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Immediate value. Day one. Every agent in your environment mapped within hours - including the ones no one knew existed.
Move Fast. Stay In Control
Making AI Agents
Accountable
Identity and control for every AI agent in your enterprise
12,847 / 24,519Active agents
How aizome makes your Agents Accountable
Most enterprises have more agents than they know about, more access than they authorized, and no way to govern either. aizome changes that in three steps.
Assess Risk
Prioritize what matters most. Every agent risk-scored by what it accesses, what it does, and whether it is behaving as intended.
Control and Govern
Identity-led. Without friction. Policy and identity enforced automatically at every layer. Actions validated before execution.
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What Security Leaders Say
Chief Product Officer, Asana (former CPO, Okta)
Arnab Bose
"The governance challenge around enterprise AI agents is real, and it won't be solved by extending existing IAM frameworks. aizome is tackling it the right way."
One Platform, End to End
Firewalls won't work. An agent knocks on their door a thousand times an hour until it finds the gap. Identity is the only gate that holds: the one your enterprise has spent two decades building.
Govern Identity
Agents inherit the identity of their user, scoped to the task at hand, lifecycle-managed, and decommissioned when the work is done.
Intercept Intent
Agents will reach further than they should if nobody is watching. So we watch the intent, not the output: what the agent is trying to do, and why. The earliest chance to step in.
Built For Enterprise Agents
Ship-to-bill. Talent reviews. Contract monitoring. Customer-care triage. The unglamorous, revenue-impacting, buried-in-the-middle-of-the-business processes. The work nobody shouts about but no organization could live without.
Integrate With Everything
Works across the enterprise applications, security tools, and first-party systems in your stack.
Our Partners
Aizome is a member of Google Cloud for Startups, NVIDIA Inception and AWS Startups.
Related content
The latest news, technologies, and resources from our team.
AI Agents Don't Cheat. They Optimize. That's the Problem.
When your agent succeeds, is it succeeding at what you actually wanted - or at the proxy metric you used to measure it? If you cannot answer that question continuously, in real time, for every agent operating in your environment, you do not have functional continuity governance. You have a specification and a hope.
Amir Ofek
What Ghostjacking Taught Us About the Limits of Identity Governance
Traditional identity governance asks: is this agent allowed to do this? Ghostjacking demonstrates that the right question is: should this agent be doing this, right now, based on what it has just read? Those are different questions. And only the second one catches this attack.
Amir Ofek
The Framework That Defined Cybersecurity Doesn't Work for AI. Here's What Does.
AI security is not another pillar in the Cyber Defense Matrix. It is the entire spectrum. A single enterprise AI agent - built by one person in Finance on a Tuesday afternoon, connected to your ERP, your reporting system, and your communication tools - simultaneously implicates every row of the matrix in a single interaction. You cannot govern this by assigning it to a cell.
Roee Salomon
You Don't Have AI Governance. You Have a Notarization Service.
Most enterprise AI governance programs are notarization services. They witness the policy. They do not verify the control. A notarization does not verify the underlying facts - it witnesses the signature. The OpenAI incident illustrates what happens when an agent operates without governance that verifies controls - not just documents them.
Amir Ofek
Nobody Is the Human in the Loop. Here's What Actually Works.
Human-in-the-loop governance is the most widely cited answer to the enterprise AI agent risk problem. It is also the answer that fails most reliably in production. Not because the concept is wrong. The instinct to keep a human accountable for consequential AI actions is correct. The problem is that "human-in-the-loop" as an implementation strategy breaks down in three distinct ways before most enterprises realize it has broken - and the replacement architecture is rarely in place when it does.
Chen Pipek
Seven Questions Every Enterprise Should Be Able to Answer About Their AI Agents - And Why 86% Can't Answer Even One.
The 2026 CISO AI Risk Report surveyed 235 large-enterprise security leaders and found that 86% do not enforce access policies for AI identities. Not 86% who haven't gotten around to it yet. 86% who have thought about it, assessed their infrastructure, and found that enforcing access policies for AI agents is something their current stack cannot do. These are the seven questions they cannot answer. None of them are advanced. All of them are baseline.
Chen Pipek
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