Insights
A repeatable prompt injection testing framework — threat model, attack corpus, harness design, scoring and release gates — for teams shipping LLM and RAG applications in regulated environments.
A practical comparison of the LLM security frameworks enterprises are actually assessed against — OWASP LLM Top 10, NIST AI RMF, ISO/IEC 42001, MITRE ATLAS — and how to turn them into one evaluation program.
A reference architecture for enterprise LLM and RAG systems — trust boundaries, identity for agents, retrieval-layer authorization, tool mediation and the evaluation loop that keeps it honest.
How global enterprises are rearchitecting their cyber programs around AI workloads, model integrity, and secure data lifecycles.
Zero Trust principles applied to autonomous agents, copilots, and machine identities operating at machine speed.
A reference architecture for hardening M365 with Entra ID, Defender XDR, Purview, and Conditional Access in regulated industries.
Building an AI governance program that satisfies regulators, accelerates business adoption, and reduces real cyber risk.
Why identity is the new perimeter — and how to design an identity fabric that scales across humans, devices, workloads, and AI agents.
Designing CNAPP, DevSecOps, and resilience patterns that survive real incidents — not just compliance audits.