RAG Access Revocation: The Hidden Gap Between Source Permissions and AI Answers
Permission changes do not instantly propagate through RAG connectors, indexes and caches. Learn how to measure access revocation and test AI search security.
AI Agent Audit Trails: Reconstructing Decisions, Tool Calls, and Approvals
An AI agent audit trail is useful only if it [...]
The Retrieved Document Is Not a Command: Prompt-Injection Controls for Enterprise AI
A practical design for keeping retrieved documents and tool results from becoming unauthorized instructions or actions in enterprise AI systems.
Agent Fleet Infrastructure: How to Buy Density Without Losing Isolation
Running a thousand AI agents is not the same infrastructure [...]
Agentic Autofix ROI: How to Measure Fix Quality, Review Work, and Regressions
Agentic security remediation should be judged by verified risk reduction [...]
Buying AI Security Agents: A Third-Party Risk and Control Framework
Buying an AI security agent is not the same as [...]
Frontier Deployed Engineer: Skills, Career Path, and Enterprise Reality
What the frontier deployed engineer role really involves, how it differs from software engineering and consulting, and a practical skills and portfolio roadmap.
How to Evaluate Enterprise AI Agents Before Giving Them Autonomy
A practical enterprise AI agent evaluation framework covering business outcomes, prohibited actions, multi-step tests, repeated trials, approvals, pilot gates and continuous assurance.
Enterprise AI Agents in Production: A Reliable Runtime Architecture
A reference architecture for production AI agents: durable state, transaction safety, scoped tool execution, approvals, observability, recovery, and operating metrics.
Zero Data Retention in Enterprise AI: What Contracts Miss
Zero data retention does not answer every enterprise privacy question. Compare storage custody, monitoring, logs, connector access, deletion and contractual safeguards before buying.