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.

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Discover

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

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Assess Risk

Prioritize what matters most. Every agent risk-scored by what it accesses, what it does, and whether it is behaving as intended.

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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

Arnab Bose
AsanaChief 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.

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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.

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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.

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Integrate With Everything

Works across the enterprise applications, security tools, and first-party systems in your stack.

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Related content

The latest news, technologies, and resources from our team.

  • 1,600 Agents. 1 Incident. Zero Accountability.

    By the end of 2026, most large enterprises will operate a digital workforce of over 1,600 AI agents, according to IBM's Think 2026 survey. That number sounds like progress. It is progress. But it comes with a question most enterprises cannot answer.

    Roee Salomon

    Roee Salomon

  • The Incident Response Problem Nobody Is Preparing For

    I've spent a significant part of my career thinking about incident response. Not the playbook version - the real version. The version where something has already gone wrong, the pressure is high, the timeline is compressed, and the team is trying to answer a deceptively simple question: what happened, and how do we stop it from getting worse. With enterprise AI agents, it's about to get categorically harder.

    Chris Cochran

    Chris Cochran

  • Meet BYOA: The Shadow AI Agent Problem That Makes BYOD Look Simple

    If you were working in enterprise security in the early 2010s, you remember the BYOD moment. We are at that moment again. But this time, the thing employees are bringing into the enterprise isn't a device. It's an agent. And the governance gap is significantly larger.

    Chen Pipek

    Chen Pipek

  • Stop Calling Enterprise AI Agents NHIs. They're Not.

    The identity industry has spent the last two years building NHI security programs, extending governance frameworks, and applying non-human identity controls to enterprise AI agents. The vendors are on board. The analysts are aligned. The conference sessions are packed. And we are governing the wrong thing.

    Amir Ofek

    Amir Ofek


Questions, Answered

The things enterprise teams ask us first. Talk to us

Ready to Make Your AI Agents Accountable?

Unlock the potential of agents in your organization.

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