5 articles
A deep dive into production-grade sandbox runtimes for coding agents, covering filesystem boundaries, network allowlists, sensitive file isolation, approval escalation, container execution planes, audit trails, and a go-live checklist for secure LLM agent deployment.
This article explains how to transform LLM red teaming from a one-time security test into a continuous regression gate, covering attack suite versioning, automated scanning, risk grading, false positive review, canary releases, and pre-release checks to help teams catch security regressions during model and prompt updates.
A systematic guide to securing LLM Agent tool calls against Prompt Injection, Tool Poisoning, and privilege escalation. Covers trust boundaries, permission boundaries, and execution boundaries with practical implementations including policy gates, human approval, sandboxing, and full-stack monitoring.
A systematic breakdown of MCP tool poisoning and indirect prompt injection risks, covering a five-layer defense architecture from tool registration, least privilege, parameter auditing, content isolation to runtime interception, with a go-live checklist for teams integrating external APIs, databases, and enterprise systems.
MCP standardizes LLM-tool connections but amplifies risks in permissions, identity, audit, and prompt injection. This post presents a practical security governance framework covering protocol boundaries, authorization models, execution isolation, and deployment checks.