OWASP LLM Top 10 tooling.
MoorAI maps its AI-coding-agent detections to the frameworks your auditors ask about (OWASP LLM Top 10, MITRE ATLAS, and STRIDE) and reports coverage against NIST AI RMF, ISO 42001, and SOC 2 / ISO 27001, all from redacted, content-free telemetry. That gives “how do you govern AI use?” an evidenced answer.
Built around the frameworks
your auditors ask about.
Every threat in MoorAI's 85-threat detection matrix carries three tags (the OWASP LLM Top 10 category, a MITRE ATLAS technique, and a STRIDE class), so the same finding is legible to the LLM-security, adversarial-ML, and threat-modeling teams with no re-mapping.
Coverage you can export.
Because the mapping is built into the rule-base rather than bolted on, the console renders which OWASP LLM categories your policy covers and how, and exports it. It is a coverage and control-mapping view drawn from content-free telemetry: an input to an audit, not a certification.
Tags, certification, and SIEM export.
Is there tooling for the OWASP LLM Top 10?
Yes. MoorAI tags each of its AI-agent threat detections with the OWASP LLM Top 10 category it addresses, and the console renders coverage per category, so you can see which OWASP LLM risks your policy covers and how.
Does every detection carry a framework tag?
Yes — each threat is tagged with an OWASP LLM category, a MITRE ATLAS technique, and a STRIDE class.
Is this a SOC 2 / ISO certification?
No. MoorAI generates control-mapping and coverage reports that feed an audit program; it is not itself a certification.
Can I export to my SIEM?
Yes — content-free, framework-enriched events in NDJSON or CEF.
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Give your auditors
an evidenced answer.
OWASP LLM Top 10, MITRE ATLAS, STRIDE — mapped and exportable.