Session 4 of 7 The sessions collectively addressed agentic AI threat modeling, focusing on vulnerabilities in multi-agent systems across various platforms, including Palo Alto Networks, Cisco, and the Maestro framework.  Key topics included memory manipulation, tool misuse, and identity misconfigurations, with specific attack scenarios illustrating how malicious actors can manipulate agents to perform unauthorized actions, […]

Session 7 of 7 The session on the Agentic AI Security Landscape Report outlined its structure and objectives, targeting CSOs, AI developers, security researchers, and policymakers. The report is divided into four pillars: regulatory context, incident analysis, solutions ecosystem, and future trends. It emphasizes the rapidly evolving landscape of agentic AI, the challenges of fragmented

Session 2 of 7 The session outlines a fictional case study involving “Finbot,” an AI finance assistant that was manipulated through prompt injection attacks, leading to fraudulent payments and data breaches. The presentation highlights how attackers poisoned Finbot’s memory, manipulated tools to execute unauthorized actions, and exploited identity misconfigurations to escalate privileges. It underscores the

Session 1 of 7 The introductory session for the Agentic Workshop outlines the objectives and structure of the Agentic Security Initiative (ASI), emphasizing the importance of community engagement and practical application. Led by project co-leads, the session introduces the initiative’s focus on identifying agentic AI threats, developing security guidelines, and providing practical tools for threat