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GLOSSARY · L

What Is an LLM Jailbreak?

DEFINITION

LLM jailbreaking refers to exploiting an LLM by providing specific inputs or using conversation tricks to get around its built-in safety mechanisms. This can be done by tricking the model into playing a role, giving it conflicting instructions or by requesting the model to do something it shouldn’t by asking in a roundabout way. This is a key consideration when implementing AI systems and should be mitigated by creating secure models with strong access controls, validation on input/output and constant security testing.

Importance

  • Increases security awareness by exposing AI security circumvention attempts.
  • Improves the level of security for multiple AI agents and applications.
  • Protects confidential data by not revealing it without permission.
  • Ensures models are following instructions.
  • Improves security controls for your team.

Use Cases

  • Conduct authorized red team testing on AI chatbots.
  • Test for issues with instruction following within enterprise AI assistants.
  • Ensure protection from prompt injection attacks.
  • Ensure AI agents are secure before providing access to sensitive tools.
  • Improve security monitoring and incident response procedures.

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