Govern Identity
Agents inherit the identity of their user, scoped to the task at hand, lifecycle-managed, and decommissioned when the work is done.
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.
Discover
Immediate value. Day one. Every agent in your environment mapped within hours - including the ones no one knew existed.
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.
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.
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ServiceNow's CEO Just Confirmed It. 2.2 Billion Agents. 2.2 Billion New Identities.
On ServiceNow's latest earnings call, Bill McDermott said something that stopped me. "There are 2.2 billion agents entering the enterprise globally. That's 2.2 billion new identities." That is the most important statement made about enterprise AI security on an earnings call this year. When a Fortune 500 CEO names agent identity as the central enterprise security challenge, in front of investors, on a quarterly earnings call, the category has officially arrived.
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$1 in Security for Every $735 in AI. That's the Real $234 Billion Question.
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NIST Just Proved Rules Aren't Enough. Intent-Based Identity Is What Comes Next.
Darktrace's conclusion from the NIST analysis is that AI security must shift from rules to behavior. This is right. But behavioral detection alone has a limitation that matters for enterprise AI agent governance: it tells you when something looks different. It does not tell you whether what is different is wrong. The answer is not behavior alone. It is identity and intent as the reference layer against which behavior is evaluated.
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7 Types of AI Agents Every Security Team Needs to Know (And How to Govern Each One)
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Enterprise AI agents are operating in Finance, HR, Sales, Operations, and IT at organizations across every industry - accessing sensitive data, executing multi-step workflows, and making consequential decisions, often with no human in the loop. The identity and governance infrastructure designed to secure human employees and traditional machine identities was not built for this.
aizome - Making AI Agents Accountable
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