Zero
The agent estate, governed.
See every AI agent. Sanctioned or not. Govern what they do.
The problem
Agents are multiplying faster than anyone can track. Most of them, no one approved.
Every team is wiring up copilots and automations on their own. They touch data, call tools, and act with standing access, with no inventory, no owner, and no record. Shadow AI isn't coming; it's already running inside your perimeter.
The Agent Graph
A live map of every agent, every dimension, every signal.
Eleven dimensions per agent: owner, identity, runtime, model, prompt, tools, MCP, plugins, permissions, data, browser. Continuously discovered and mapped. A graph you can query and act on, not a spreadsheet.
Eight dimensions drawn here for a clean radial read; the full estate carries all eleven.
Sanctioned and shadow, one layer
Two halves of the agent estate. One control plane over both.
Inventory tools
- See only the agents IT registered
- Shadow agents stay invisible until something breaks
- Coverage stops at the org chart
- Inventory is a spreadsheet, refreshed quarterly
- Risk is what the registry says, not what is running
Zero
- Every agent, registered or running off a laptop
- Shadow AI surfaced the moment it makes a call
- One policy layer over sanctioned and shadow alike
- Inventory is a live graph, updated on every action
- Risk is computed from what agents actually do
Workflows
An operating system for agent governance.
Discover
Every agent, sanctioned or running off a laptop.
Map
Identity, model, tools, data. The full agent graph.
Govern
Policy per agent, owner, and blast radius.
Enforce
At runtime, on every action, in real time.
Frequently asked
Questions, answered
What exactly does Zero govern, and what does 'agent estate' mean?
We don't know how many AI agents are actually running in our org. Is that a common problem?
How is agent governance different from regular identity and access management?
What are the four governance workflows Zero runs?
How does Zero handle agents from third-party tools like Cursor or Copilot?
What compliance frameworks does agent governance help us satisfy?
Get started
See encrypted AI security in action.
FHE-native inference. Runtime agent guardrails. Continuous red teaming. One platform. Book a working session with the team.
Six layers. One agent estate.
Every Mirror product is one layer of the same surface. Adopt one, or stack them.
VectaX
AI Data Security
Encrypt context, prompts, embeddings, and inference output end-to-end. AI keeps working on data that's mathematically guaranteed to stay private.
DiscoveR
Vulnerability Scanning
Hunt prompt injection, model leaks, and AI-specific zero-days as they emerge across every model, agent, and integration in your stack.
AgentIQ
AI Agent Security
Watch every action, tool call, and decision from your agents. Anomaly alerts, automated response, and a full audit trail built for compliance.
Zero
AI Governance
The agent estate, governed. Discovers every AI agent (sanctioned or shadow) and runs the four governance workflows.
Gateway
AI Gateway
Inspect, authenticate, and throttle traffic before it reaches your models. Prompt firewall, edge auth, and policy enforcement with an audit trail at the door.
CodePrism
AI Coding
Coding on encrypted code. Coding assistance, indexing, review, and security scans, all on ciphertext.