Practical guidance on securing AI agents, tools, and the systems they act on, written by the team building the trust layer for AI agents.
A written AI policy describes intent; enforcement makes that intent operate in the running system, and an organization needs both to actually manage risk.
Classifying AI use cases by risk should weigh action capability, data sensitivity, and reach, since these three factors predict worst-case impact better than novelty.
An AI inventory needs to be built through direct outreach to engineering teams, not documentation alone, and maintained as a living process rather than a one-time list.
The EU AI Act's risk-tiered obligations translate into concrete security and documentation work for high-risk systems, worth reviewing with counsel before scoping.
The OWASP Top 10 for LLM Applications gives teams a shared vocabulary for recurring risks like prompt injection and excessive agency, useful for review, not a checklist alone.
The NIST AI RMF organizes AI risk work into govern, map, measure, and manage functions, giving teams a shared structure without prescribing specific tools or controls.
AI risk management works as a repeating cycle of identifying, assessing, treating, and monitoring risk, not a one-time assessment filed away after launch.
AI governance decides what rules apply and who is accountable; AI security implements the controls that make those rules real, and neither substitutes for the other.
AI governance decides who is accountable for an AI system's risk, what rules apply, and how the organization proves those rules are actually followed.
A consolidated RAG security checklist covering access control, ingestion, vector database hardening, multi-tenant isolation, and privacy, for a systematic review.
Threat modeling a RAG system means mapping every source feeding retrieval, tracing access control through the pipeline, and assuming any retrieved content is untrusted.
Data subject requests against AI systems have to reach prompts, logs, embeddings, and fine-tuning data, not just the primary database, or the response is incomplete.
