Securing GenAI Against Adversarial Prompt Attacks

Gain insights into protecting your AI apps, models, agents, and data.

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.