Tegrix is the enterprise AI control plane that discovers AI agents across cloud, SaaS, copilots, frameworks, and custom environments, then turns that visibility into governance, runtime controls, and audit-ready evidence.
Tegrix control plane
Managed agent with production access, write-capable tool action, assigned owner, and recent policy block.
Most enterprises cannot answer five basic questions.
AI agents are being created faster than governance programs can track them. Which AI agents exist? Who owns them? What data can they access? What actions can they take? How are they governed?
Tegrix turns unknown agent activity into governed decisions.
AI agents are being created faster than governance programs can track them. Tegrix helps teams create a trusted view of agents, ownership, risk, controls, and evidence.
Why Tegrix
Microsoft governs Microsoft. AWS governs AWS. Google governs Google. Enterprises operate across all of them.
Tegrix provides a vendor-neutral control plane that discovers, assesses, governs, and monitors AI agents across the entire enterprise ecosystem.
Enterprise outcomes
Tegrix turns AI agent visibility into business outcomes: inventory, risk reduction, action control, audit evidence, spend accountability, and executive confidence.
How Tegrix works
Tegrix keeps the homepage simple: connect what you already have, discover agents, assess exposure, govern actions, and monitor evidence continuously.
Learn how it worksConnect existing enterprise systems and telemetry. Start with read-only source evidence before introducing runtime controls.
Identify known and unknown AI agents across cloud, SaaS, copilots, frameworks, and custom environments.
Understand ownership, risk, sensitive access, action authority, cost, and business exposure.
Apply policies, approvals, and runtime controls before risky actions become incidents.
Track behavior, drift, spend, exceptions, and evidence continuously for audit and leadership review.
Enterprise ecosystem
Tegrix connects to the systems enterprises already use and creates a unified governance layer across them. Govern enterprise AI without locking governance to a single vendor ecosystem.
Who uses Tegrix
The same AI control plane gives each team the view they need: leadership posture, risk reduction, audit evidence, cost accountability, and operational control.
Leadership
Board-level visibility and governance readiness for AI agents moving into business workflows.
Risk reduction
Runtime risk reduction, policy enforcement, and visibility into risky agent behavior.
Evidence
Evidence, traceability, and regulatory readiness for agent governance reviews.
Cost control
Spend accountability, cost ownership, and review paths for uncontrolled AI usage.
Operations
Discovery, inventory, and operational control across agent platforms and custom environments.
Start read-only. Demonstrate value before introducing runtime controls.
Week 1
Connect sources
Week 2
Discover agents
Week 3
Prioritize risks
Week 4
Prove governance readiness
Read-only onboarding first, value before invasive production changes, and architecture details available when your team is ready.
Pilot outputs
The pilot is successful when the business can point to concrete evidence, accountable owners, and a clear expansion path.
Known and suspected agents with owners, sources, last seen activity, confidence, and business context.
Sensitive data access, write-capable tools, external calls, weak identity boundaries, and blast-radius evidence.
Approval candidates, exception owners, policy gaps, quarantine recommendations, and next-best actions.
Pilot summary for IT, security, audit, finance, and leadership with exportable source lineage.
Proof
Representative pilot outcomes based on enterprise governance objectives.
Why now
The first wave of AI delivered answers. The next wave executes work. Agents now access data, invoke tools, trigger workflows, spend money, and influence business outcomes.
That requires a new operating model and a new control plane. Tegrix is building the enterprise AI control plane.
The first wave answered questions
Generative AI started as assistance: summarizing, drafting, searching, and answering.
The next wave takes action
AI agents can call tools, trigger workflows, move data, and affect business outcomes.
Governance must evolve
Enterprises need runtime visibility, control, and evidence instead of policy documents alone.
Next step
Discover agents, assign ownership, understand risk, and build governance readiness from real enterprise evidence.