Discovery Plane
Discover AI across repositories, dependencies, pipelines, undeclared projects, and model-connected applications.
AI Agile Governance Control Plane
Discover, govern, and control enterprise AI systems
The product is built around the three planes that matter in enterprise AI: discovery, governance, and runtime control. Together they turn fragmented AI activity into governed operations.
Product model
The product is structured around the three planes
Governance Plane
Define policy intent, map controls, align frameworks, score risk, and materialize governance workflows with evidence.
Runtime Control Plane
Evaluate prompts, outputs, and tool calls in execution time with allow, modify, and block decisions plus observable telemetry.
Capabilities
Platform capabilities designed for enterprise AI control
AI Inventory
Live materialization of AI assets across repositories, dependencies, pipelines, models, prompts, datasets, and applications.
Shadow AI Discovery
Continuous detection of undeclared AI projects, model libraries, pipeline evidence, and ungoverned experimentation.
Policy Center
Operationalize governance intent with policies, control mappings, evidence, exceptions, and framework alignment.
Runtime Guardrails
Evaluate prompts, outputs, and tool calls with allow, modify, and block logic backed by telemetry.
Telemetry and Evidence
Collect runtime decisions, governance evidence, and control outcomes in a single operational record.
Red Team
Stress AI applications for prompt injection, data exfiltration, tool abuse, and bypass attempts that feed posture improvements.
Product proof
Evidence of a real operational platform
Screens are used as proof of a live control layer spanning inventory, policy, runtime, and evidence.
Inventory and graph materialization
Graph-native visibility across AI assets, dependencies, and attack paths.
Shadow AI detection
Discovery of AI-related exposure in repositories, toolchains, and undeclared projects.
Policy orchestration
Policies, frameworks, detections, and exceptions linked in one operational control layer.
Runtime guardrails
Guardrail design and runtime evaluation over prompts, outputs, and tool calls.
Next step
See the product in context
The demo is best when grounded in your repositories, your AI applications, and your governance operating model.