Content Update Policy

AI security changes quickly. Models, APIs, agent frameworks, MCP implementations, security products, standards, vulnerabilities, and provider policies can change after an article is published.

Why we update content

We may update an article when a material product change, security advisory, standard revision, new attack technique, pricing change, feature removal, new feature, or stronger source makes the existing content incomplete or outdated.

Update priorities

Priority is generally given to content that could materially affect security decisions, implementation guidance, product selection, active vulnerabilities, or high-traffic technical guidance.

Historical context

Not every older statement becomes incorrect simply because a product changes. Where relevant, we may preserve historical context while clearly identifying the current behavior.

Verification

Readers should always verify current vendor documentation and current software behavior before deploying security-sensitive configurations in production.