Startup unveils real‑time safeguard for autonomous agents.

Capsule Security introduced an AI “circuit breaker” designed to stop autonomous agents from executing harmful actions by evaluating intent milliseconds before execution. The system uses specialized models trained on real agent traces and adversarial examples, achieving higher detection accuracy and faster decisions than general‑purpose models. Capsule reduced model size to keep latency low, allowing the evaluator to run directly in an agent’s workflow. The firm reports strong performance on independent benchmarks and argues that small, specialized models are essential for safely scaling agentic systems.

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https://www.securityweek.com/capsule-security-launches-ai-circuit-breaker-to-stop-rogue-agents/