Make governance enforceable before it reaches production.
Define enforceable intent, ownership, and risk thresholds across AI systems, agents, and cross-system interactions. Validate before deployment. Maintain as systems and risks evolve.
Across all agentic platforms and agent frameworks
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Why Governance Has To Change
AI systems don't sit still and agentic workflows act, invoke tools, and cross system boundaries autonomously. Governance must keep pace. Policies on paper don't enforce themselves, and intent not validated before deployment is intent you'll discover the hard way.
Most enterprises have policies. None of them can prove those policies, ownership, and risk thresholds survive contact with production.
How It Works
Enforceable intent
Policy authoring and rule definition. Geo-based and category-level restrictions. Risk thresholds tied to user identity, role, department, vendor posture, deployment region, and data classification.
Ownership and attribution
User attribution by name, role, department, and organization. Endpoint attribution. AI service lifecycle tracking. Risk records created and tracked through resolution.
Agentic and cross-system mapping
Agentic dependency mapping. Cross-system interaction mapping.
Pre-deployment validation
Red teaming and adversarial simulation. Responsible AI assessment. Dataset licensing validation. Bias and toxicity baselines before a model goes live.
Regulatory alignment
SOC 2 and GDPR validation. Compliance scoring engine. EU AI Act and NIST AI RMF evidence generated continuously.
What it delivers
For Governance & Risk Teams
Proof of enforcement. Longitudinal, tamper-evident, audit-ready.
For CAIOs and AI Leaders
Agentic innovation that scales without governance collapse. Boundaries the system understands and respects.
For CIOs
AI managed the way you manage the rest of your infrastructure.
/ LET’s COLLABORATE
See it in context
Singulr Runtime Governance™ is one of three runtime pillars in the Singulr platform, encircled by the Singulr Assurance™ Layer.
Governance that proves itself, at every deployment,
across every system, continuously.
across every system, continuously.
