Tag: surveillance

  • Flock Safety Under Fire: US Cities Cancel Contracts Over Data Privacy Concerns

    Flock Safety Under Fire: US Cities Cancel Contracts Over Data Privacy Concerns

    Flock Safety, the US surveillance technology company, is facing mounting pressure as municipalities question its data practices, privacy safeguards, and law enforcement access. The latest blow came from Boston, where officials ended the company’s license plate reader pilot after discovering that a data-sharing setting had allowed external law enforcement agencies to access vehicle information.

    Boston Data-Sharing Issue Adds to Scrutiny

    According to Boston’s 2025 surveillance technology report, the city had contracted Flock to operate about 45 cameras. The system was supposed to prevent external agencies from accessing Boston data. Officials said a vendor error enabled nationwide access during the early part of the five-month trial. The Boston Police Department later recorded 11,004 searches during the pilot. An internal audit found that officers included a case number in only about half of those searches, prompting recommendations for tighter controls.

    Wave of Contract Cancellations

    Flock is also facing a growing wave of contract cancellations. Data compiled by Secure Justice showed that 214 US cities and counties had ended relationships with Flock since 2021, including 90 cancellations in August 2026 alone. The company’s technology captures license plates and other vehicle characteristics before adding the information to a searchable network. Law enforcement agencies say the system can help locate missing people, recover stolen vehicles, and support criminal investigations. However, critics have raised concerns about prolonged tracking and potential misuse.

    Company Introduces Safeguards

    Flock responded by changing its platform and introducing additional privacy controls. The company has said customers can apply restrictions to searches and has acknowledged concerns surrounding misuse. The pressure is also reaching inside the company. Reportedly, Flock recently offered employees a voluntary separation programme as it deals with rising public criticism, customer attrition, and increased operating pressure.

    The growing disputes over data access and accountability are forcing the company and its customers to reassess how its expanding camera network should operate.

  • AI-Driven Surveillance: How Artificial Intelligence Is Reshaping Crypto Security and Monitoring

    AI-Driven Surveillance: How Artificial Intelligence Is Reshaping Crypto Security and Monitoring

    Blockchain networks are transparent by design, but artificial intelligence (AI) is turning that transparency into a powerful surveillance tool. Instead of manually tracing wallet addresses, AI systems can now analyze millions of transactions, identify behavioral patterns, and flag suspicious activity in near real time. This is creating a new layer of oversight across the global cryptocurrency economy.

    Automated Blockchain Monitoring

    Every public blockchain transaction generates data: wallet addresses, values, timestamps, token movements, and smart contract interactions. Analytics firms combine this information with known exchange wallets, sanctioned addresses, hack incident records, and criminal clusters. Machine learning models then search for patterns that would be difficult for human analysts to detect manually.

    The scale of blockchain security incidents remains substantial. CertiK reported more than $1.31 billion in losses across 344 incidents during the first half of 2026. Wallet compromises caused approximately $444.5 million in losses, while phishing accounted for another $366.3 million. Automated monitoring is becoming essential to keep pace with such threats.

    Detecting Hidden Wallet Relationships

    Criminals rarely leave stolen funds in one address. They might split assets across hundreds of wallets, swap tokens, use bridges, and eventually move funds toward exchanges or other liquidity venues. AI can analyze transaction timing, recurring counterparties, and asset flow patterns to infer whether seemingly separate addresses belong to the same operation.

    This capability proved crucial after the Liquid Network exploit in September, when approximately 4,000 BTC (worth around $320 million) were initially withdrawn. Chainalysis tracked the incident as funds moved through the Bitcoin ecosystem, and about 85% of the funds were ultimately returned. Real-time monitoring can help exchanges identify suspicious deposits before criminals complete the laundering process.

    AI in Security Auditing

    Surveillance increasingly begins before money is stolen. CertiK launched an AI Auditor system in 2026 designed for protocol upgrade reviews, pre-deployment testing, and post-audit verification. In testing against 35 real-world Web3 security incidents from 2026, it reported an 88.6% cumulative exact hit rate. AI agents can scan smart contracts for unusual state changes or vulnerabilities and combine that with live blockchain behavior.

    The Privacy Trade-Off

    Greater monitoring creates tension between security and financial privacy. Blockchains originally attracted users partly because they could transact without exposing identities to every intermediary. However, once analytics companies combine wallet histories with exchange Know Your Customer data, pseudonymous addresses can sometimes be linked to real people. AI makes this process faster and more scalable.

    Final Thoughts

    Crypto surveillance is evolving from retrospective investigation into continuous risk detection. That could help exchanges freeze stolen assets, identify sanctions exposure, and stop attacks earlier. But it also means public blockchain activity may become increasingly traceable.

    The next debate will focus on balance: how far automated financial surveillance should go before security gains begin undermining the privacy that originally attracted many users to crypto.

    Frequently Asked Questions

    How is AI used in crypto surveillance?

    AI systems analyze blockchain transactions, wallet behavior, and fund movements to identify suspicious patterns. They can connect seemingly unrelated addresses based on timing, counterparties, and transaction flows.

    Can AI help detect crypto hacks faster?

    Yes. Real-time monitoring can flag unusual withdrawals, transfers, or smart contract activity shortly after an exploit begins, enabling faster responses.

    How is AI applied to smart contract security?

    AI auditing systems scan protocol code, upgrades, and transaction logic for vulnerabilities. CertiK’s AI Auditor reported an 88.6% cumulative exact hit rate across 35 real-world 2026 security incidents.

    Why does AI surveillance raise privacy concerns?

    Public blockchain addresses are pseudonymous, not fully anonymous. Combining wallet histories with Know Your Customer data and AI analysis can make it easier to link blockchain activity to real individuals.

    What is the future of AI-powered blockchain monitoring?

    Crypto security is moving toward continuous monitoring rather than relying only on post-incident investigations. The challenge lies in improving fraud detection without excessive surveillance or weakened user privacy.

    Disclaimer: This article is for informational purposes only and does not constitute investment advice. Cryptocurrencies are risky assets, and you should conduct your own research before making any investment decisions.