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The Digital Operational Resilience Act (Regulation (EU) 2022/2554) has been in application since 17 January 2025. For financial entities now running generative AI in production, DORA quietly added a new set of obligations - around ICT third-party risk, incident reporting, resilience testing, and information sharing - that apply to every AI workload connected to a covered function. This deep dive maps how AI workloads sit inside DORA's five pillars, where the audit gaps emerge in practice, and how Areebi's audit trail and policy engine reduce the evidence burden.
The honest math on building an AI governance platform in-house versus buying one, and the realistic open-source middle path. Twelve-month total cost of ownership comparison for a 500-employee company, the criteria that make build the correct answer, the criteria that make buy the correct answer, and a decision framework you can hand to a CFO without losing the room.
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.
The Privacy and Other Legislation Amendment Act 2024 passed Australian Parliament on 29 November 2024 and received Royal Assent on 10 December 2024. It is the largest revision of the Privacy Act 1988 in a decade. The children's privacy reforms commence 10 December 2026, the statutory tort of serious invasions of privacy was active from 10 June 2025, and the OAIC's 2026 enforcement priorities lean heavily on AI and automated decision-making. This is the CISO-facing 12-month compliance checklist.
A practical 90-minute playbook to discover shadow AI in your organisation. Six parallel workstreams - SaaS billing audit, DNS log scan, browser extension survey, finance card scan, Slack/Teams app inventory, and SSO/IDP scan - with concrete commands, worksheets, and a unified inventory output. Sources: CSA Top Threats to Cloud Computing 2024, NIST SP 800-115, IDC SaaS management research, IAPP shadow IT studies.
A working compliance checklist for federal AI contractors under OMB Memorandum M-24-18 (October 2024). Covers scope, pre-award diligence, in-life monitoring, rights-impacting versus safety-impacting AI, the AI Use Case Inventory requirement, and cross-references to NIST AI RMF and Executive Order 14110. Authoritative sources: OMB M-24-18, OMB M-24-10, EO 14110, AI.gov, GSA AI 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.
An honest architecture walkthrough for deploying Anthropic Claude in an enterprise with the Areebi control plane. Covers Claude API access, Claude Enterprise, model versioning, prompt caching, Constitutional AI safety controls, and where Areebi adds workspace, DLP, and audit at the boundary. Sources: Anthropic Trust portal, Claude API documentation, Constitutional AI paper, NIST AI 600-1.
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.
A practical implementation guide to Singapore's AI Verify framework, the AI Verify Foundation toolkit, and the Model AI Governance Framework. Crosswalks to NIST AI RMF, ISO/IEC 42001, the EU AI Act, and OECD AI Principles, with citations to IMDA, AI Verify Foundation, PDPC, and OECD AI Policy Observatory.
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.
An actuarial-grade governance framework for AI in insurance underwriting and pricing. Covers the NAIC AI Model Bulletin, state DOI examinations, model risk overlap with Federal Reserve SR 11-7 and OCC 2011-12, plus Colorado DOI and NY DFS bulletins. Practical pattern for documentation, fairness testing, drift monitoring, and examiner audit trails.
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