Security thinking for applications, infrastructure, and AI systems.

Insights on attack paths, rollout questions, and risk trade-offs in products and AI systems.

Testing, AI security, and risk.

How retrieval, connectors, tool access, approvals, and audit evidence shape a serious AI review.

Why valuable app findings sit between the browser, API, mobile flows, identity, and workflow logic.

Approvals, permissions, oversight, and rollback paths when AI starts touching live operational work.

From reading to action

Describe the system, timing, and decision.