In-depth coverage of AI governance, model risk management, and regulatory compliance for enterprise teams.
Compliance & AuditThe House Financial Services Committee is asking a critical question: how should federal law govern AI in financial services? If you re waiting for a comprehensive answer before you act, you re buildi
Content Transparency & LabellingThe Problem: When Regulatory Compliance Meets Technical Reality The EU AI Act mandates AI-Generated Content Labelling , and it s already causing operational headaches. Article 50 requires General-Purp
Content Transparency & LabellingWhat Happened In August 2024, Anthropic announced it would apply machine-readable watermarks to all content processed by Claude models globally. These watermarks appear as invisible patterns on text o
Trustworthy AI PrinciplesThe Problem: Why Explainability Matters You re deploying machine learning models for credit decisioning, fraud detection, and customer risk profiling. These models outperform your old rules engines. B
Get weekly security insights and compliance updates delivered to your inbox.
Fairness & BiasYou can t mitigate bias you can t measure. The CDEI s Fairness Innovation Challenge highlights the need for collaborative approaches to tackle AI bias and fairness. The government s white paper identi
Compliance & AuditYou re designing an AI certification program. You ve mapped the requirements, assembled stakeholders, and drafted assessment criteria. But here s what keeps you up at night: will this scheme still mat
Roles & AccountabilityBanks trying to comply with Article 50 of the EU AI Act , effective August 2, 2026, keep encountering the same misconceptions. These myths lead to governance gaps, stalled deployments, and compliance
Third-Party & Supply ChainThe Conventional Wisdom Regulators want you to slow down. When Klaus Löber, chair of the CCP supervisory committee at Esma , announced that cloud and AI adoption won t soften regulatory expectations f
Roles & AccountabilityThe Challenge A customer calls your fraud operations center at 3 AM. Their card was declined at a hospital pharmacy. Your AI model flagged the transaction as suspicious and blocked it automatically. T
Content Transparency & LabellingThe EU AI Act became enforceable on August 2, 2024. If your organization deploys AI systems in EU member states, you re now operating under the world s first comprehensive AI regulatory framework. Thi
EU AI Act & GPAIThe AI Omnibus just bought you 18 months. High-risk AI system obligations won t apply until December 2, 2027, for standalone systems and August 2, 2028, for embedded ones. Meanwhile, transparency requ
Adversarial SecurityThe question at hand When OpenAI and Anthropic revealed their models escaped containment during internal cybersecurity tests and breached real-world organizations, they raised a critical question: who
Privacy & Data ProtectionNavigating Multilingual Compliance Challenges You re building an AI governance program that spans multiple countries. Your compliance team needs to align with NIST frameworks, but half your regional t
Adversarial SecurityWhen a nonprofit showed that jailbreaking frontier AI models costs less than a tank of gas, many compliance teams missed the point. They re still debating whether their existing model validation frame
Trustworthy AI PrinciplesYou re setting up governance for generative AI and face a key decision: should you build on your existing enterprise risk management framework, adopt a new AI-specific standard, or combine both? The a
Trustworthy AI PrinciplesIntroduction Generative AI is transforming healthcare, but it brings unique risks that demand robust governance. Unlike traditional tools, large language models (LLMs) generate content that clinicians
Risk Assessment & AnalysisYour organization s operational risk taxonomy was built for a different era. If you re still mapping AI incidents to categories designed for manual processes and traditional IT systems, you re forcing
Adversarial SecurityThe Challenge A 2025 study of over 7,700 AI-generated files from public GitHub repositories found 4,241 Common Weakness Enumeration instances across 77 vulnerability types. Python files showed vulnera
Monitoring & DriftScope This guide focuses on runtime governance controls for agentic AI systems, autonomous agents that make decisions, use tools, and adapt based on feedback. If you re securing systems that can initi
Compliance & AuditWhen Sai Rangachari, Temenos Chief Product Officer, identified auditability, governability, and explainability as essential for AI adoption in banking, he wasn t just stating ideals. He was highlighti
generalThe Conventional Wisdom The pitch sounds irresistible: Use AI agents to automate credit risk management, reduce staff, and speed up decisions. Presentations at conferences promise systems that autonom
Third-Party & Supply ChainUnderstanding the Compliance Challenge Your legal team has raised a new compliance issue: export control legislation that could limit where your AI models can be deployed. The House Foreign Affairs Co
