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Connect
Bring models, agents, vendors, and data pipelines into one governed inventory.
Now enrolling: Autonomous SOC in Action #2026
Now enrolling: Autonomous SOC in Action #2026
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Orchestrate continuous governance across models, agents, and vendors. Map policies to global frameworks, monitor risk in real time, and keep audit-ready evidence without slowing AI delivery.
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What you will Achieve
Connect systems, policies, and evidence so compliance, risk, legal, and engineering share one governance layer
Bring internal AI systems, third-party models, and embedded LLMs into a shared register with ownership and risk status.
Translate EU AI Act, NIST AI RMF, ISO 42001, and internal policies into operational controls with retained proof.
Autonomous oversight agents surface risk signals and recommend mitigation before issues escalate.
Retain decision trails, explanations, and evidence packs ready for internal review and external assurance.
Operating Model
A continuous GRC loop purpose-built for AI systems — not annual checklist theatre
Bring models, agents, vendors, and data pipelines into one governed inventory.
Apply policies and map EU AI Act, NIST RMF, and ISO 42001 controls.
The Governance Loop
Detect drift, bias, misuse, and policy gaps with runtime safety signals.
Retain decision trails and generate audit-ready evidence on demand.
Capability
Agentic oversight, regulatory orchestration, explainability, and vendor governance in one connected platform
Track model behaviour, detect drift, and surface risks with recommendations that fit existing workflows
Automatically map EU AI Act, NIST RMF, and ISO 42001 requirements to AI workflows
Deliver human-readable insights into model decisions for internal reviews and external audits
Monitor third-party models and LLMs for misuse, hallucinations, and policy violations
Keep evidence fresh year-round with secure sharing and auditor-ready artifacts
Assurance Stack
Give GRC, legal, and engineering a shared stack instead of disconnected tools and reviews
Turn regulatory and internal requirements into enforceable AI controls.
Map frameworks to workflowsCodify human oversight gatesKeep approvals with contextSurface drift, bias, and vendor risk before they become incidents.
Continuous model monitoringPrioritized remediation signalsExecutive-ready risk viewsRetain proof that stays fresh between audits and board reviews.
Decision and action trailsOn-demand assurance packsAuditor-ready evidence sharingFeatured Use Cases
From AI usage approvals to third-party LLM oversight — continuous governance at machine scale
Automate risk classification, approvals, and policy enforcement across teams
Surface bias, drift, and performance issues with real-time mitigation guidance
Automate compliance workflows for EU AI Act, NIST RMF, and ISO 42001
Generate audit-ready reporting directly from operational evidence
Monitor vendor models and external LLMs alongside internal systems so shadow AI, third-party APIs, and generative tools stay inside your governance boundary
Detect misuse and policy gaps early, then retain vendor review notes, risk scores, and approval evidence ready for procurement, security, and audit teams
From triage to compliance, MetaSecure AI delivers intelligent automation that lowers cost, increases speed, and strengthens security posture
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