In this session, we’ll take a closer look at the security risks that come with integrating LLMs into applications. LLMs can be powerful allies in cybersecurity — helping with detection, testing, and protection — but they can just as easily be exploited for attacks. We’ll explore key threats such as prompt injection, jailbreaking, and agent-specific vulnerabilities, and discuss why they are currently seen as the most pressing risks. Finally, we’ll look at defense strategies, from prompt-level safeguards to system-wide controls, and show how best practices can make a real difference in securing AI systems.