How Prompt Attacks Exploit GenAI and How to Fight Back
1 min read
Summary
An alarming new report from Palo Alto Networks reveals increasing vulnerabilities in AI applications and AI agents, detailing a plethora of new threats, including ‘goal hijacking’, ‘information leakage’ and ‘infrastructure attacks’
For example, an attacker can manipulate a GenAI application to compromise its resources with prompt attacks, such as repeat-instruction or remote code execution attacks, as well as manipulate a GenAI model to generate malware that can compromise the application workload or end user.
The report also introduces a taxonomy for adversarial prompt attacks to secure against future threats and provides an anatomy of such attacks along with prevention techniques and practical cybersecurity solutions.
