About AI Identity
AI Identity was created to solve a technical problem, but not only a technical problem.
As AI agents become more autonomous, businesses need better ways to know which agent did what, enforce clear boundaries, and reconstruct incidents when something goes wrong. Shared API keys and opaque logs make that almost impossible. AI Identity gives every agent its own identity at the API layer so teams can deploy AI agents with accountability built in.
Behind that, there is a deeper motivation: helping organizations use AI in ways that are responsible, auditable, and genuinely useful to people. The goal is not just to ship infrastructure, but to help teams build systems they can trust — and that their customers can trust — over the long term.
Jeff Leva
Founder & CEO
From the Founder
I'm Jeff Leva, the founder of AI Identity.
I've spent my career close to production systems and the people who have to keep them safe and running. When I started working with AI agents in real environments, I kept running into the same pattern: powerful tools running with shared credentials, minimal guardrails, and no clean way to answer who did what when something broke.
AI Identity grew out of that experience. I wanted a way for teams to give each agent its own cryptographic key, clearly scoped permissions, and a tamper-proof record of every action — without a six-month project or enterprise-only tooling.
More importantly, I wanted the company to be built around service, not just software. That means being clear about what we do, honest about what we don't, and designing the product to help teams meet real obligations to their customers, regulators, and stakeholders.
What We Believe
AI Identity is built on a few simple principles.
Every AI agent should have a real, verifiable identity — not a shared key and a best guess.
Permissions should be explicit and least-privilege by default, with systems that fail closed when there’s uncertainty.
Audit trails should be tamper-evident and useful for real investigations, not just another log table.
We also believe that security and compliance should serve people, not just check boxes. The right infrastructure should make it easier for teams to do the right thing by default — to prevent harm, respond quickly when issues occur, and show their work when someone asks how a system made a decision.
Technology in the Service of Others
AI Identity exists to help businesses and teams serve others better through technology.
That starts with the product: giving teams the tools they need to run AI agents with clarity, safety, and accountability. But it shouldn't stop at the product boundary. As the company grows, we want the business itself to be a small force for good.
To reflect that, a portion of AI Identity's business sales will be directed to organizations working with people and communities in need. As revenue grows, we'll share more concretely how that support is allocated and which organizations we're partnering with, so customers can see the impact their spend helps enable.
How AI Identity Helps Today
Practically, AI Identity gives teams three things: per-agent API keys with scoped permissions, a gateway that enforces policy at the point of use, and hash-chained audit logs that make every agent action traceable and tamper-evident.
That combination helps organizations answer the hard questions — who called which model, under what authorization, and what happened next — and gives them a foundation for meeting frameworks like the EU AI Act, SOC 2, NIST AI RMF, and similar standards.
If you're running AI agents today and want stronger identity and accountability — or if you're just thinking through what responsible deployment should look like for your team — I'd be glad to hear from you.
Let's talk
Whether you're exploring agent governance or ready to deploy, we'd love to hear from you.