Policy that executes
AI governance belongs in the request path.
Policies that live only in documents cannot control production traffic. Layer8 Adaptive evaluates identity, scope, tenant, model, data, cost, validation, and approval rules as part of execution—and records the evidence behind the outcome.
Move governance from guidance to enforcement
Layer8 places authorization and policy before provider routing. Disallowed models, scopes, regions, or workloads are rejected before secrets or data reach an external service.
Policy decisions are versioned so a later reviewer can determine which rules governed a request at that moment—not merely which rules exist today.
Reconstruct the decision, not just the prompt
Useful provenance includes request identity, tenant, policy, provider, model, validation results, repair reasons, approval actions, timestamps, integrity metadata, and artifact references. Sensitive prompt logging remains separately controlled.
- Structured request and workflow records
- Versioned policy and module references
- Reason-coded validation and repair
- Exportable evidence bundles
Make truthful security and compliance claims
Layer8 provides technical controls that can support a compliance program. It does not turn an organization compliant by itself. Public claims should identify implemented controls and independently verified certifications separately.
Frequently asked questions
What is AI governance?
AI governance is the set of policies, controls, responsibilities, evidence, and review processes used to manage how AI systems are selected, operated, monitored, and changed.
Does Layer8 log prompts by default?
The architecture keeps prompt logging separately configurable because prompts can contain sensitive data. Operational metadata and provenance can be recorded without indiscriminately storing prompt content.