Introductory

How OWASP’s GenAI Security Project keeps up with the pace of AI/Agentic changes, with Scott Clinton

This week, we chat with Scott Clinton, board member and co-chair of the OWASP GenAI Security Project. This project has become a massive organization within OWASP with hundreds of volunteers and thousands of contributors. This team has been cranking out new tools, reports and guidance for practitioners month after month for over a year now.

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Introduction – OWASP GenAI Security Project – Threat Defense COMPASS

The GenAI Security Project’s Threat Defense COMPASS consolidates AI threats, vulnerabilities, defenses, and mitigations into a unified AI Threat Resilience Strategy Dashboard. COMPASS enables organizations to evaluate everything from external adversaries using AI tools to internal deployments of Microsoft Copilot, Google Gemini, and proposed GenAI or Agentic projects. Designed for iterative use, COMPASS serves as

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Agentic AI Capture The Flag (CTF) – FinBot DEMO: Goal Manipulation

Explore the OWASP Agentic AI CTF through a hands-on walkthrough of the FinBot demo. This session highlights the “goal manipulation” challenge, revealing how attackers can exploit agentic AI systems and showcasing strategies to identify and defend against these advanced threats. FinBot is part of the OWASP GenAI Security Project’s Agentic Security Initiative, created to equip

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OWASP AI Agentic Top 10 Project Kick-off – Global Livestream

The OWASP Gen AI Security Project – Agentic Security Initiative, brought together community members, experts and contributors virtually and in 4 location around the globe (London, Las Vegas – Black Hat, Athens, and TelAviv to kick-off work of refining the OWASP Agentic Threats and Mitigations, to begin to distil into a prioritized OWASP Top 10

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Why MCP Agents Are the Next Cyber Battleground

As agentic AI systems transition from conceptual models to real-world deployments, MCP (Model Context Protocol) agents are emerging as a critical interface layer — and the next major attack vector. These autonomous, API-driven actors aren’t just executing tasks; they’re reshaping how LLMs interact with tools, data, and infrastructure across enterprise environments. In this webinar, we’ll

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Agentic Open Workshop – Agentic AI Threat Modeling

Session 3 of 7 The session delves into agentic threat modeling, emphasizing the vulnerabilities in multi-agent AI architectures. It covers attack scenarios like memory manipulation and tool misuse, illustrating how malicious actors can exploit AI agents to cause financial losses or data breaches. MCP-related threats were also explored, including tool description manipulation, prompt injections, and

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Open Agentic Workshop – Insecure Code Examples

Session 4 of 7 The session focused on the “Insecure Code Examples” initiative led by Allie Howell, highlighting efforts to identify vulnerabilities in agentic frameworks through hands-on testing and community engagement. The initiative includes a repository of insecure code samples built using frameworks like Langgraph, Autogen, CrewAI, and others. A recent hackathon in New York

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Open Agentic Workshop – Securing Agentic Apps

Session 6 of 7 The session focused on secure agentic applications, led by experts from AWS, Intuit, and Pangea. It outlined a methodology for identifying threats in agentic AI systems, emphasizing development lifecycle stages, key components, architectures, and operational environments. The discussion highlighted key threats such as memory poisoning, tool misuse, and identity spoofing in

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Agentic Open Workshop – Agentic Threat Modeling Framework

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,

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Agentic Open Workshop – Agentic Threat Modeling Framework