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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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Blog

· 6 min read
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
1 Jan 1970
· 10 min read
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
15 Jul 2026
· 7 min read
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
13 Jul 2026

Showing 1–6 of 16 articles

Datasheets

PDF
Governance & Compliance
Aizome Platform Datasheet
A datasheet on how Aizome makes every enterprise AI agent accountable, with identity, intent and control for the agents your workforce is already building. See what the platform delivers, how it fits the stack you already run, and how to get visibility in minutes.
15 Jun 2026Download the datasheet (PDF)

Notes on accountable AI

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