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CYC26 / AI

When AI Gets Manipulated: Security Risks in LLM Applications

Generative AI applications are rapidly being integrated into enterprise systems, yet they introduce a new class of security vulnerabilities known as prompt injection attacks. These attacks manipulate language models to ignore system instructions, leak sensitive information, or perform unintended actions. This talk explores how prompt injection works, real-world attack scenarios, and practical mitigation strategies developers can implement to secure GenAI applications.

Session abstract

What you’ll learn

Generative AI applications are rapidly being integrated into enterprise systems, yet they introduce a new class of security vulnerabilities known as prompt injection attacks. These attacks manipulate language models to ignore system instructions, leak sensitive information, or perform unintended actions. This talk explores how prompt injection works, real-world attack scenarios, and practical mitigation strategies developers can implement to secure GenAI applications.