Agent Identity and RBAC
Register every AI agent as a first-class principal with credential lifecycle controls, least-privilege access, and separation of duties.
Enterprise AI Governance
Control agentic AI with identity, policy, and audit-grade evidence.
Govern autonomous AI agents with verifiable identity, policy controls, immutable audit trails, and identity-aware retrieval.
Immutable audit and lineage architecture
Human-in-the-loop governance workflows
Core Capabilities
Built for risk-aware AI execution
Identity-Aware RAG
Filter retrieval by agent identity, environment, data classification, and entity permissions before model inference begins.
Immutable Audit and Explainability
Record complete decision context, model version, trace links, confidence scores, and human-readable explanations for auditors.
Data Lineage and Provenance
Track source-to-decision chain of custody across dataset, document, chunk, policy, model, and agent interactions.
Anomaly Detection and Alerting
Detect credential probing, cross-domain leakage risk, confidence drift, and missing approval workflows with configurable severity.
Workflow-Based Governance
Enforce human review for policy changes, prompt promotions, entity merges, and high-risk model or data transitions.
Who Needs This
Purpose-built for executive and governance stakeholders
CEO
Scale AI programs with governance guardrails that reduce brand, legal, and operational risk while preserving speed.
CTO
Standardize control planes for multi-agent systems with APIs, lifecycle controls, and deployment patterns across cloud or self-hosted stacks.
Chief Data Officer
Maintain trusted data foundations through entity resolution, lineage visibility, and policy-aware retrieval for production AI.
Compliance and Auditors
Access evidence-grade records with immutable event history, chain-of-custody context, and explainability artifacts for investigations.
Deployment and Operations
Fits enterprise architecture without forcing data off-prem
Deploy as a self-hosted control plane with PostgreSQL as primary state and optional graph storage for high-scale entity resolution and lineage workloads.
- Self-hosted and cloud-compatible reference architectures
- One-schema-per-tenant isolation model
- OpenTelemetry, Prometheus, health probes, and webhook integrations
- Role-aware APIs for identity, policy, RAG, audit, lineage, and workflows
Typical Adoption Path
- Pilot: register agents, secure one high-value use case, baseline audit evidence.
- Expansion: activate lineage, anomaly monitoring, and approval workflows across teams.
- Scale: standardize policy packs and executive reporting across environments.
Turn AI strategy into governed execution.
Move from proof-of-concept to production with controls your board, regulators, and engineering teams can all trust.
Explore core capabilities