Resources

Practical thinking on identity, intent and AI agents

Articles, whitepapers, and videos on putting AI agents to work in the enterprise - safely and at scale.

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Intent

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Blog

· 10 min read
35% of Organizations Can’t Shut Down a Rogue AI Agent. Are You One of Them?
There is a question that boards are now asking CISOs that did not exist eighteen months ago. “If one of our AI agents went rogue right now - if it started doing something it was never supposed to do - could you stop it? How long would it take?” According to Writer’s 2026 enterprise AI survey, 35% of organizations admit they could not shut down a rogue AI agent if one emerged. Three surveys. Three methodologies. One consistent finding: a significant fraction of enterprises have deployed AI agents they cannot stop.
Amir Ofek
1 Sept 2026
· 5 min read
NIST Just Named Five AI Agent Identity Problems.
When the National Institute of Standards and Technology publishes a warning about enterprise AI agent security, CISOs pay attention. NIST’s NCCoE named five specific identity and authorization practices that present substantial security challenges for agentic AI systems. I am not going to claim that NIST endorses aizome. What I am going to do is walk through each of the five problems NIST names and show you the architecture we built to address them. Because the architecture NIST says enterprises need is the architecture aizome already built.
Amir Ofek
31 Aug 2026
· 10 min read
How Sales, Marketing, and Operations Teams Are Using Local AI Tools to Get Work Done And What Makes It Safe to Scale
Between purpose-built agents and shadow AI tools is a third category that most enterprises have not yet built governance infrastructure to support. Local AI tools. Claude Cowork. Claude Desktop. Tools that connect to the systems an employee already uses, respond to natural language instructions, and produce work that previously required hours of manual effort. The tool is legitimate, the user is known, but the data access pattern is new, the workflows are ungoverned, and the boundary between “this employee’s work” and “this AI tool’s access” is not clearly defined in any existing identity framework.

Showing 10 - 12 of 40 articles

Whitepapers

Videos

Making Enterprise AI Agents Accountable
See aizome in action. Your employees are already building AI agents - connected to your most sensitive systems, operating under inherited identities, with no one watching what they’re actually doing. This video shows what changes when aizome is in your environment. Every agent discovered. Every identity governed. Every action validated before it executes. Every outcome accountable. Watch to see what’s already running in your environment - and what it looks like when it’s governed.
Hacker Valley Media - Podcast - Do You Know What Your Agent Is Doing at 3AM?
Your AI agents don’t sleep. They don’t take breaks. And if nobody is watching their intent - not just their access - they will reach further than they should. In this episode, aizome CEO Amir Ofek joins Hacker Valley Media to talk about the autonomous workforce already running inside enterprise environments - ungoverned, unmonitored, and unknown. A conversation about why knowing what an agent is permitted to do is not the same as knowing what it is actually doing right now. Listen here - https://hackervalley.com/e/do-you-know-what-your-agent-is-doing-at-3am-with-amir-ofek
AI Adoption
The Future Workforce Will Be Dominated by AI Agents. Long Live ARISE.
NHI is evolving. Or is it being replaced? In this fireside chat, SACR analyst Lawrence Pingree and Amir Ofek make the strongest possible case for why extending NHI frameworks to cover AI agents is not the right strategy. The argument: organizations treating enterprise AI agent governance as “NHI with extra steps” are building programs that will fail in production. ARISE - Agentic Runtime Identity Security Enforcement - is not an extension of NHI. It is what comes after it.
Amir Ofek
18 Aug 2026

Showing 1 - 3 of 4 videos

Datasheets

Showing 4 - 6 of 9 datasheets

Comics

Notes on accountable AI

Occasional, substance-first writing on identity, intent, and putting AI agents to work across the enterprise. No noise.