The State of
‍Attacks on GenAI

Uncover Real-World Attacks, Adversary Techniques, and Future Threats to Protect Your Generative AI Systems

Uncover Real-World Attacks, Adversary Techniques, and
Future Threats to Protect Your Generative AI Systems

The State of Attacks on GenAI delivers cutting-edge insights into
real-world attacks on generative AI systems, based on telemetry data from over 2,000 LLM applications. This comprehensive research reveals how adversary jailbreak techniques are evolving, providing a critical analysis of current and emerging security threats.

The State of Attacks on GenAI delivers cutting-edge insights into real-world attacks on generative AI systems, based on telemetry data from over 2,000 LLM applications. This comprehensive research reveals how adversary jailbreak techniques are evolving, providing a critical analysis of current and emerging security threats.

In This Report, You’ll Discover

//Curated Real-World Attacks
Explore a selection of attacks seen in the wild, including techniques used and their impact.

//Adversary Jailbreak Techniques
Gain detailed observations of the top methods adversaries use to exploit and bypass GenAI systems.

//Adversary Goals & Motivations
Understand what drives attackers and what they aim to achieve.

//Key Technical Insights
Access critical technical knowledge that will help you safeguard your AI systems effectively.

//Future Threat Forecasts
Receive expert predictions for 2025 and actionable suggestions on how your security team can prepare and defend against upcoming threats.