What if an AI model follows your instructions, not because they’re safe, but because you’ve found a way around its safeguards?

LLM Jailbreaking Attacks: 5 Techniques You Should Know
As large language models become more capable, attackers are finding ways to bypass safety guardrails and manipulate model responses.

From persona adoption and prefix injection to linguistic obfuscation, adversarial suffixes, and payload splitting, these techniques exploit how LLMs interpret instructions and context.

Understanding these attack patterns is an important step toward building more secure AI systems.