Ask a security leader how many laptops are on the network and they'll give you a number. Ask how many AI agents are running in production and you'll get a shrug. That gap is the single biggest source of AI risk in the enterprise today — and it's exactly what the AI Agent Directory closes.
The problem: an invisible, fast-growing workforce
AI agents are trivially easy to create and they multiply quietly. Finance has one reconciling invoices. Support runs a triage bot. An engineer spun up a coding agent that can read your repos and hit production APIs. Each was a reasonable decision in isolation. Together they form a non-human workforce that no one has a list of, no one owns on paper, and no access review has ever touched.
This is Shadow AI. And unlike a forgotten SaaS subscription, a shadow agent can act — move money, change records, exfiltrate data — at machine speed.
Why it matters to the enterprise
The directory is the prerequisite for everything else. You cannot apply a policy, run a risk review, answer an auditor, or contain an incident for an agent you don't know exists. When your board asks "what's our AI exposure?", the directory is the answer — and the difference between a confident number and a nervous guess.
If it isn't in the directory, it's a liability. If it is, it's a managed asset.
How AuthSpoke does it
AuthSpoke gives every agent a record the moment it's registered or discovered — no SDK rewrite required:
- Ownership & context — owner, business unit, environment (dev / staging / prod) and lifecycle state, so every agent has a human accountable for it.
- What it is — the model and provider it runs on, its auth method, and the systems and MCP servers it connects to.
- What it can do — capability flags (production access, sensitive-data access, internet, external tools, can-it-spawn-other-agents) that feed an automatic risk score and trust score.
- An event trail — every registration, change and action recorded for the timeline and audit.
An agent with production access, sensitive-data reach and external tools doesn't just feel risky — it gets a number. Sort the directory by risk and you instantly know which five agents deserve attention first.
What you get
- A single system of record for all AI agents
- An accountable owner for every agent
- Automatic risk & trust scoring
- Connected systems & MCP at a glance
- Board- and audit-ready inventory
- The foundation for identity, policy & audit
See every AI agent in your enterprise
Stand up the directory and register your first governed agent in minutes — then layer identity, policy and audit on top.