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.
Scammers used AI-generated images to impersonate policyholders and defraud insurance companies, highlighting gaps in identity verification and AI risk management.
Compliance teams are focusing on text filters while ignoring critical model weight vulnerabilities, creating a dangerous illusion of security.
Cutting through the noise on AI risk management — what actually matters, and why.
Global regulators tighten AI rules while hidden risks and reporting gaps emerge.
South Bend's housing workshop highlights how AI systems can perpetuate discrimination in housing decisions, mirroring failures seen in other sectors.
The EU AI Act's requirement to report serious incidents by December 2027 will likely miss the most dangerous risks—environmental harm and capability failures—because those events never make the news.
New York state laws restricting unsafe chatbot behavior for minors highlight why customer-facing AI needs strict guardrails and human oversight.
Recent warnings about AI deepfakes highlight a specific governance failure: systems that can be tricked into authenticating the wrong person through synthetic media.
OSFI's model risk guideline will force institutions with separate AI governance to validate the same systems twice.
The shutdown of Ollie, a privacy-focused AI assistant, underscores the risks of inadequate data protection and business viability in AI.
South Bend's recent workshop on AI bias in housing decisions reveals a critical gap in algorithmic governance for high-stakes automated systems.
A recent case study highlights how historical data bias in algorithms can lead to discriminatory outcomes, even in modern AI systems.
Board-level AI risk reporting is increasingly driven by what journalists can narrate, not actual harm, creating blind spots in critical areas like robustness.
Group-IB's analysis shows that deepfake fraud succeeds because a single convincing channel is enough to authorise a payment, and detection tools cannot close that gap on their own.
A recent study found that a covert instruction planted in an AI agent's context steered users' choices 86 percent of the time, which is a governance problem about what your agents are quietly told.
AI governance teams are failing to track and mitigate risks related to environmental harm caused by AI operations.
Italy has formally set its national governance framework under European artificial intelligence rules, turning vague statutory obligations into real inspection powers.
Organizations are prioritizing paperwork over actual risk mitigation, leading to a surge in compliance failures that won't be caught until audits.
Prompt injection gets the headlines and the budget. AI agent tool invocation has 15 documented real cases and zero mentions in the news we track. That gap is a resource allocation problem.
New York's new law banning harmful AI chatbot features for kids highlights failures in customer-facing AI accountability, with lessons from past incidents and clear steps to prevent similar issues.
A lack of reported incidents on AI competitive dynamics leaves organizations vulnerable as regulators prepare to apply antitrust frameworks to AI markets.
What a recent data-privacy case reveals about AI risk management — the failure mode and the controls that contain it.
Attackers are using AI to create convincing fake login pages that bypass traditional security measures, leading to increased account takeovers.
What our scouts found across 57,901 open AI agents and MCP servers in the week of 19 October 2026 to 25 October 2026: who is doing the basics well, what we held back, and how the ecosystem measures up.