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Immediate value. Day one. Every agent in your environment mapped within hours - including the ones no one knew existed.
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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.
How Sales, Marketing, and Operations Teams Are Using Local AI Tools to Get Work Done And What Makes It Safe to Scale
Between purpose-built agents and shadow AI tools is a third category that most enterprises have not yet built governance infrastructure to support. Local AI tools. Claude Cowork. Claude Desktop. Tools that connect to the systems an employee already uses, respond to natural language instructions, and produce work that previously required hours of manual effort. The tool is legitimate, the user is known, but the data access pattern is new, the workflows are ungoverned, and the boundary between "this employee's work" and "this AI tool's access" is not clearly defined in any existing identity framework.
MCP Security: What the Most Popular Enterprise MCP Integrations Actually Mean for Your Governance Program
Every MCP connection establishes a persistent trust relationship between an AI agent and the system it connects to. The agent authenticates to the MCP server once, establishing a session within which multiple tool calls can occur. What happens inside that session - which data is accessed, which actions are taken, which instructions the agent follows - is governed by the MCP server itself. Most enterprise identity governance stacks have no visibility into this layer.
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
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