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.
Related content
The latest news, technologies, and resources from our team.
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.
Amir Ofek
The Enterprise Guide to AI Agent Identity, Governance, and the ARISE Category
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
Why an LLM Is Not the Core Component of Intent Analysis
Most vendors policing AI agents are using an LLM as the core component of their intent analysis. We think that's the wrong architectural choice - and here's the more nuanced picture of what actually works at production scale.
Chen Pipek
Gartner Just Added Both AI Agent Identity and Intent-Based Access Control to their Hype Cycle for Digital Identity
Gartner's 2026 Hype Cycle for Digital Identity just named AI Agent Identity and Intent-Based Access Control as High benefit innovations. Both embryonic. Both with less than 1% market penetration. The instinct to read "5-10 years to mainstream" as a reason to wait is exactly the instinct that will put you on the wrong side of the incidents that are coming.
Amir Ofek
Who Can Say No to Your AI Agent?
MIT Sloan Management Review asked the question the AI governance industry has been avoiding: who in your organization can say "no" to an AI system doing something it shouldn't, and has the authority to mean it? Most people can't answer it. For enterprise AI agents specifically, it is even harder than it looks. And the reason it's harder reveals exactly what most AI governance programs are still missing.
Amir Ofek
RBAC Is Reaching Its Limit. Intent Is What Comes Next.
Think of it as a Guardian Agent, a continuous, observant layer whose entire job is to make sure that no matter how fluid an agent's permissions become, it can never veer off course from its approved plan. RBAC defines the boundaries. The Guardian Agent polices them, in real time, for every action, across every session.
Chen Pipek
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Unlock the potential of agents in your organization.
