Presentation Material
Abstract
As adversaries rapidly develop sophisticated AI attacks, the solutions also need to evolve rapidly. This panel will explore Cross/Indirect Prompt Injection Attacks (XPIA) and the need to rethink traditional defense in depth strategies. Gain insights into XPIA trends, risk analysis, and innovative solutions to protect critical infrastructure. Join for practical strategies and expert insights.
AI Generated Summary
The talk focuses on XPIA (Cross-Prompt Injection Attack), a type of attack that exploits the vulnerabilities of Large Language Models (LLMs) and generative AI systems. XPIA occurs when an attacker injects malicious prompts into an AI system, which can lead to unauthorized data access, exfiltration, or remote code execution. The panelists discussed the anatomy of XPIA attacks, highlighting the challenges of detecting and preventing such attacks due to the complexity of AI systems and the lack of separation between trusted and untrusted inputs.
Key findings and techniques presented include:
- Understanding XPIA: The panelists emphasized the importance of understanding how XPIA attacks work, including the role of prompt injection and the exploitation of trusted inputs.
- Defense-in-depth: The panelists recommended a defense-in-depth approach, which involves implementing multiple layers of security controls, such as input validation, continuous monitoring, and anomaly detection.
- Red teaming: John Leo Jr. discussed the importance of red teaming, which involves simulating XPIA attacks to test the defenses of AI systems.
- Threat modeling: Aanchal Gupta highlighted the need for threat modeling, which involves identifying potential attack vectors and vulnerabilities in AI systems.
Practical implications and takeaways include:
- Basic hygiene: Aanchal Gupta emphasized the importance of basic security hygiene, such as implementing access controls and input validation.
- Study and understanding: Stefano Zanero recommended that security professionals study and understand how AI systems work, including their specific contexts and potential vulnerabilities.
- Continuous monitoring and testing: John Leo Jr. emphasized the need for continuous monitoring and testing to detect and prevent XPIA attacks.
- Adaptability: The panelists agreed that security professionals must be adaptable and able to respond quickly to evolving threats and vulnerabilities in AI systems.