What did the agent do? That’s a solved problem. Why did it do it? That’s not. Getting this right determines whether anyone trusts it with work that matters.
Static analysis for LLM agents that flags prompt-injection risks—like confused deputy flows and dynamic prompts—before runtime, improving security and auditability.
Use Kong as an API gateway to centralize JWT auth, rate limiting, and access control across all microservices, keeping individual services focused on business logic.
AI agents have access, move at machine speed, and raise no alarms. Your DLP was built for humans — by the time it flags risk, the data is already gone.
Behavior is the signal, correlation is the proof. Adaptive baselines plus time-windowed cross-plane correlation are limited by log quality, not model sophistication.
Design a stateless JWT auth service with Spring Boot 3, Redis caching, and Sentinel for high availability, faster token validation, and reduced DB load.
Transitioning AI agents from POC to production requires moving beyond permissive access to a zero-trust architecture. This covers the essential security layers.
Learn why overprivileged tokens are a platform design failure, not a security bug, and how runtime enforcement, granular scoping, and safe migration fix them.
This article is a five-step SOC guide aligning security operations with RBI expectations, covering governance, risk mapping, tech selection, and performance measurement.
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