Practical guidance on securing AI agents, tools, and the systems they act on, written by the team building the trust layer for AI agents.
Adversarial testing for AI applications needs deliberate scope, technique variety, and consequence measurement, not just a handful of well-known attack attempts.
Integration testing for AI tool permissions confirms the full authorization path holds end to end, including cases where the model requests something it should not.
Unit testing AI security controls means testing the deterministic code around a model, authorization checks and limits, not the model's own variable behavior.
Testing an AI application before release needs functional, conventional security, and AI-specific adversarial layers combined, since each catches different failures.
A secure design review for an AI application needs specific questions about content trust, tool authority, and failure behavior added to the existing review structure.
Threat modeling before connecting an LLM to an existing system means mapping what new content and action paths that connection opens, before the integration ships.
Security requirements for an AI feature need to be specific and checkable, covering data reach, action authority, and failure behavior, defined before implementation.
A secure AI development lifecycle extends existing secure software development practices with AI-specific checkpoints at design, testing, and release.
A consolidated AI governance readiness checklist covering accountability, inventory, policy enforcement, evidence, and incident handling for a systematic review.
AI incident reporting needs specific triggers and escalation paths, since a conventional security incident process often does not clearly capture AI-specific failures.
Auditing AI system activity means sampling actual production behavior against policy, not just confirming logging exists, since existence is not the same as compliance.
Governing third-party AI assistants needs explicit scoping of what access they receive and ongoing monitoring, since vendor trust does not substitute for either.
