AI agents got the power to act. We give it back to you.
AgentGateX exists because the fastest-growing identity in the enterprise has no owner, no scope, and no gate. We’re building the access control layer for AI agents — before the first headline, not after.
The shift
A new kind of insider, deployed by the thousands
For a decade, security was built around two actors: humans and services. Then AI agents arrived — and they’re neither. They reason like a person, act like a script, and hold the credentials of both.
A single support copilot might read your customer database, call nine internal tools, and reach AWS — all in one prompt. Multiply that by every team shipping agents this quarter, and you get a fleet of high-privilege actors that no one inventoried and no policy governs.
That gap is what we’re closing. Not by slowing teams down, but by making every agent visible, scoped, and safe to ship.
The exposure was already live
When we scanned the agent skills teams are already running, the numbers made the case for us.
26.1%
of agent skills contained a vulnerability
5.2%
showed likely malicious intent
64
risk checks across prompt, tool, and dependency paths
Make AI agents safe to deploy at scale — so teams can move fast without handing attackers a master key.
What we believe
The principles we build on
You can't secure what you can't see
Every AI agent with production access should be discoverable, named, and owned. Shadow agents are the new shadow IT.
Least privilege, by default
Agents inherit human-scale credentials but act at machine speed. Access should be mapped, scoped, and provable.
Stop risk at execution time
Static scans find issues; a runtime gate prevents them. The dangerous tool call should be blocked before it lands.
Speak the language of reviewers
Findings only matter if they map to OWASP, SOC 2, ISO, and NIST. Evidence should be export-ready, not screenshots.
How we got here
From a problem to a platform
- 1
The problem
Agents started acting on their own
By 2026, teams everywhere shipped agents that call tools, reach into AWS, read data, and push code — faster than security could review them.
- 2
The signal
We scanned what was already shipping
Across public agent skills, 26.1% carried a vulnerability and 5.2% showed likely malicious intent. The exposure wasn't theoretical.
- 3
The build
One platform, four layers
Agent discovery, a permission graph, an evidence-backed risk scanner, and a runtime policy gateway — mapped to the OWASP agentic and MCP Top 10.
- 4
Now
Open demo, audit-ready evidence
A live console anyone can explore, plus one-click compliance evidence built for the security reviews enterprises run before they buy.
See your agents before an attacker does
Explore the live demo, or run a free scan against your own agent skills. No setup, no credit card.