Език: English
Generative AI has evolved far beyond chatbots. Today's AI agents can execute code, call external tools, access sensitive data, interact with Kubernetes clusters, and make decisions with minimal human intervention. As AI capabilities evolve, so does the attack surface, forcing security to keep pace.
Through a live hacking demo, we'll show how a trusted AI agent can be manipulated into performing unintended actions without exploiting a traditional software vulnerability. Using the attack as a foundation, we'll explore how AI security is evolving through the latest work of the OWASP GenAI Security Project, examining why securing AI is no longer just about prompt injection but also about agent autonomy, tool integrations, and trust boundaries. We'll conclude with practical security patterns, including least agency, runtime guardrails, scoped identities, and sandboxing, that can be applied to real-world AI systems.
You'll leave with a practical understanding of the evolving AI threat landscape and concrete techniques for building and securing AI-powered applications.
What attendees will learn
- Understand how AI security is evolving from LLMs to autonomous AI agents
- See a live attack against a modern AI agent and understand why it succeeds
- Learn how agent autonomy, tools, and trust boundaries create new security risks
- Explore the latest guidance from the OWASP GenAI Security Project and the OWASP Top 10 for Agentic Applications
- Apply practical security patterns to build more secure AI-powered applications