Skip to main content
The OWASP Top 10 for LLM Applications has become the reference point for AI risk — the list boards ask about, auditors test against, and regulators cite. But naming a risk doesn’t stop it. Below, all ten meet the BeyondGuard control plane: what enforces each one, how it’s answered, and the outcome — allow, deny, mask, or rewrite — decided inline.

Decides, not advises

Every interaction resolves inline to allow, deny, mask, or rewrite — logged with a confidence score and reason code.

Independent of the model

Detection runs outside the LLM, so enforcement holds even when a model is jailbroken, replaced, or tricked.

Evidence on demand

Every verdict maps to OWASP, MITRE ATLAS, and NIST AI RMF — exportable when the auditor asks.

OWASP LLM Top 10 (2025) mapping

The Top 10 will change — new risks will enter, rankings will shift. The architecture underneath doesn’t have to. Every row above resolves through the same policy engine, the same four outcomes, and the same exportable evidence, which makes covering a new risk a policy update, not a re-platforming. That is what it means to answer OWASP at runtime.

Controls Catalog

The full BG-01 – BG-26 control set behind each row above.

The Six Guards

How BeyondGuard’s Guards map to the surfaces these risks target.

Compliance

Map these controls to EU AI Act and audit obligations.

Red Teaming

Test your deployment against these risks before you enforce.