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New · Elimity for Agentic AI Governance

Govern your AI agents like the privileged workforce they already are.

AI agents are accumulating tokens, API keys, and access to critical systems faster than anyone can review. Elimity gives you one place to discover them, score their risk, and enforce least privilege — across humans, services, and agents alike.

AI
finance-copilot-agent
openai · created 14d ago
High risk
47
Permissions
9
Systems
3
Owners
Effective access
read · snowflake.finance
read · sharepoint.invoices
write · sap.payments
delete · s3://exports/*
⚠ Toxic combination — agent can read invoices and create payments without human approval.
Why it matters

Your non-human identities already outnumber your humans.

Every Copilot, every MCP server, every internal agent gets credentials, scopes, and a way into your data. Most are created outside IAM — and never reviewed.

45×
More machine identities than humans in the average enterprise — and AI agents are accelerating the gap.
82%
Of organizations can't list every AI agent operating against their data today.
0
The number of access reviews most AI agents have ever been part of. Until now.
What Elimity does

Everything you do for humans — now for agents.

Discovery, risk scoring, least privilege, and audit trail — applied to the new privileged workforce.

Built for the stack you already run
  • ChatGPTOpenAI
  • ClaudeAnthropic
  • CopilotMicrosoft · via Entra ID
  • MCP serverstool · resource access
01

Complete agent discovery

Inventory every AI agent, copilot, and service identity across OpenAI, Azure AI, Anthropic, MCP servers, and home-grown integrations — with their owners and what they can touch.

02

Permission intelligence

See an agent'seffectiveaccess — flattened across tokens, scopes, OAuth grants, and downstream system roles. No more guessing what a key really lets it do.

03

Least-privilege guardrails

Define what an agentshouldbe able to do, then alert and revoke when scope drifts beyond it. Catch toxic combinations likeread PII + write external.

04

Reviews & lifecycle

Pull AI agents into the same access reviews as humans. Auto-expire stale tokens, decommission abandoned agents, and prove every decision to your auditor.

05

One graph, humans + agents

Agents inherit access from the humans, services, and groups behind them. Elimity surfaces the entire chain so you can answer:who is really acting?

06

MCP & tool-use ready

Track which agents speak which Model Context Protocol servers, and what those servers expose. New attack surface, fully governed.

The agent lifecycle

From first key to final revoke.

Govern AI agents the same way mature IAM teams already govern humans — only faster, because agents move faster too.

01

Discover

Detect every new agent, key, and integration the moment it appears.

02

Score

Rank by blast radius: data sensitivity × actions × autonomy.

03

Constrain

Enforce least privilege, owner approvals, and toxic-combo bans.

04

Retire

Auto-expire, recertify, or revoke — with full audit evidence.

Trust across every layer

Models, infra, apps —one identity graph.

Whether your agent talks to OpenAI, a vector DB, a SaaS API, or an internal tool over MCP — Elimity sees it as a single chain of access. Cut a permission once and the whole chain updates.

  • Native connectors for OpenAI, Azure AI, Microsoft Copilot, Anthropic.
  • Vector store visibility (Postgres + pgvector, Pinecone, Weaviate).
  • MCP server registry: which agents call what, with which scopes.
  • Drop-in policies: "no agent inDomain Admins", "no agent with PII + outbound network".
◇ UI mockup
ModelsAgentInfra · Data
OpenAIgpt-4oAzure AIembeddingsMCP serverjira-toolsAI AGENTfinance-copilotpgvectorknowledge baseJira APIread · commentSnowflakePII · sensitive
model callgranted scopetool · MCPtoxic combination

Get ahead of your AI agent sprawl.

In a 30-minute call we'll inventory the agents already running in your environment, score the risky ones, and show you exactly what governance would look like.