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[>_] ROOM · Cybersecurity
Multi-Turn and Context-Building Injection Attacks
Learn how attackers use multi-turn conversations to gradually bypass AI guardrails through context manipulation and semantic grooming.
Room tasks
1What is a Multi-Turn Attack and Why Single-Message Filters Miss It
2Building Malicious Context Across a Conversation
3Combining Direct and Indirect Techniques
Frequently Asked Questions
What is multi-turn prompt injection?
It spreads an attack across several messages, building context step by step until the model accepts a request it would have refused outright. Each message alone may look harmless.
What is semantic drift in this context?
Semantic drift is the gradual shift of a conversation's meaning toward restricted topics. Because every step is only a small change, guardrails that check each message individually may never notice it.
How can I defend against context-building attacks?
Evaluate whole conversations, limit how much prior context is trusted and test with multi-turn scenarios. The free Codelivly room shows both the attack pattern and these defenses.