Agent Operations
Agentic AI security research, mental models, and practitioner tools. Six published articles across the agent security lifecycle.
Understanding how agentic AI systems get attacked. Attack vectors, threat models, and emerging research.
What to implement. Guardrails, sandboxing, least privilege, and enforcement patterns for agent systems.
How to test. Red-teaming methodology, eval suites, and evidence-first auditing for agent systems.
Runtime security. Behavioral baselines, logging, and anomaly detection for agents in production.
For security leaders. Risk frameworks, compliance mapping, and governance patterns for agentic AI.
Secure patterns for people building agents. MCP design, auth, tool scoping — code-level guidance.
Deep Dives
Practitioner deep dives on agentic AI security. Practical analysis with sources, proposed controls and educational examples.