Resources & Practitioner Guides
Field guides from Assessed Intelligence Advisory; each defines a specific exposure, specifies what a defensible response requires, and closes with an assessment instrument you can apply the same week. Every guide is grounded in the ARISE Framework® and cites its evidence.
Embedded Expertise
Not vendor tools or generic frameworks. Assessed Intelligence advisors work inside your organization, building capability that endures beyond the engagement.
The ARISE Framework®
Our proprietary 7-domain assurance framework, GOVERN, MANAGE, IDENTIFY, PROTECT, DETECT, RESPOND, and VALIDATE, provides the operating model that connects every capability on this page.
Evidence-Based Practice
Every resource is grounded in verified data. If we cite a figure, it has a primary source.
Vendor AI Risk
A practical guide to evaluating the artificial intelligence your vendors are embedding in the products you already use; where the exposure sits, what to require contractually, and how to assess it without stalling procurement
AI Governance Readiness
A practical guide to the AI regulatory landscape as it stands in mid-2026; what the EU AI Act, NIST AI RMF, ISO/IEC 42001, and U.S. state law actually require, where governance programs fail, and how to build one that holds up.
The First 90 Days with a vCISO
A practical guide to fractional security leadership; when a virtual CISO is the right model, what the first ninety days should produce, and how to evaluate whether the engagement is working.
Agentic AI Controls
A practical guide to governing AI agents; systems that hold credentials, use tools, and execute actions rather than merely generating text, and why the control model built for chatbots does not survive contact with them.
Board Reporting on AI & Cybersecurity Risk
A practical guide to reporting security and AI risk to boards and executive leadership; what regulators now require, what directors actually need, and how to replace activity metrics with a posture the board can govern.
Establishing Enterprise AI Governance
A practical guide to building one coherent AI governance program from many sources; combining ISO/IEC 42001, the NIST AI RMF, and regulatory obligations over a single inventory and a single body of evidence, instead of running disconnected programs.
Who Owns AI Governance
A practical guide to assigning ownership and decision authority for AI governance; the six operating models, how to choose among them, where compliance enters the process, and why a committee without authority is the most common failure.
Minimum Evidence for an AI System
The ten artifacts every deployed AI system must be able to produce on demand; what each contains, who will ask for it, and how to generate the package continuously as a side effect of operation rather than assemble it under pressure.
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