Capabilities
7one platform
An index, not a pitch — the product page is Governance AI. Seven capabilities, listed in the order a request meets them: inspected, enforced, constrained, recorded — then tested, measured, and reported against the frameworks your auditors use. Each has its own page.
Synchronous, in-path inspection of every prompt, response, and tool-call. 11 ML guard detectors plus keyword, regex, and LLM-judge criteria — evaluated before the call completes, not after.
Policy Sets group Criteria and bind them to AI Agents with an action — block, flag, or allow — and an optional route to the Review Queue. Versioned, with a draft → pending → active lifecycle.
Declare which models, providers, and tools an agent may reach. Calls outside the list are blocked or flagged, with the attempt recorded against the agent that made it.
An append-only, timestamped record of every prompt, response, tool-call, policy decision, and human review action. Stream it to your SIEM or export it for an auditor.
Benchmark and red-team registered agents against the Project Moonshot catalogue from AI Verify Foundation — safety, bias, jailbreak resistance, privacy leakage, and capability, graded per recipe.
A nightly job samples the previous day’s traces and scores them against six LLM judge criteria — toxicity, demographic bias, sentiment consistency, fairness, misinformation, and privacy leakage.
Coverage against NIST AI RMF, ISO/IEC 42001, the OWASP LLM Top 10, Malaysia’s AISCF, and Singapore’s MGF for GenAI — computed from your own activity, with the evidence behind each category.
All seven, working as one product: a live dashboard, a violations pipeline with human review, a registry of every AI Use Case and Agent, and the evidence trail underneath it.