AI governance myths vs facts
Seven common AI governance myths checked against the NIST AI RMF and federal guidance: certification, bans, checklists, one-time reviews and more.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Seven common AI governance myths checked against the NIST AI RMF and federal guidance: certification, bans, checklists, one-time reviews and more.
A 30-day plan for a small company starting AI governance: inventory, policy, owners, tiers, vendor checks and a first review, without a big program.
Buyers increasingly ask how much code comes from AI assistants and how it is reviewed. Questions to expect and a policy that gives a straight answer.
Evals measure behaviour on fixed test sets and repeat cheaply. Red teaming hunts for new failures with an adversary mindset. Why you need both.
AI can speed up security questionnaires, but wrong answers become commitments. Rules for source material, human review and what never to auto send.
Persistent memory lets an injected instruction outlive one chat. What ATLAS says about memory and thread poisoning, and the four hardening controls.
Model output can carry XSS, SQL and shell payloads into your backend. OWASP's zero-trust advice: validate, encode and parameterize before anything runs.
When an AI agent acts for a user, should it impersonate them or act as a delegate? RFC 8693 defines both and the actor claim that records who did what.
A field list for agent tool call audit logs, drawn from MCP guidance on logging, delegation and elevation, so incidents can be reconstructed afterward.
Weekly insights on software supply chain security, delivered to your inbox.
Your first fix PR is minutes away.
No sales call required, even your agent can complete the purchase over MCP.