Securing GenAI Against
Adversarial Prompt Attacks

Securing GenAI <br>Against Adversarial Prompt Attacks

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

Get preventative strategies

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.
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Information leakage attacks trick systems into revealing private data that should be kept secret.
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Goal hijacking attacks craft inputs to make LLMs deviate from intended goals, breaking rules.
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Future-proof
your GenAI
security strategy

Discover best practices and strategies for strengthening your security defenses against emerging adversarial prompt attacks.