Threat research and AI governance insights
Detection engineering, threat investigation, AI security, and AI governance. Written for security and platform teams.
The Shadow AI Playbook: Detect, Govern and Mature Enterprise AI Use
A practical playbook for security teams: why shadow AI spreads, the risks, how to detect it, and how to govern it with a maturity model and checklist.
AI Security & Governance for Universities
A practical guide to AI security and governance for universities: FERPA, export-controlled research, student data risks, approved-model routing, and a governed rollout.
Enterprise AI Security Best Practices
A practitioner's guide to enterprise AI security: govern prompts, files, and retrieval; classify sensitive data; route to approved models; and keep a tamper-evident audit.
AI DLP Guide: Architecture, Best Practices and Buyer Checklist
How AI DLP works in practice: architecture, core components, compliance, implementation best practices and a buyer checklist for security teams.
Enterprise AI Governance Explained: The Definitive Guide for Security and Risk Leaders
How security and risk leaders set the rules for enterprise AI use, enforce them consistently, and prove to auditors and regulators that they work.
What Is AI Governance? A Plain-Language Guide for Business and Tech Leaders
A plain-language guide to AI governance: the policies, controls and accountability that decide how your organization builds, deploys and monitors AI.