Making AI Agents
Accountable

The identity AI gateway for the enterprise.

12,847 / 24,519Active agents
5,400Tokens consumed112AI agents discovered$4,000Spend by Marketing$6,789Spend by Finance$8,987Spend by Engineering922Unmanaged agents

Securing AI by the world's top providers

How aizome makes your Agents Accountable

Most enterprises have more agents than they know about, more access than they authorized, more cost than they budgeted for, and no way to govern any of it - until now. aizome changes that in three steps.

  • Discover

    Immediate value. Day one. Every agent in your environment mapped within hours - including the ones no one knew existed.

  • Govern

    Identity-led. Without friction. Every agent gets an identity, a boundary, and an owner. Policy enforced and actions validated before execution.

  • Contain

    Intent monitored. Cost controlled. Every token tracked, every behavioral deviation flagged - before it becomes a security incident or a budget overrun.

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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.

Token and Cost Governance

Token and data volume limits enforced per session. Runaway agent consumption detected against behavioral baseline and contained before it becomes a budget overrun.

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 Agent Security Isn't Too Complex to Start. You're Just Missing the Map.

    AI agent security doesn't have to be overwhelming. Instead of chasing every new acronym or vendor category, start with three simple questions that cut through the noise. This practical framework helps CISOs prioritize discovery, identity, and runtime governance in the right order, so you can build an AI agent security strategy that actually works.

    Chen Pipek, CPO & Co-founder aizome

    Chen Pipek

  • AI Agents Don't Create Security Debt. They Collect It.

    Permissions copied from one employee to the next when someone changed roles. Temporary access granted three years ago and never revoked. Files shared "just for now" that are still accessible today. These are not new problems. They have been accumulating in enterprise environments for years, sitting underneath security programs that were doing their best but were never designed to surface them systematically. AI agents surface them all at once. At machine speed.

    Chen Pipek, CPO & Co-founder aizome

    Chen Pipek

  • 35% of Organizations Can't Shut Down a Rogue AI Agent. Are You One of Them?

    There is a question that boards are now asking CISOs that did not exist eighteen months ago. "If one of our AI agents went rogue right now - if it started doing something it was never supposed to do - could you stop it? How long would it take?" According to Writer's 2026 enterprise AI survey, 35% of organizations admit they could not shut down a rogue AI agent if one emerged. Three surveys. Three methodologies. One consistent finding: a significant fraction of enterprises have deployed AI agents they cannot stop.

    Amir Ofek

    Amir Ofek

  • NIST Just Named Five AI Agent Identity Problems.

    When the National Institute of Standards and Technology publishes a warning about enterprise AI agent security, CISOs pay attention. NIST's NCCoE named five specific identity and authorization practices that present substantial security challenges for agentic AI systems. I am not going to claim that NIST endorses aizome. What I am going to do is walk through each of the five problems NIST names and show you the architecture we built to address them. Because the architecture NIST says enterprises need is the architecture aizome already built.

    Amir Ofek

    Amir Ofek

  • 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.


Questions, Answered

The things enterprise teams ask us first. Talk to us

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aizome enterprise AI agent governance platform