Prompt Engineering · TRACK 04/05
Prompt Injection & Security
The attack class every LLM app inherits on day one.
// THE TRACK
01 · START HEREPrompt InjectionUnderstand the attack every LLM app inherits on day one: how plain text hijacks model behavior and why it tops the OWASP LLM risk list.BEGINNERInjection DefensesGet a layered defense playbook for prompt injection — and an honest account of why every known mitigation reduces risk rather than eliminating it.INTERMEDIATEDirect vs IndirectLearn to tell direct attacks from the sneakier indirect kind, where the payload hides in content your app fetches — with concrete examples of each.INTERMEDIATEJailbreak vs InjectionClear up the most common mix-up in LLM security: how a jailbreak (bypassing safety) differs from prompt injection (hijacking an app), and why each needs different defenses.BEGINNERPrompt LeakingLearn how attackers coax a hidden system prompt out of an app, why instructing the model to keep it secret rarely works, and what to never put in a prompt.INTERMEDIATEInjection in AI AgentsUnderstand why prompt injection escalates from a text problem to an action problem the moment a model can call tools, and the agent-specific defenses that follow.INTERMEDIATEIsolating Untrusted InputLearn the concrete techniques for separating your instructions from untrusted content in a prompt — delimiters, spotlighting, encoding — and their honest limits.INTERMEDIATE