Treasury issues an AI Lexicon and sector-specific risk management framework to guide responsible AI adoption across financial ...

A public-private group led by the Treasury issued the first two of six planned resources to help banks navigate the risks and ...

The latest set of AI guidance from the Cloud Security Alliance (CSA) explores the importance of Model Risk Management (MRM) in ensuring the responsible development, deployment, and use of AI/ML models ...

Regulators around the world differ in their approach to model risk management (MRM) regulation – including their definitions of what a model is. While some are more prescriptive, others such as the UK ...

Christian is the CEO and Co-Founder of risk3sixty. As a cybersecurity expert, he has overseen more than 2000 engagements. There’s a common misconception floating around that companies are behind when ...

Understand the importance of Robust AI Risk Management for health care. Enhance efficiency while mitigating new risks.

The impact of agentic AI attacks cascades across an organization/enterprise’s dimensions through the intensification of challenges associated with confidentiality, integrity, and availability.

A ship captain will identify potential risks to their boat, cargo and crew, and put in place strategies to mitigate these risk factors. Risks vary from vessel to vessel; the captain of an enormous ...

As Veeam Software Group GmbH, the market leader in data resiliency, holds its annual user event VeeamON in San Diego this week, it’s on a roll, continuing to stretch its lead over the legacy vendors.