New whitepaper outlines the taxonomy of failure modes in AI agents
Read the new whitepaper from the Microsoft AI Red Team to better understand the taxonomy of failure mode in agentic AI.
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3 takeaways from red teaming 100 generative AI products
Since 2018, Microsoft’s AI Red Team has probed generative AI products for critical safety and security vulnerabilities. -
Announcing Microsoft’s open automation framework to red team generative AI Systems
Today, we are releasing an open automation framework, PyRIT (Python Risk Identification Toolkit for generative AI) to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems. -
Microsoft AI Red Team building future of safer AI
We’re sharing best practices from our team so others can benefit from Microsoft’s learnings. -
Best practices for AI security risk management
Today, we are releasing an AI security risk assessment framework as a step to empower organizations to reliably audit, track, and improve the security of the AI systems. -
AI security risk assessment using Counterfit
Counterfit is a command-line tool for security professionals to red team AI systems and systematically scans for vulnerabilities as part of AI risk assessment. -
Cyberattacks against machine learning systems are more common than you think
Machine learning (ML) is making incredible transformations in critical areas such as finance, healthcare, and defense, impacting nearly every aspect of our lives. -
Azure Sentinel uncovers the real threats hidden in billions of low fidelity signals
Azure Sentinel Fusion technology uses powerful machine learning methods to enable your SecOps team to focus on the threats that matter.