This blog examines Microsoft's latest efforts to tackle what it sees as a growing gap between the security and popularity of AI systems. Microsoft's ML team recently published a framework that explains how organizations can gather information on their use of AI, analyze the current state of their security, and create ways of tracking progress. The blog also provides a link to that report.
What is the AI security risk assessment framework?
The AI security risk assessment framework is a tool designed to help organizations audit, track, and enhance the security of their AI systems. It provides a comprehensive perspective on AI system security by examining the entire lifecycle of system development and deployment, including data collection, processing, and model deployment.
How does Counterfit assist in AI security?
Counterfit is an open-source tool that simplifies the assessment of AI systems' security posture. It has been updated to include an extensible architecture for integrating new attack frameworks and supports various types of attacks, including evasion and model extraction, which helps organizations proactively secure their AI systems.
Why is securing AI systems important?
Securing AI systems is increasingly important due to the unique trust, risk, and security management challenges they present, which conventional controls do not adequately address. The marked interest from various organizations, including startups and governments, reflects a recognition of these challenges and the necessity to enhance the security posture of AI systems.
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