[APJ] Securing AI Apps: Detect and Stop Real-World LLM Threats - Seguridad Mania.com - España y América Latina

GenAI is transforming how we build and use applications – but it’s also creating new opportunities for attackers. As organizations rush to deploy AI-powered chatbots, copilots, and customer interfaces, they’re expanding their attack surface with risks traditional AppSec tools can’t see or stop. Join Rapid7’s Ray Cochrane for a deep dive into the vulnerabilities lurking inside AI-powered applications – and how Exposure Command is built to find and fix them fast. You’ll learn how to: - Understand the unique risks introduced by GenAI-powered applications, including prompt injection, plugin abuse, and data leakage. - See how AI Attack Coverage in Exposure Command continuously tests and validates LLM interfaces using real-world attack techniques. - Explore practical use cases – like securing customer-facing chatbots – and how teams can accelerate remediation with Attack Replay, CI/CD integration, and contextual insights. Whether you’re scaling your AppSec program or looking to tame the chaos of modern, AI-driven risk, this session will help you stay one step ahead.