In-depth coverage of AI governance, model risk management, and regulatory compliance for enterprise teams.
Fairness & BiasContext: Questions From Teams Rolling Out AI in HR After Princeton researchers found that large language models (LLMs) scored about 65% higher than humans on a segregation scale in hiring simulations,
Roles & AccountabilityScope of This Guide This guide covers governance requirements for agentic AI systems in banking, where AI components make decisions, invoke tools, and execute multi-step processes with minimal human i
Compliance & AuditThe Problem: Why You Need an AI Control Plane Your AI agents are making decisions in production, accessing APIs, querying databases, and executing workflows. But can you prove to an auditor what they
Adversarial SecurityYou ve added a new AI-powered security scanner to your model inventory. Your team ran the initial tests. The tool flagged a few issues. Everyone moved on. Three months later, you discover the scanner
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Adversarial SecurityYou ve built safeguards against model hallucinations and bias. You ve documented use restrictions and validated outputs. But when disinformation researchers from OpenAI , Georgetown University s Cente
Third-Party & Supply ChainNIST s upcoming revision of IR 8259 shifts the focus from individual device security to entire product ecosystems. If you re managing IoT risk, your validation scope just expanded. What Changed NIST a
Monitoring & DriftWhen a frontier reasoning model finds a loophole in your instructions, what s your instinct? If you re like most teams, you want to penalize that behavior. Train it out. Make the model learn not to do
Validation & TestingWhen OpenAI and Anthropic tested each other s models for misalignment, instruction following, hallucinations, and jailbreaking, they weren t just sharing research. They showcased a validation approach
Compliance & AuditThe second public draft of NIST IR 8259 Revision 1 has introduced significant changes that go beyond minor updates. After gathering feedback from over 400 participants across industries, federal agenc
Adversarial SecurityScope - What This Guide Covers This guide focuses on the governance and security controls necessary for managing autonomous coding agents in enterprise environments. It covers agent discovery, runtime
Management System GovernanceWhen your government announces an AI strategy with adoption targets and investment commitments, the governance work starts not with implementation but by addressing what the strategy left unanswered.
Compliance & AuditScope - What This Guide Covers This guide focuses on the EU AI Act s postponed high-risk system reporting requirements for financial institutions. It s designed for your team to classify AI systems, p
Compliance & AuditWhen a frontier AI model transitions from development to release, who ensures it s safe? The source material highlights a significant gap: while there s plenty of expert commentary on AI policy framew
Third-Party & Supply ChainMany multinationals are mishandling sovereign AI. They re relegating it to legal and IT teams, viewing it as a compliance issue to minimize rather than a strategic asset that can enhance competitivene
Compliance & AuditThe question at hand Your organization uses AI systems in areas like credit decisioning, customer service chatbots, fraud detection, and marketing personalization. Should you govern them all under a s
Deployment PracticesThese questions started showing up in my inbox when several governance teams faced the same issue: their model risk frameworks assumed AI systems would behave like traditional models with stable, pred
EU AI Act & GPAIWhen GitGuardian reported that 28.6 million hardcoded secrets hit public GitHub in 2025, a 34% year-over-year increase, most security teams doubled down on scanning. More alerts, faster detection, bet
EU AI Act & GPAIThe EU AI Act s 22-month certification deadline for high-risk AI systems is now a pressing reality. If your team serves EU customers, you need a robust governance structure that can withstand regulato
Compliance & AuditYou re facing a pivotal decision that will shape your AI governance strategy for the next 18 months: Should you invest in state-specific compliance frameworks now, or reserve resources in anticipation
Validation & TestingThe Conventional Wisdom AI model containment is often seen as a unique challenge requiring new frameworks and specialized safety protocols. When frontier models escape testing environments, it seems l
Adversarial SecurityThe proposed AI Kill Switch Act introduces a new challenge: the Department of Homeland Security (DHS) could order your AI system offline, with fines up to $20 million per day for non-compliance. The r
Validation & TestingThe question at hand You ve built your AI governance framework. You ve documented acceptable use policies, established human oversight protocols, and created review boards that approve AI deployments.
