Dealing with increasingly complicated agents - Neural networks - Practical AI

Topics in this episode

Neural networks Computer vision Artificial intelligence Machine Learning Deep Learning changelog

Episode notes

As AI systems move from simple chatbots to complex agentic workflows, new security risks emerge. In this episode, Donato Capitella unpacks how increasingly complicated architectures are making agents fragile and vulnerable. These agents can be exploited through prompt injection, data exfiltration, and tool misuse. Donato shares stories from real-world penetration tests, the design patterns for building LLM agents and explains how his open-source toolkit Spikee (Simple Prompt Injection Kit for Evaluation and Exploitation) is helping red teams probe AI systems. Featuring: Donato Capitella - LinkedIn , X Chris Benson - Website , LinkedIn , Bluesky , GitHub , X Daniel Whitenack - Website , GitHub , X Links: Reversec Sponsors: Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows - all in one global collaboration layer. Start building at AGNTCY.org . Shopify - The commerce platform trusted by millions.