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A CISO-focused deep dive into the NIST AI RMF MAP function and its five subcategories (MAP 1-5). Concrete context-setting, risk categorization, capability documentation, impact mapping, and risk tolerance workflows, mapped to Areebi platform capabilities and authoritative source documents (NIST AI 100-1, AI 600-1, OMB M-24-10, EO 14110, ISO/IEC 42001).
A CISO-focused deep dive into the NIST AI RMF MANAGE function and its four subcategories (MANAGE 1-4). Concrete risk prioritization and response, resource allocation, risk communication, and continuous improvement workflows, mapped to Areebi platform capabilities and authoritative source documents (NIST AI 100-1, AI 600-1, OMB M-24-10, EO 14110, ISO/IEC 42001).
Monitoring an agentic AI system is a different discipline from monitoring a single-turn LLM prompt. Tool-call traces, action authorization audit, retrieval provenance, multi-step replay, and drift detection all matter. This guide explains the new agent observability stack, maps it to OWASP LLM06 Excessive Agency and LLM07 Insecure Plugin Design, and shows how to wire it to NIST AI 600-1's agent-specific guidance.
A CISO-grade review of OpenAI ChatGPT Enterprise: BAA availability, SOC 2 status, EU data residency, retention controls, fine-tuning isolation, and the audit log and identity gaps where an external control plane is required. Authoritative sources: OpenAI Trust portal, OpenAI Enterprise privacy documentation, NIST AI 600-1, EU AI Act Article 50.
The practical playbook for building the AI vendor inventory CFOs now demand. Scope, classification, risk tiering, spend visibility, exit clauses, BAA and DPA matrices, with citations to NIST SP 800-161, IDC AI vendor surveys, IAPP vendor risk guidance, and Gartner AI vendor frameworks.
How manufacturers protect CAD/CAM, process IP, and supply-chain optimisation models when production teams use AI. Air-gapped deployment, customer-managed encryption, redaction, output watermarking, and contract patterns aligned with the US Defend Trade Secrets Act, EU Trade Secrets Directive, NIST SP 800-218, and ISO/IEC 27002 Annex.
A CISO-focused deep dive into the NIST AI RMF GOVERN function and its six subcategories (GOVERN 1-6). Concrete policies, accountability structures, and third-party AI controls, mapped to Areebi platform capabilities and authoritative source documents (NIST AI 100-1, AI 600-1, OMB M-24-10, EO 14110, ISO/IEC 42001).
Step-by-step guide to implementing the NIST AI Risk Management Framework across all four core functions: Govern, Map, Measure, and Manage. Practical checklists, team structures, and tooling recommendations for enterprise AI governance.
Complete guide to ISO/IEC 42001 certification for AI management systems. Learn the requirements, typical costs ($30K-$150K+), audit process, timeline (6-12 months), and how to prepare your organization for the world's first AI-specific ISO standard.
The definitive AI compliance checklist for enterprises: 50 essential controls mapped across 12 regulatory frameworks including EU AI Act, NIST AI RMF, ISO 42001, GDPR, Colorado AI Act, and more. Prioritized by risk level with implementation guidance.
A step-by-step framework for creating an AI governance program in a mid-market organization. Covers stakeholder alignment, policy development, tool selection, deployment, compliance mapping, and measurement with a 90-day implementation timeline.
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