Sweet Security, a leader in proactive runtime enforcement for cloud and AI environments, has announced the expansion of its platform with Agentic AI Blocking capabilities. The new feature detects and stops rogue AI agent behavior in real time, preventing damage before it occurs in live production systems.
As 80% of global businesses now operate as AI enterprises, their autonomous agents take on identities, access sensitive data, and act independently. However, traditional security tools only detect and alert after the fact, leaving organizations vulnerable to harmful actions.
“AI has collapsed the cost of attack, and it has put autonomous software inside the enterprise. Someone has to decide, in the moment, what an agent is allowed to do,” said Dror Kashti, CEO and co-founder of Sweet Security. “When an agent reaches for data it shouldn’t touch, Sweet stops the action red-handed and provides the team one line: here is what we found, and here is how we stopped it. Nothing bad happened, and nothing is waiting in a queue. That is what lets an enterprise adopt AI with confidence.”
Key capabilities of Sweet’s Agentic AI Blocking include:
- Termination of unauthorized tool calls and sessions at runtime
- Prevention of secrets, PII, and sensitive data from leaving through an agent
- Live blocking of prompt injections before they steer an agent off course
The platform’s effectiveness is powered by the Sweet Learning Loop, which continuously Attacks, Fixes, and Defends using a runtime reasoning layer that analyzes over one billion runtime events daily. This allows Sweet to enforce a simple rule: “do exactly what your creator intended and nothing more,” without breaking live production.
Industry analysts increasingly view runtime inspection and enforcement as mandatory for securing AI agents, with the expectation that winning products will automatically prevent risky behavior rather than generating more dashboards and alerts. Sweet enforces this across cloud and AI in a single platform.
Sweet already operates at extreme scale, including at Zoomd, where the platform protects tens of thousands of cloud applications. “Sweet gave us the confidence to adopt AI across the business,” said Niv Sharoni, CTO at Zoomd. “With most tools, you find out about bad behavior in a report after the damage is done. With Sweet, it’s blocked in runtime, the moment it happens. That’s the difference between monitoring risk and actually removing it.”
Sweet’s autonomous protection will be demonstrated live at Black Hat USA 2026, Booth 5721. More information is available at https://hi.sweet.security/black-hat-2026.
About Sweet Security
Sweet Security delivers proactive runtime enforcement for cloud and AI. While the rest of the industry detects and alerts, Sweet blocks bad behavior before anything bad happens, where intent turns into action: in runtime. Through the Sweet Learning Loop, organizations continuously Attack, Fix, and Defend, driving every application and AI agent toward maximal immunity. Founded in 2023 by veterans of the IDF’s most elite cyber units and backed by $120M from Evolution Equity Partners, Munich Re Ventures, Glilot Capital Partners, and Key1 Capital, Sweet protects the world’s most demanding enterprises. Learn more at www.sweet.security.
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