Tag: Compliance

  • India’s Crypto Reporting Rules: Higher Compliance Standards for Exchanges, No New Taxes for Users

    India’s Crypto Reporting Rules: Higher Compliance Standards for Exchanges, No New Taxes for Users

    India’s Central Board of Direct Taxes (CBDT) has issued a Guidance Note implementing the OECD’s Crypto-Asset Reporting Framework (CARF), raising compliance standards for crypto exchanges. The new rules do not introduce additional taxes for individual investors—the existing 30% tax on Virtual Digital Asset gains and 1% TDS remain unchanged. However, crypto platforms must now undertake comprehensive due diligence, including determining users’ tax residency, collecting prescribed taxpayer information, identifying reportable users, classifying transactions, maintaining detailed records, and filing annual reports via Form 167. Platforms must also securely store external wallet addresses linked to reportable transfers for seven years.

    This shift requires significant investment in technology, compliance infrastructure, secure data management, and specialized talent. While it increases operating costs, it also strengthens market credibility and trust—following the trajectory of other financial industries that evolved through stronger reporting standards and transparency. Investors stand to benefit from a more structured ecosystem with fewer ambiguities, though decentralized finance, self-custodied wallets, and peer-to-peer activity remain outside the reporting framework. The industry continues to advocate for rationalizing the 1% TDS and allowing loss offsets to improve liquidity. Overall, the guidance marks a key step in integrating India’s crypto ecosystem into the formal financial system, demanding better governance and long-term compliance commitment.

  • Strategic Portfolio Management in Digital Banking: How a $10M+ Investment Drives Innovation and Efficiency

    Strategic Portfolio Management in Digital Banking: How a $10M+ Investment Drives Innovation and Efficiency

    As digital banking ecosystems grow increasingly complex, managing high-value technology portfolios has become a strategic imperative. Financial institutions are pouring resources into digital platforms, AI-powered systems, and integrated ecosystems to meet rising customer expectations and intense competition. Yet the real challenge lies in orchestrating multiple vendor systems, allocating funds between innovation and operations, and ensuring compliance while delivering exceptional customer service.

    At the heart of this high-stakes environment is Hemlata Murgusen, a technology leader who oversees a $10M+ digital banking portfolio encompassing core banking modernization, lending platforms, and AI-enabled contact center systems. Her work demonstrates how strategic portfolio management can translate investment into tangible, measurable outcomes.

    “Managing a digital banking portfolio is not just about budgets or timelines,” Murgusen explains. “It’s about aligning technology decisions with business goals while ensuring every system, vendor, and process contributes to a unified outcome.”

    Murgusen has led complex, multi-vendor initiatives that demand both technical depth and strategic oversight. One of her key strengths is integrating disparate systems – from core banking and lending platforms to AI-driven contact centers – into cohesive, high-performing ecosystems. Through structured governance and architectural discipline, she has reduced integration errors by 30–35% and improved milestone adherence to over 90%, ensuring smoother program delivery.

    A significant area of her impact has been leveraging AI and automation to enhance customer experience and operational efficiency. By implementing AI-driven IVR routing and analytics, she helped reduce average call handling time by up to 18%, decrease unnecessary call transfers by 22%, and improve first-call resolution by 12%. These improvements not only optimize internal operations but also directly boost customer satisfaction.

    “AI is most powerful when it’s integrated across systems and aligned with real business needs,” she notes. “It’s not just about automation — it’s about delivering better experiences at scale.”

    Murgusen has also strengthened multi-vendor collaboration, an often overlooked but critical factor in large-scale digital banking programs. By establishing governance frameworks, shared documentation standards, and joint technical review boards, she transformed fragmented vendor ecosystems into cohesive, accountable teams. This approach improved SLA compliance from 85% to 96% and reduced issue resolution time by nearly 28%.

    “Technology projects succeed when people and systems work together seamlessly,” she says. “Creating alignment across vendors is just as important as the technology itself.”

    From an architectural perspective, Murgusen has championed modular, API-first design principles to reduce vendor dependency and enhance scalability. These efforts led to a 40% reduction in vendor onboarding time, a 25% decrease in implementation effort, and a 30% improvement in system scalability during peak transaction periods. By advocating for flexible, service-oriented architectures, she helps organizations build systems that are both resilient and future-ready.

    Equally important is her focus on compliance and data governance. In a highly regulated industry, ensuring consistent data flows and audit readiness across multiple vendor platforms is essential. Murgusen streamlined compliance processes, reducing manual reporting effort by 20% while improving data traceability and regulatory readiness.

    “Compliance should not slow innovation — it should enable it,” she emphasizes. “When governance is built into the architecture, organizations can move faster with confidence.”

    Despite these successes, managing a $10M portfolio comes with challenges. Murgusen has navigated issues such as aligning vendors with conflicting priorities, managing multi-platform integrations, and ensuring regulatory compliance across diverse systems. By introducing structured governance, standardized API contracts, and optimized workflows, she consistently delivers solutions that balance innovation with stability.

    Murgusen’s leadership extends beyond execution. She shares insights and knowledge across the industry, influencing AI systems for customer service, vendor integration methods, and scalable banking architectures. Her key insight is simple: portfolio management is not just about technology — it requires operations and leadership working together. All three parts matter equally.

    The future of digital banking, she believes, will see flexible system designs become standard, greater AI integration into daily operations, and compliance built into systems from the start rather than added later. Banks that manage their portfolios smartly will separate themselves from competitors.

    “The future belongs to organizations that can adapt quickly while maintaining control,” she observes. “Strategic portfolio management is what makes that balance possible.”

    Hemlata Murgusen’s approach shows how good portfolio leadership works in banking, turning investments into lasting value by driving innovation while keeping operations stable. As digital banking grows more complex, her leadership handles this challenge effectively.

  • Top Contractor Payment Platforms for 2026: Expert Picks for Compliance and Global Payouts

    Top Contractor Payment Platforms for 2026: Expert Picks for Compliance and Global Payouts

    Hiring contractors across borders has become standard practice for growing companies that need specialized skills without the wait of a traditional hiring plan or local entity setup. But the real challenge often emerges after the hire: how contractors get paid, whether payments arrive on time and in the right currency, and whether the engagement is structured to protect the company from misclassification claims.

    Most payment app comparisons focus on the freelancer’s perspective—fees, transfer speed, exchange rates. This guide is built for HR, finance, and operations teams responsible for paying a distributed contractor workforce while staying compliant. For contractors evaluating high-income freelance roles, the payment infrastructure their client uses is invisible until something goes wrong. For the company, it’s a real operational and legal exposure.

    Contractor Payment Service Providers to Know in 2026

    1. Papaya Global

    Papaya Global structures contractor payments around Agent of Record (AOR), meaning contractors are engaged on Papaya’s own paper rather than the hiring company’s. This shifts misclassification liability to the experts, addressing the single biggest risk most companies underestimate when scaling contractor headcount across jurisdictions. The platform covers 130 payout currencies on Tier 1 banking rails, with invoice collection, validation, and payment handled without manual processing. Its AI-driven compliance and reporting features (Papaya ONE) provide data-driven insights. Contractors sit in the same data model as employees and EOR workers, offering one unified workforce picture instead of a separate system.

    2. Deel

    Deel built its early reputation on contractor payments before expanding into EOR and payroll. It supports a wide range of payout methods and local currencies, and its contract templates are localized by country. Companies with a large, fast-growing contractor base often start here because onboarding can happen in minutes.

    3. Remote

    Remote pairs contractor payments with compliance and contract management tools, and it builds entity ownership into its model in several markets rather than relying purely on partner networks. This ownership matters most when a contractor engagement runs long enough that reclassification risk becomes a real question.

    4. Rippling

    Rippling’s advantage is integration depth. Contractor payments sit inside the same system as payroll, IT provisioning, and HR records, making it a strong fit for companies that already run their full workforce through Rippling and want contractors managed the same way.

    5. Airwallex

    Airwallex is built like financial infrastructure rather than an HR platform. It offers global accounts in 20+ currencies, multi-currency virtual cards, and strong accounting integrations. It’s a fit for finance teams that want granular control over how and when international payments settle.

    6. Wise Business

    Wise Business extends the transparent, mid-market exchange rate model that made Wise popular into a business payout tool. For companies paying a smaller number of contractors and prioritizing low fees and rate transparency over compliance infrastructure, it’s a straightforward option, though it does not address misclassification risk on its own.

    7. Oyster

    Oyster combines contractor payments with EOR services and emphasizes localized contracts and benefits access for contractors in markets where that matters for retention. It’s reasonable for companies weighing whether a role should be a contractor or full employee, since both paths run through the same platform.

    Key Factors to Consider Before Choosing

    Fees and transfer speed are easy to compare. The harder questions are about risk. Does the provider take on responsibility if a contractor is later found misclassified? What happens if a payment fails or is delayed—does the company absorb the cost and relationship damage, or does the provider? Currency coverage matters more than it looks on a feature list: a provider that supports 20 currencies well is often better than one claiming 100+ but routing half through slow correspondent banking. Integration matters for scale: a contractor payment tool that cannot connect to systems tracking headcount, cost centers, and compliance status becomes its own reconciliation project once the contractor count moves from a handful to a few dozen.

    Conclusion

    The right contractor payment provider depends on how much risk a company wants to manage itself versus transfer to a partner. A smaller contractor base with straightforward payouts may do fine with a fee-transparent tool like Wise. A larger, multi-country contractor workforce, especially one expected to keep growing, benefits more from a provider that treats classification risk and payment reliability as part of the same problem. Whatever the choice, the test is the same: does the provider make it easy to know, at any point, who’s been paid, what’s compliant, and where the exposure sits if something goes wrong?

    FAQs

    What’s the difference between a contractor payment app and an Agent of Record (AOR) service?

    A payment app moves money from the company to the contractor and stops there. An AOR service engages the contractor on its own legal paper, which means it can absorb misclassification liability rather than leaving that risk with the hiring company.

    How many contractors should a company have before considering a dedicated platform over a basic payment app?

    Once contractor payments span more than a handful of countries or the company is managing renewal dates, invoices, and classification questions manually, the operational cost of a spreadsheet-based process usually exceeds the cost of a dedicated platform.

    Can the same platform handle both contractors and full-time employees?

    Several providers—Papaya Global, Rippling, Oyster—manage contractors and employees in the same system. That’s useful for companies that expect some contractors to convert to full-time roles or want one consolidated view of total workforce cost.

    Is misclassification risk really a serious concern for a small number of contractors?

    Yes. Misclassification exposure is not only a function of headcount but of how the engagement is structured and how long it runs. A single long-term contractor treated like an employee in practice—set schedule, company equipment, exclusive engagement—can trigger the same liability as a larger program.

    Do these platforms handle contractor tax documentation?

    Most platforms listed handle tax form collection relevant to the contractor’s classification and country. Depth varies, so confirm coverage for the specific countries where contractors are based before committing.

  • Why Bank Fraud Models Need Validation, Not Just Accuracy: A Deep Dive into the Blind Spot

    Why Bank Fraud Models Need Validation, Not Just Accuracy: A Deep Dive into the Blind Spot

    Every large bank now runs anti-money-laundering (AML) and fraud-detection models that score millions of transactions daily. The marketing tells one story—detection rates climbing, false positives falling, model architectures getting smarter. But inside the engineering organizations that ship and operate these systems, a different story is told: the models work on the day they were built. What happens on day 200 is a harder question most banks answer poorly.

    Few have answered that harder question as convincingly as Manu Subhashchandrabose, Director of Digital and AI Quality Engineering. His fraud- and AML-validation programs have set new benchmarks across the U.S. regional-banking sector, leading quality engineering behind a $200M+ multi-year core-banking transformation spanning six affiliate banks. The program went live with zero critical fraud-related defects and achieved 100% reconciliation accuracy on the data fraud models depend on.

    The Blind Spot: Accuracy vs. Validation

    Manu puts it bluntly: “Accuracy is not the real problem. Validation is.” A bank that confuses the two will fund a model team, ship a model, watch dashboards report 98% accuracy, and discover only after a regulatory examination that the 2% it missed was the 2% that mattered. The blind spot at the center of modern fraud detection is not in the model—it is in everything around it.

    The Drift Banks Do Not Want to See

    Fraud models are trained on yesterday’s behavior. Customers, criminals, upstream data feeds, rule libraries, and integration layers all shift continuously. The model does not. In the time it takes a quarterly compliance committee to meet, a behavioral fraud model can lose meaningful detection signal without producing any visible alert that something is wrong.

    “Fraud models inherit the weaknesses of the systems around them,” Manu explains. “If data pipelines, ETL jobs, or integration layers are flawed, even the most accurate model becomes blind.”

    His team built a data-lineage validation framework that traced every fraud-critical field from origin to model input, with reconciliation at each hop and threshold tests on the values. The result: 100% reconciliation accuracy on fraud-critical data, and model behavior stopped diverging across affiliate banks.

    Why False Positives Are a Validation Problem, Not a Tuning Problem

    Most banks treat AML false-positive rates as a tuning problem. Manu argues this approach is backwards. “Rules are outdated, undocumented, and inconsistent across systems. You can tune a threshold all day and never fix the fact that the underlying scenario library is missing cross-channel patterns, structured transactions, and country-specific triggers.”

    His teams designed scenario-based testing for structured transactions, currency-transaction-report triggers, sanctions screening, and behavioral anomalies. One AML modernization program produced a 40% increase in scenario coverage and a 15–20% reduction in false positives—because the scenario library got correct, not because someone moved a threshold.

    The Cloud Migration That Almost Broke a Fraud Stack

    The riskiest moment in a fraud model’s life is when its inputs move. Cloud migration of core banking systems means shifting customer profiles, transaction histories, AML flags, and behavioral features into cloud-native pipelines. A single mis-mapped field can corrupt a feature and degrade a model in ways that look like normal variation in alert volume.

    Manu led data-migration validation for one such cloud transformation. His teams built SQL-driven reconciliation across source and target, automated validation scripts on every batch, and data-quality dashboards that surfaced anomalies before the model team did. The program achieved 100% reconciliation accuracy on fraud-critical data and prevented post-migration degradation an accuracy-only regime would have missed.

    Continuous Validation as a Discipline, Not a Project

    The technical scaffolding is only half the story. The other half is governance. On the multi-year core banking transformation, Manu’s QA organization grew to 55 engineers across 10 teams. Quality gates were embedded in the build pipeline, and CI/CD integration accelerated AML rule deployment by 30–40% because rule changes were validated against a living scenario library on the way in rather than against a quarterly batch run.

    “Models degrade over time,” Manu says. “Validation must evolve with customer behavior, transaction patterns, and emerging fraud vectors. Treat the model as a living system, not a static algorithm.”

    What Regulators Are Now Asking For

    The supervisory environment has moved in his direction. Examiners increasingly probe for model-validation evidence rather than accuracy summaries. The Anti-Money Laundering Act amendments and OCC guidance have raised the bar on explainability, traceability, and ongoing validation.

    “Regulators are raising the bar,” Manu warns. “They are asking for explainability, traceability, and validation, not just accuracy metrics. The teams that can produce that evidence on demand are the ones that built it into the system.”

    His programs reported a 35–50% reduction in fraud-related production defects and 85–90% automation coverage across AML, CTR, sanctions screening, and high-risk transaction monitoring. The number that matters most to him is the absence of a category: no fraud-related production defect required executive escalation at go-live. That is a validation outcome, not a tuning outcome.

    The Misconception That Costs Banks the Most

    The mistake Manu wants banking-technology leaders to stop making is treating a high accuracy score as a license to relax. “A model with 98% accuracy can still miss the 2% of transactions that cause millions in fraud losses. Accuracy is a snapshot. Validation is a discipline.”

    Hire validation engineers alongside data scientists. Treat the ETL jobs that feed a model as part of the model’s surface area. Write scenario tests against regulatory expectations, not only against labeled datasets. Move validation left, into requirements and design, rather than treating it as a release-readiness checkbox.

    For an industry that has spent a decade pouring money into model sophistication, the shift is not glamorous. It is plumbing, governance, and discipline. The banks that build it—the way Manu has built it, program after program—are the ones whose fraud stacks still work the day after the data shifts, the rule library changes, or the next examiner walks in. The banks that do not will keep reporting impressive accuracy on models that have quietly stopped catching the fraud that matters.

  • Insignary Introduces Clarity On-Demand: Pay-Per-Project SBOM Generation Without Annual Contracts

    Insignary Introduces Clarity On-Demand: Pay-Per-Project SBOM Generation Without Annual Contracts

    Toronto, Canada – July 15, 2026 – Insignary Inc., a leader in software supply chain security and binary software composition analysis (SCA), today announced the launch of Insignary Clarity On-Demand, a self-service, pay-per-project offering that provides immediate access to patented SCA and Software Bill of Materials (SBOM) generation — with no annual subscription required.

    Most traditional SCA tools rely on what software claims to contain rather than what it actually contains. Clarity On-Demand addresses this gap by analyzing compiled binaries to detect every open-source component, including those from AI-generated code, vendor libraries, and statically linked binaries that bypass package managers.

    Designed for Flexibility and Urgency

    Clarity On-Demand is built for two primary audiences:

    • Teams evaluating Insignary Clarity before committing to a full enterprise deployment.
    • Smaller organizations that need professional-grade SBOM generation and vulnerability visibility for a specific project without an ongoing subscription.

    With regulatory deadlines looming — including Canada’s Bill C-8 (Critical Cyber Systems Protection Act) and the U.S. FDA’s requirement for SBOMs in premarket submissions for connected cyber devices — organizations can no longer wait for annual procurement cycles.

    “You cannot verify an SBOM by reading the manifest that created it. You verify an SBOM by examining the software that was actually built, shipped, and deployed. Clarity On-Demand makes that level of verification accessible to any organization — from a development team preparing for its first compliance audit to an enterprise team evaluating binary SCA for the first time.” — Taek Wan Kim, President & CEO, Insignary

    What Clarity On-Demand Includes

    Each subscription provides two weeks of access for a single user and a single project. Within that window, users can:

    • Generate a complete SBOM from source code and compiled binaries
    • Receive automated license and security risk alerts
    • Identify components associated with known patent licensing risks
    • Receive alerts for known exploits tied to identified components

    Clarity On-Demand is available on a self-service, pay-per-project basis with plans based on scan volume. First-time users receive 50% off their first project. Full pricing details are available at insignary.com/clarity-on-demand.

    Why Binary-Level Analysis Matters

    The U.S. National Security Agency (NSA) specifically recommends that national security system owners “obtain SBOMs and associated vulnerability and code quality information from analysis of software binaries.” Clarity On-Demand extracts fingerprints directly from compiled binary code using Insignary’s patented technology, ensuring no component goes undetected.

    Trusted by Governments and Global Enterprises

    Insignary’s technology is already used by government organizations and global leaders across electronics, defense, financial services, automotive, manufacturing, medical devices, and other sectors. Key partners include BearingPoint (exclusive distributor in Europe), Cybertrust Japan, and TechMatrix.

    About Insignary

    Insignary Inc. is a Toronto-based cybersecurity company specializing in binary software composition analysis and software supply chain security. Its patented technology identifies open-source components, vulnerabilities, and software provenance directly from compiled binaries without requiring access to source code. For more information, visit www.insignary.com.

    Contact

    Principal Solutions Architect
    Jessica Lee
    Insignary
    jessicalee@insignary.com

    This is a paid press release published via CyberNewswire, a PR newswire syndication platform for cybersecurity companies.

  • Mastering Identity Lifecycle Management: Key Phases, Best Practices, and Essential Tools

    Mastering Identity Lifecycle Management: Key Phases, Best Practices, and Essential Tools

    Identity lifecycle management governs how access is provisioned, maintained, changed, and revoked for both human and non-human identities. It is a core access control function because lifecycle events determine who—or what—can reach applications, data, infrastructure, and privileged functions. When lifecycle controls are weak, organizations accumulate stale entitlements, delayed deactivation, excessive privileges, orphaned accounts, unmanaged credentials, and other access paths that expand security exposure.

    How Identity Lifecycle Management Works

    Identity lifecycle management keeps access aligned to verified business need. It connects identity data, policy decisions, workflow execution, and enforcement across the identity and access management (IAM) lifecycle. Lifecycle management acts as an enforcement layer, determining who or what can access critical systems, under which conditions, for how long, and with which governance requirements.

    Identity Data Sources and Authoritative Systems

    Authoritative identity data determines whether lifecycle decisions are accurate. Human resources systems, contractor platforms, directories, cloud identity providers, configuration management databases, DevOps platforms, and SaaS applications can all provide signals that define identity status, ownership, role, and access eligibility.

    • Employees: Lifecycle events usually originate in HR records, including hiring, transfer, leave, or termination status.
    • Contractors: Status, ownership, and end dates may come from contractor management platforms, vendor records, or procurement systems.
    • Non-human identities: Service accounts, API keys, machine credentials, OAuth tokens, and autonomous AI agents often depend on weaker ownership records and may require separate discovery and inventory controls.

    Policy-Driven Access Requests, Approvals, and Fulfillment

    Policy-driven provisioning grants access based on verified need rather than convenience, precedent, or unmanaged exceptions. Requests should be evaluated against role, attributes, risk, segregation-of-duties rules, data sensitivity, business justification, and time limits. Identity lifecycle management tools route requests through standard approvals, enforce policy before fulfillment, and retain evidence for each decision. Less-controlled models rely on email approvals, manual tickets, and inherited permissions, which can create privilege sprawl over time.

    Continuous Monitoring and Lifecycle Automation

    Lifecycle control does not end after provisioning. Access must stay accurate as identities move across roles, projects, locations, employment status, ownership structures, and technology environments. Continuous monitoring compares current entitlements with current identity attributes and policy requirements. Automation can trigger remediation when access no longer matches verified need, reducing the time between business change and access correction.

    Key Phases of Identity Lifecycle Management

    Identity lifecycle management phases are event-driven control points. Hiring, onboarding, role changes, project assignments, emergency access, separations, ownership transfers, and system decommissioning should each trigger access decisions. Every identity is a potential access path, and every access path is part of the enterprise attack surface. Lifecycle management helps keep access intentional, current, and defensible.

    Joiner Phase: Onboarding and Birthright Access

    The joiner phase establishes the initial access baseline. Employees, contractors, service accounts, bots, and workload identities should receive only the entitlements required for their role, function, environment, and approved business purpose. Birthright access needs close governance because it becomes the foundation for future privilege accumulation. Programs should define access using role-based, attribute-based, and policy-based models instead of copying peer permissions or granting broad defaults.

    Mover Phase: Role Changes and Access Adjustments

    The mover phase is where privilege sprawl often becomes permanent. Promotions, department transfers, project additions, temporary grants, emergency privileges, and geographic changes can all affect whether existing entitlements remain valid. Access granted for a previous responsibility should not persist after the business need expires. Lifecycle workflows should remove outdated access as part of the same event that provisions new access.

    Leaver Phase: Offboarding and Access Revocation

    The leaver phase covers deactivation, revocation, credential invalidation, and access path closure. Separations, contract endings, vendor exits, workload retirements, and service decommissioning should trigger timely and complete access removal. Controls should disable accounts, revoke active sessions where supported, remove group memberships, rotate shared secrets, invalidate tokens, and preserve evidence that deactivation occurred within required service-level targets.

    Benefits of an Effective Identity Lifecycle Management Solution

    An effective identity lifecycle management solution reduces exposure by making access decisions faster, more consistent, and easier to audit. It turns identity changes into controlled actions across directories, SaaS platforms, cloud services, databases, infrastructure, and privileged access systems. The value is governance at scale: access stays aligned to verified need, while exceptions become visible, time-bound, and reviewable.

    Reduced Security Risk and Least-Privilege Access

    Least privilege depends on lifecycle accuracy. If access is not removed when roles change or identities leave, least privilege cannot be enforced. Lifecycle controls use policy, automation, and access analytics to identify excessive entitlements, toxic combinations, dormant accounts, and high-risk privilege assignments. Stale permissions should be treated as exposure conditions that require review, remediation, or documented acceptance.

    Faster Onboarding, Productivity, and Operational Efficiency

    Lifecycle automation reduces delay without removing control. New identities can receive approved access quickly because policy, approvals, and fulfillment run through repeatable workflows. Well-integrated identity lifecycle management tools reduce manual service-desk work, limit repetitive provisioning tasks, and prevent speed from depending on governance bypasses.

    Audit Readiness and Compliance Evidence

    Regulated environments require evidence that access is appropriate, approved, reviewed, and revoked on time. Lifecycle management provides the control record behind those assertions. A mature program can show who approved access, why it was granted, when it changed, how it was fulfilled, and when it was removed. That evidence supports internal policy, external regulation, contractual commitments, and security assurance obligations.

    Identity Lifecycle Management Challenges

    Identity lifecycle management breaks down when identity data, application ownership, workflow execution, and enforcement systems are fragmented. The result can be inconsistent access, incomplete revocation, weak accountability, and poor visibility into who or what can reach sensitive assets. The operational requirement is straightforward: every identity needs an owner, every entitlement needs a purpose, and every access path should be justifiable when inspected.

    Disconnected Applications and Incomplete Identity Data

    Disconnected applications create unmanaged access islands. When systems sit outside centralized provisioning and deprovisioning, lifecycle decisions depend on local administrators, manual updates, and inconsistent evidence. Incomplete identity data makes the problem worse. If role, manager, employment status, asset ownership, or application entitlement data is inaccurate, automation can accelerate flawed decisions. Data quality should be addressed before automation is expanded.

    Excessive Privileges, Orphaned Accounts, and Shadow Access

    Excessive privileges often emerge gradually. A project grant remains after delivery, a temporary admin role becomes permanent, a contractor account survives contract expiration, or a service account loses its owner after a team reorganization. Shadow access is difficult to govern because it sits outside normal access management processes. Programs need continuous discovery of accounts, credentials, tokens, groups, and entitlements across managed and unmanaged systems.

    Balancing Automation, Governance, and User Experience

    Automation without governance can provision risky access at scale. Governance without automation creates delays that may lead to workarounds, shared accounts, and unauthorized access paths. Risk-based workflows help balance both needs. Low-risk, policy-compliant access can be fulfilled automatically, while privileged, sensitive, or unusual access requires stronger approval, time limits, justification, and post-grant review.

    Non-Human Identity Lifecycle Management

    Non-human identity lifecycle management is now a central enterprise security requirement. Service accounts, API keys, machine credentials, OAuth tokens, bots, workloads, containers, scripts, CI/CD identities, and autonomous AI agents often hold persistent access to sensitive systems. In many environments, these identities outnumber human identities and change more often. When unmanaged, they create durable access paths that are hard to attribute, revoke, and monitor.

    Service Accounts, API Keys, Bots, and Machine Identities

    Non-human identities support automation, integration, workload execution, and system-to-system communication. Their risk profile differs from human identities because they often run continuously, authenticate without interactive controls, and rely on secrets that may be copied, embedded in code, or forgotten. Programs should classify non-human identities by function, owner, environment, privilege level, credential type, and business criticality. An API key used in production payment processing requires different governance than a temporary test token in a sandbox.

    Ownership, Rotation, and Credential Lifecycle Controls

    Ownership makes non-human identities governable. Every service account, machine identity, token, and autonomous agent should have a business owner, technical owner, approved purpose, expiration logic, and revocation path. Credential lifecycle controls reduce persistence risk. These controls include rotation, vaulting, scoped privileges, short-lived credentials where supported, certificate renewal controls, secret scanning, and automated deactivation when workloads or integrations are retired.

    How an Identity Security Platform Governs Non-Human Identities

    An identity security platform extends lifecycle governance beyond employees and contractors. It discovers non-human identities, maps them to owners and assets, evaluates entitlements, and enforces policy across hybrid infrastructure, cloud environments, SaaS applications, and DevOps pipelines. Non-human identities should be treated as first-class security subjects. Governance should include access certification, anomaly detection, credential hygiene, entitlement analysis, and automated remediation when a machine credential, OAuth token, or AI agent exceeds its approved scope.

    Best Practices for Managing the Identity and Access Management Lifecycle

    Managing the identity and access management lifecycle requires a structured operating model. Policies, ownership, automation, access reviews, and metrics must work together so lifecycle decisions stay accurate at enterprise scale. The objective is not simply to manage accounts. The objective is to govern exposure by ensuring every entitlement reflects current, verified need and every lifecycle event produces timely access correction.

    Define Ownership, Policies, and Role-Based Access Models

    Ownership and policy design determine whether lifecycle management can scale. Without clear accountability, access reviews become procedural exercises, and remediation becomes inconsistent.

    • Identity ownership: Each human and non-human identity should have an accountable owner responsible for legitimacy, access needs, and lifecycle status.
    • Access models: Role-based, attribute-based, and policy-based access models should define standard entitlement patterns and reduce ad hoc grants.
    • Exception handling: Exceptions should be justified, risk-scored, time-bound, and reviewed before they become permanent exposure.
    • Application accountability: Application owners should validate entitlement meaning, sensitivity, and revocation behavior.

    Automate Provisioning, Deprovisioning, and Access Reviews

    Automation gives lifecycle controls the speed required to match business change. Manual execution often cannot keep pace with hiring, transfers, project churn, cloud expansion, and non-human identity growth.

    1. Event capture: Lifecycle events should originate from authoritative systems such as HR, contractor platforms, ITSM, CMDB, cloud control planes, and DevOps tooling.
    2. Policy evaluation: Access decisions should be checked against role, attributes, risk, segregation-of-duties constraints, and data sensitivity.
    3. Workflow execution: Approved access should be provisioned through controlled connectors, APIs, or orchestration workflows with full logging.
    4. Revocation action: Access removal should disable accounts, remove entitlements, revoke sessions where supported, invalidate credentials, and confirm completion.
    5. Review cadence: Access reviews should be targeted by risk, privilege level, application criticality, and lifecycle event history.

    Measure Maturity Across the Identity Management Lifecycle

    Measurement separates governed lifecycle management from routine administration. Security leaders need metrics that show whether access is correct, excessive, delayed, or unowned.

    • Provisioning speed: Time from approved request to completed access fulfillment.
    • Deactivation latency: Time from separation, retirement, or ownership change to complete revocation.
    • Privilege reduction: Volume of excessive, dormant, or toxic entitlements removed.
    • Review effectiveness: Percentage of access reviews resulting in meaningful remediation.
    • Coverage depth: Percentage of applications, cloud services, and non-human identities under lifecycle governance.
    • Exception aging: Number and age of temporary grants, emergency privileges, and policy exceptions.

    Identity lifecycle management defines how tightly the enterprise access surface is controlled. Programs that combine lifecycle automation, authoritative data, and governance discipline reduce privilege sprawl, close stale access paths, and maintain defensible control over human and non-human identities.

  • ESMA Launches EU-Wide Crypto Custody Review Following MiCA Deadline

    ESMA Launches EU-Wide Crypto Custody Review Following MiCA Deadline

    The European Securities and Markets Authority (ESMA) has initiated a comprehensive review of licensed crypto custody providers across the European Union, just days after the full implementation of the Markets in Crypto-Assets (MiCA) regulation on July 1, 2026. Announced on July 8, 2026, this Common Supervisory Action (CSA) marks a significant shift from the licensing phase to ongoing compliance and supervision in the crypto sector.

    ESMA’s review will focus on how authorized crypto-asset service providers (CASPs) safeguard client assets through secure custody practices, operational resilience, and risk management. National regulators will inspect a risk-based sample of licensed firms during the assessment period, running from the second half of 2026 through the first half of 2027.

    Key Areas of Assessment

    The supervisory action will examine several critical aspects of crypto custody operations under MiCA:

    • Governance arrangements – How firms manage and oversee custody processes.
    • Private key management – Security measures for controlling access to client assets.
    • Storage controls – Physical and logical safeguards for digital asset storage.
    • Transaction monitoring – Systems for detecting and reporting suspicious activities.
    • Incident detection procedures – Protocols for identifying and responding to security breaches.
    • Smart contract risks – Assessment of vulnerabilities in automated agreements.
    • Third-party reliance – Evaluation of technology providers supporting custody operations.

    Post-MiCA Transition Period

    The review follows the expiration of MiCA’s transitional period on July 1, 2026. From that date, any company offering crypto services in the EU without proper MiCA authorization is violating EU law. ESMA has instructed unauthorized firms to cease operations and implement orderly wind-down plans, which must include notifying clients and allowing them to transfer assets to an authorized provider or a self-hosted wallet. Additionally, MiCA prohibits authorized firms from outsourcing custody services to entities lacking CASP authorization.

    No New Obligations, But Higher Scrutiny

    ESMA confirmed that the review introduces no new custody obligations. Instead, regulators will assess whether licensed firms already meet the operational standards established under MiCA. Custody providers remain liable for client asset losses resulting from incidents attributable to them, with liability capped at the market value of the lost assets. The review aims to ensure firms have robust controls to reduce operational failures and protect customer holdings.

    According to CoinPaprika data cited by ESMA, the global cryptocurrency market stood at approximately $2.25 trillion on July 8, 2026, after a 2% decline in the previous 24 hours. This substantial market value underscores the importance of secure custody practices.

    Future Implications

    The Common Supervisory Action will continue until the first half of 2027. ESMA will then compile its findings into a report for its Board of Supervisors during the second half of 2027. The results, which will not identify individual firms, will guide how national regulators apply MiCA standards and supervise crypto custody providers across the EU. This coordinated effort aims to ensure consistent supervisory practices and strengthen the overall security of the European crypto market.

  • CertiK Named Preferred Security and Compliance Vendor for Hub71, Boosting Abu Dhabi’s Digital Asset Ecosystem

    CertiK Named Preferred Security and Compliance Vendor for Hub71, Boosting Abu Dhabi’s Digital Asset Ecosystem

    NEW YORK, New York [July 6, 2026] — CertiK, the largest Web3 security services provider, today announced its selection as an official vendor for Hub71, the global tech ecosystem based in Abu Dhabi Global Market (ADGM). The partnership gives Hub71 portfolio companies preferred access to CertiK’s security and compliance services as they build and scale in one of the world’s fastest-growing digital asset hubs.

    As part of the partnership, Hub71 portfolio companies will receive a 20% discount across CertiK’s full range of services, backed by a total subsidy pool of $200,000 available to eligible companies in the ecosystem. Hub71 startups will also receive free access to the CertiK Compliance Tool, CertiK’s platform for navigating licensing applications — including with the ADGM Financial Services Regulatory Authority (FSRA) and the UAE Central Bank — and for managing ongoing regulatory compliance.

    The partnership comes as digital asset regulation in the UAE and beyond has moved from an exploratory phase into active, cross-jurisdictional enforcement. For early-stage companies, that shift has raised the stakes around licensing readiness, AML compliance, and smart contract security from day one, rather than as later-stage concerns.

    Through the partnership, Hub71 companies gain direct access to CertiK’s suite of services, including smart contract audits, penetration testing, and ongoing security monitoring, alongside compliance support tailored to the licensing pathways most relevant to companies building in and around ADGM. The CertiK Compliance Tool is designed to help founders track requirements across jurisdictions as they expand internationally, reducing the time and cost typically associated with multi-jurisdictional licensing.

    The collaboration reinforces CertiK’s role as a trusted security and compliance partner for high-growth digital asset ecosystems globally, and reflects Hub71’s continued investment in giving portfolio companies access to the infrastructure and expertise needed to scale responsibly.

    About Hub71

    Hub71 is Abu Dhabi’s global tech ecosystem, created to help ambitious startups build, scale, and access new markets from the UAE. Backed by Mubadala, ADQ, and ADGM, and headquartered within Abu Dhabi Global Market, Hub71 connects founders with capital, corporate and government partners, and a growing community of tech companies across fintech, Web3, AI, and other high-growth sectors. Since its launch, Hub71 has supported hundreds of startups with funding access, business setup support, and a network designed to accelerate their growth in the region and beyond.

    About CertiK

    CertiK is the largest Web3 security services provider, founded in 2017 and headquartered in New York. Based on breakthroughs in formal verification technology achieved by professors from Yale University and Columbia University, CertiK has become a trusted risk management partner for regulators, institutions, and Web3 innovators.

    CertiK delivers AI-powered, full-lifecycle risk management solutions that integrate directly into institutional clients’ system development lifecycles (SDLC). Backed by the industry’s largest Web3 security database, CertiK embeds AI at the very forefront of code development, code auditing, formal verification, and product deployment, while integrating it into on-chain and off-chain real-time scanning, helping organizations manage risk throughout the entire digital asset lifecycle and transform reactive security into proactive governance.

    To date, CertiK has detected more than 117,000 vulnerabilities and protected over $600 billion in digital assets across 150+ countries and regions. Operating under SOC 2 Type II and ISO 27001 standards, CertiK also works closely with regulators across multiple jurisdictions, contributing to digital asset policy development and regulatory consultation efforts worldwide.

  • AI Legal Startup Norm Secures $120M, Reaches $1.2B Valuation to Transform Law Firm Model

    AI Legal Startup Norm Secures $120M, Reaches $1.2B Valuation to Transform Law Firm Model

    Norm has joined the growing list of billion-dollar AI companies after raising $120 million in a Series C funding round led by Khosla Ventures. The latest investment values the AI law startup at $1.2 billion, granting the company unicorn status. Norm also confirmed it has raised more than $260 million since launching less than three years ago. The new funding will help the company improve its products and hire more lawyers as demand for AI-powered legal services continues to grow.

    Norm is taking a different approach from many legal technology companies. Instead of only building software for lawyers, the company runs an AI-native law firm called Norm Law. Its AI agents complete legal and compliance work while experienced attorneys review every important task before clients receive the final results. This model allows businesses to use AI without removing human legal expertise from the process.

    A Different Business Model

    Another major difference is how Norm charges its customers. Traditional law firms usually bill clients by the hour, but Norm offers outcome-based pricing based on the results it delivers, making legal costs easier to predict for businesses. Many enterprise companies, especially financial firms, want faster compliance support while keeping legal expenses under control. Norm believes this pricing model better matches the needs of modern businesses.

    Several well-known investors joined the funding round alongside Khosla Ventures. The list includes Bain, Craft Ventures, Coatue, Vanguard, New York Life, TIAA, Fenwick LLP, Tony James, and Jeff Hammes. The company plans to use the fresh investment to expand its AI platform, develop more legal products, and bring more attorneys onto its team.

    The latest funding also shows that investors are backing AI companies focused on specific industries rather than general AI tools. Legal work often includes large amounts of paperwork, compliance checks, and complex regulations. AI can complete many of these tasks much faster while lawyers continue supervising the work. This combination makes legal services more efficient for large businesses.

    Growing Competition in Legal AI

    Norm also competes in a fast-growing legal AI market alongside companies such as Harvey and Legora. Those companies mainly build AI tools that help lawyers complete their work. Norm follows a different strategy by directly providing legal services through its AI-powered law firm. This approach gives the company a unique position in the legal technology industry.

    Norm’s latest funding shows that investors now see AI as more than a tool for improving office work. Companies are starting to build complete AI-powered services with human experts checking the final results. This trend could change how legal services work over the next few years, especially for businesses that deal with strict regulations.

    Norm still has challenges ahead as it grows. Legal regulators may closely watch AI-based law firms, while large businesses will expect accurate legal advice and strong data security. The company’s future success will depend on building trust, meeting legal standards, and expanding its customer base.

    The new funding gives Norm a strong position to grow during 2026. If the company successfully expands its AI agents and legal team, it could encourage more law firms to adopt AI while moving away from the traditional hourly billing model.

  • Why Small Businesses Need CMMC: A Practical Guide to Cybersecurity Compliance

    Why Small Businesses Need CMMC: A Practical Guide to Cybersecurity Compliance

    Small businesses face an increasingly dangerous cybersecurity landscape. Data breaches, ransomware, and supply chain vulnerabilities are no longer hypothetical threats, which is why robust security frameworks have become non-negotiable. For companies handling sensitive federal information, the Cybersecurity Maturity Model Certification (CMMC) has evolved into both a compliance requirement and a solid defense strategy.

    CMMC solutions provide small businesses with a structured way to protect controlled unclassified information (CUI) and federal contract data. But the benefits go beyond satisfying regulators. Done right, these frameworks help build a security posture capable of withstanding sophisticated threats. Here’s how CMMC implementation actually strengthens cybersecurity and what business leaders need to know before getting started.

    What CMMC Solutions Actually Do

    At its core, the Cybersecurity Maturity Model Certification establishes a unified set of security standards for defense contractors and everyone in their supply chain. The Department of Defense created it to replace a patchwork of overlapping requirements with a single framework across five maturity levels, each building on the security controls from the level before.

    CMMC solutions pursue three main goals:

    • Standardized Protection: Getting everyone in the defense industrial base on the same security page, replacing the mismatched standards that were previously common.
    • Verified Implementation: Using independent assessors to confirm controls are in place and functioning, not just gathering dust in a binder.
    • Supply Chain Security: Extending protection requirements deeper into contractor networks, precisely where adversaries have been finding entry points.

    The framework heavily relies on NIST cybersecurity standards, especially Special Publication 800-171, which details how to protect CUI on non-federal systems. Because of the overlap, working toward CMMC compliance strengthens a business’s entire cybersecurity posture, not just the parts tied to federal work.

    Why CMMC Compliance Matters Beyond Contracts

    While CMMC certification is required for defense contracts, its value extends much further. The certification process often reveals security gaps that companies didn’t know existed. Small businesses frequently discover weaknesses in access controls, incident response, or data handling that have been unnoticed for years. Fixing those issues lowers risk across the entire business, not just government-contract areas.

    There’s also a trust factor. As commercial clients scrutinize vendors’ cybersecurity practices, CMMC certification becomes verifiable proof that a company takes data protection seriously. This can tip the scales in competitive bidding situations.

    Financially, small businesses face average breach costs exceeding $2.98 million. The controls CMMC requires—multi-factor authentication, encryption, network segmentation, and incident response planning—directly address the vulnerabilities that lead to those breaches.

    Understanding NIST 800-171 Requirements

    NIST Special Publication 800-171 is the technical engine behind CMMC Level 2, the level most defense contractors need to achieve. It outlines 110 security requirements across 14 families, covering access control, awareness and training, audit and accountability, incident response, and system and communications protection.

    Key areas include:

    • Access Control: Ensuring only authorized users and devices can access systems, applying least-privilege principles, and controlling information flow.
    • Awareness and Training: Educating personnel about risks and their role in protecting sensitive information.
    • Audit and Accountability: Maintaining audit records to monitor, investigate, and respond to security events.
    • Incident Response: Building capability to detect, report on, and respond to cybersecurity incidents.
    • System and Communications Protection: Monitoring and controlling communications at system boundaries, plus using cryptographic protections.

    Meeting these requirements typically involves a mix of technical deployment and process change. You’ll deploy tools like endpoint detection and encryption, but also write policies, run training sessions, and set up ongoing monitoring. The upside is that NIST 800-171 doesn’t force a one-size-fits-all approach—it allows businesses to implement controls in ways that fit their operations.

    The Strategic Role of CUI Enclaves

    Controlled unclassified information comes with specific protection requirements, and applying them across an entire IT environment is often impractical for small businesses. That’s where a CUI enclave shines: a separate, hardened environment designed for handling sensitive information.

    Think of it as a secure zone within a larger network. By isolating sensitive data and the systems that touch it, businesses can concentrate their strongest security controls exactly where they’re needed most, instead of spreading resources thin trying to lock down everything. This is often a more cost-effective path than bringing every device and system up to CMMC standards.

    A well-built CUI enclave typically includes:

    • Network Segmentation: Physically or logically isolating the enclave from the rest of the network, with tightly controlled access points and monitored traffic.
    • Enhanced Access Controls: Multi-factor authentication, privileged access management, and detailed logs of user activity.
    • Data Loss Prevention: Controls that prevent unauthorized copying, sending, or removal of CUI from the protected space.
    • Continuous Monitoring: Real-time monitoring with automated alerts to catch anomalies or policy violations.

    For small businesses without a large IT team, managed enclave providers like Cuick Trac, Redspin, and Coalfire offer turnkey setups. They handle the technical work of running a CMMC-compliant environment, allowing businesses to focus on core operations while meeting federal cybersecurity requirements.

    Practical Cybersecurity Solutions for Small Operations

    Small businesses constantly face the tension of needing enterprise-level security without enterprise-level budgets or staff. Fortunately, the controls CMMC requires align well with practical, affordable solutions that guard against common threats.

    Must-haves include:

    • Endpoint Protection: Modern antivirus and anti-malware using behavioral analysis and machine learning to catch threats that signature-based tools miss.
    • Network Security: Next-generation firewalls that inspect traffic at the application layer to catch sophisticated attacks.
    • Email Security: Filtering that catches phishing, malicious attachments, and business email compromise—the number one attack vector for small businesses.
    • Data Encryption: Encrypting data both in transit and at rest, so even if a system is breached, stolen data remains unreadable.
    • Multi-Factor Authentication: Requiring additional verification beyond passwords, which Microsoft research shows blocks 99.9% of automated account attacks.
    • Backup and Recovery: Regular, tested backups kept securely offline or in immutable cloud storage to provide a safety net against ransomware or system failures.

    Many of these are now available as cloud-based subscriptions priced for small business budgets. Security-as-a-service eliminates massive upfront costs, providing enterprise-grade protection and expertise on a manageable monthly plan. The key is not treating these as separate tools—CMMC compliance requires proving that security controls work together as a system, building genuine defense in depth.

    Building Your NIST Compliance Roadmap

    Getting to NIST 800-171 compliance and CMMC certification requires real planning. A structured checklist helps break the 110 requirements into manageable steps:

    1. Scope Definition: Map every system, network, and person that touches CUI. Most businesses are surprised by how large their CUI footprint turns out to be.
    2. Gap Analysis: Compare current security practices against NIST 800-171 honestly. Whatever you miss now will show up during a formal audit.
    3. Risk Assessment: Evaluate how likely each gap is to be exploited and the potential impact, so you can prioritize fixes based on real risk.
    4. Remediation Planning: Create a plan with specific actions, responsible parties, deadlines, and required resources to close each gap.
    5. Implementation: Do the work and document everything: changes, configurations, and new procedures. Documentation proves the work happened.
    6. Validation: Test controls to confirm they genuinely work as intended.
    7. Continuous Monitoring: Maintain an ongoing process to sustain compliance, catch new vulnerabilities, and adapt as threats change.

    Documentation trips up many businesses. CMMC assessments require actual evidence: system security plans, policies and procedures, configuration records, training logs, and audit trails. Companies often underestimate the paperwork involved and scramble before their assessment window. Don’t skip regular check-ins—quarterly reviews help catch small issues before they become real problems. Configurations drift, people leave, new systems appear, and paperwork gets outdated. Catching those changes early is far easier than dealing with a compliance failure after the fact.