Securing GenAI: A Comprehensive Report on Prompt Attack Taxonomy, Risks, and Solutions

Securing GenAI: A Comprehensive Report on

Prompt Attack Taxonomy, Risks, and Solutions

A New Frontier of GenAI Threats

Generative AI is revolutionizing productivity, but it is introducing critical security vulnerabilities that can compromise your sensitive data and information. Get a comprehensive understanding of prompt-based threats and develop proactive defense strategies.

Prompt-based attacks can have a success rate as high as 88%. Three vectors subject to attack are:

Guardrail bypass attacks exploit model flaws by overwhelming them, breaking security controls.
Information leakage attacks trick systems into revealing private data that should be kept secret.
Goal hijacking attacks craft inputs to make LLMs deviate from intended goals, breaking rules.

Future-proof your GenAI security strategy. Discover best practices and strategies for strengthening your security defenses against emerging adversarial prompt attacks

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