Discover
Immediate value. Day one. Every agent in your environment mapped within hours - including the ones no one knew existed.
Move Fast. Stay In Control
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 agentsSecuring AI by the world’s top providers
Oracle
Microsoft
Google
Cursor
Anthropic
AWS
Salesforce
OpenAI
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.
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.
01 / 07
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.
The Enterprise AI Agent Revolution Is Here - My CYBER.SEC.CON Reflection
Someone walked up to our booth and asked: “So what do you do - is this like a guardrails thing?” It is a reasonable question. Most of what people have heard about AI security has been about guardrails - content filters, output moderation, prompt sanitization. The assumption baked into that question is that the risk lives at the language layer. That assumption is no longer the right one. And the gap between where most people think the risk is and where it actually is - that is where the incidents are happening.
Amir Ofek
The Problem Has Moved From Prompt Hygiene to Access Architecture
The conversation about AI agent security has been dominated by the wrong question. For the last two years, most of the energy in this space has gone into making AI agents say the right things. Guardrails. Output filters. Prompt sanitization. The implicit assumption is that the risk lives at the language layer. That assumption is now definitively wrong. The problem has moved from prompt hygiene to access architecture. The risk is not what agents say. It is what they do - with authorized access, through legitimate tool calls, in ways that no output filter was designed to evaluate.
Chen Pipek
When a Support Ticket Emails Your Customer Database
Support teams do something no other department does on purpose. They let strangers write directly into their systems. Customers paste logs, forward email threads, attach files, and describe problems in whatever words they have. An AI agent can turn that pile into a clean morning queue summary. It can also read it as instructions. We built a complete indirect prompt-injection chain using Salesforce and Claude Desktop. An outsider filed a plausible billing ticket through a public support form. Later, an employee asked Claude to summarize the day’s queue. Claude read the ticket, followed a short routing block buried inside it, exported 25 Accounts, 25 Contacts, and 25 Cases, and mailed the package to an external address.
aizome Research Labs
The Six ARISE Capabilities the SACR Report Points To - And How to Evaluate Whether a Vendor Has Them
SACR named ARISE. Every vendor will now claim it. Six capabilities separate genuine ARISE platforms from adjacent tools with a new label - and six evaluation questions that tell you which one you are looking at before you buy.
Chen Pipek
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
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
Ready to Make Your AI Agents Accountable?
Unlock the potential of agents in your organization.
