316 free articles on AI governance and AI risk management: EU AI Act, NIST AI RMF, ISO 42001, incidents, deadlines and practical controls. New posts daily. Subscribe by RSS.
Treating illegal-content filtering as a model accuracy issue will produce false-positive governance penalties when prompt-crafted inputs slip past static moderation layers.
A woman in Orlando lost thousands after a phone call using AI voice cloning convinced her to transfer money, showing why relying on voice alone for sensitive actions is a dangerous governance failure.
OSFI Guideline E-23 takes effect in May 2027, forcing financial institutions to apply traditional model risk management frameworks to large language models that are inherently non-deterministic.
What our scouts found across 44,954 open AI agents and MCP servers in the week of 28 September 2026 to 4 October 2026: who is doing the basics well, what we held back, and how the ecosystem measures up.
New reports show how AI risks are being obscured by privacy concerns, creating hidden liabilities for businesses.
A grounded look at AI governance for the agentic era — and what to do next.
An AI governance platform’s work uncovering bias, data exposure, and unintended actions highlights why proactive risk controls are critical before deployment.
The lack of news coverage on AI agent tool invocation proves organizations are failing to monitor autonomous systems' external interactions.
A recent announcement about AI tools in schools highlights growing privacy risks that risk teams must address.
A recent debate about banning AI in schools highlights a deeper governance failure, not just a technical issue.
An AI-generated persona successfully engaged with real users on a social media platform, blurring the line between synthetic and human content.
Falling critical-incident counts alongside rising privacy counts are not a safety improvement. They are what happens when the only reporting channel with a legal clock is the privacy one.
The 2026 Right Livelihood laureates named AI bias as a governance failure, not a technical glitch. Here is the mechanism and the controls that actually catch it.
The complete absence of reported incidents on AI overreliance creates a blind spot that will lead to catastrophic operational failures in autonomous systems.
RadarFirst has launched a tool for managing AI incidents, which is worth paying attention to because most companies still handle AI problems in email threads and panic.
Reported AI security failures are dropping while privacy stories surge, and the shift looks like reclassification, not improvement.
New legal precedents and regulatory approaches are holding businesses accountable when deepfake technology enables fraud, creating significant liability risks for financial institutions and other organizations.
The recent spike in privacy incidents is not about consent or collection, but about AI inference over lawful data, and the correct governance tool is a derivation register, not a consent refresh.
What a recent case reveals about AI governance — the failure mode and the controls that contain it.
The current surge in privacy incidents acts as a regulatory camouflage that conceals zero-reported overreliance and lack of robustness risks.
What our scouts found across 41,798 open AI agents and MCP servers in the week of 21 September 2026 to 27 September 2026: who is doing the basics well, what we held back, and how the ecosystem measures up.
A grounded look at AI risk management for the agentic era — and what to do next.
New rules and reports highlight the gap between AI governance on paper and what actually happens in practice.
New tools using AI for hiring and workplace decisions are creating fresh risks around bias, privacy, and compliance that risk teams need to address.