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
Identity and control for every AI agent in your enterprise
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.

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

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

Identity-led. Without friction. Policy and identity enforced automatically at every layer. Actions validated before execution.

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."
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.
Agents inherit the identity of their user, scoped to the task at hand, lifecycle-managed, and decommissioned when the work is done.

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.

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.

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

The latest news, technologies, and resources from our team.
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
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
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
OAuth 2.0 is a well-designed protocol. It solved a real problem elegantly, it scaled across the internet, and the patterns it established are genuinely good engineering. It was also designed for a world that no longer describes what enterprise AI agents actually do.
Roee Salomon
SailPoint launched Agentic Fabric. Okta launched its AI Agents blueprint. The message is consistent: extend your existing identity controls to cover AI agents. It's a reasonable instinct. It's also incomplete in a way that matters enormously.
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
Unlock the potential of agents in your organization.
