You cannot govern what you cannot see. Unseen AI is an unmanaged risk: exposed data, broken controls, and liability nobody signed off on. Agntz reads, analyzes, and shows you every AI capability your teams built, so approval stops being a bottleneck.
This is what happens in the two minutes after you connect a single repository.
Initializing governance pipeline...
Before you connect a repo, estimate what those numbers look like across your whole codebase.
Estimate Your ExposureYour SCA tool sees a dependency. Agntz sees the model inside it, the tools it binds, and everything it can reach.
Find the agents nobody registered, in repos nobody flagged. Shadow AI averages two components per repository, and neither one is on your inventory.
Every tool the agent binds, every permission it holds, every place it can send your data. This is the blast radius, mapped before anything runs.
Five vendors per repo reached through transitive dependencies. Your SCA tool sees the package. It does not see the model inside it.
CVEs matched across the full chain and mapped to MITRE ATLAS, so findings arrive in language your SOC already reads.
Every model, framework, plugin and MCP server your agents depend on. The inventory your auditor asks for and nobody currently has.
Findings tied to specific controls in ISO 42001, NIST AI RMF, ISO 27001, SOC 2, CMMC and HIPAA. Naming frameworks is easy. Naming controls is the evidence.
Model risk under SR 11-7. Controlled data under ITAR. ePHI paths under HIPAA. Your agents inherit obligations you already carry.
Every finding carries the file, the line, and the call path that produced it. Export it and hand it over without translating anything.
Connect a repo and scan. No install, no SDK, no code changes, no architecture review, no ticket.
Re-scanned as the code changes, so your evidence is a diff instead of a snapshot and drift is something you see rather than discover.
10,000+ open-source agent repositories already scanned and classified. Start from something that arrives with its evidence attached.
Scan your first repository free. No card, no call. Security answers in minutes instead of next sprint.
The scan already worked out how far every capability can reach. The recorder logs what the agent actually does and measures each event against that blast radius. An anomaly is not something new. It is something that reached further than it should have.
Policy Enforcement follows, turning the reach you have already mapped into guardrails per agent.
payments-agent
Agent activity
Run Shell
Filesystem
.env Files
AWS Keys
Every agent your teams want to bring in, read line by line before it reaches your codebase.
Paste a public repository URL. Nothing to install, no access to grant, no ticket to open.
10,000+ open-source agent repositories already scanned and classified, from first-tier to fifth-generation.
Tool bindings, permissions, data paths, MCP connections and autonomy loops, resolved into a capability map.
Every capability scored for reach. What it touches, what it can compromise, what that costs the business.
AIBOM, CVEs, MITRE ATLAS coverage, and control references across ISO 42001, NIST AI RMF, CMMC and HIPAA.
Approve it, restrict it, or walk away. With the reasoning on record either way.
Paste a public repository URL. Nothing to install, no access to grant, no ticket to open.
10,000+ open-source agent repositories already scanned and classified, from first-tier to fifth-generation.
Tool bindings, permissions, data paths, MCP connections and autonomy loops, resolved into a capability map.
Every capability scored for reach. What it touches, what it can compromise, what that costs the business.
AIBOM, CVEs, MITRE ATLAS coverage, and control references across ISO 42001, NIST AI RMF, CMMC and HIPAA.
Approve it, restrict it, or walk away. With the reasoning on record either way.
Every data source, every API, every credential. Mapped by capability, scored for reach, cross-checked against MITRE ATLAS.
An agent that touches patient records lands on your HIPAA inventory. One that shapes a credit decision is a model under SR 11-7. One that reads controlled technical data and calls an external model is an export. Nothing changed about the rules. What changed is that nobody read the code.
Free report. No signup. ~60 seconds.
Network Access
Outbound HTTP
Candidate Records
Personal Data
Full visibility in minutes. No install. No card. No access to grant.