📝 Security for AI Agents Blog
Insights on AI agent security, governance, and best practices
Why AI Agents Need Runtime Enforcement
Traditional access control assumes trusted actors. But AI agents can hallucinate, misinterpret context, or be manipulated via prompt injection. Learn why you need runtime enforcement to prevent unauthorized actions before they happen.
Why OAuth 2.1 Cannot Govern Autonomous Agents
OAuth is designed for user authorization, not agent action authorization. Discover the fundamental differences and why you need a dedicated agent governance layer for production AI systems.
The Problem with Hallucinated Tool Calls
LLMs sometimes generate tool calls that don't match your intent. From sending emails to the wrong recipient to deleting data instead of reading it, hallucinated tool calls are a real security risk.
The Missing Security Layer in AI Ecosystems
Most AI frameworks (LangChain, Autogen, OpenAI Assistants) lack fine-grained authorization. Explore the gap between AI capabilities and security requirements, and how ACT fills it.
How to Prevent Agents from Making Unsafe API Calls
A practical guide to implementing guardrails for AI agents. Learn how to define policies, enforce constraints, and prevent common attack vectors like data exfiltration and privilege escalation.
Capability-Based Security for LLMs
Traditional RBAC (Role-Based Access Control) doesn't work well for agents that need dynamic, context-aware permissions. Discover how capability-based security provides a better model for AI authorization.
Audit Logging for AI Compliance
Regulatory requirements demand complete audit trails. Learn what to log, how to structure audit events, and how to use logs for debugging, compliance, and security analysis.
Securing Multi-Agent Systems
When multiple AI agents collaborate, security becomes even more critical. Explore strategies for managing permissions in multi-agent environments, including delegation and trust boundaries.
Zero-Trust Architecture for Autonomous AI
Applying zero-trust principles to AI agents: never trust, always verify. Learn how to build a zero-trust architecture for your AI deployments with ACT.
The AI Agent Security Checklist
A comprehensive checklist for securing AI agents in production. From authentication to audit logging, make sure you've covered all the bases before deploying autonomous AI.