Securing AI Agent Generated Code with Project CodeGuard

Description

We will discuss how to secure AI Agent-Generated Code with Project CodeGuard and how to protect Vibe Coding using open-source tools. Project CodeGuard: Security Rules for AI Coding Agents https://github.com/project-codeguard/rules Speakers: Omar Santos is a Distinguished Engineer at Cisco focusing on artificial intelligence (AI) security, cybersecurity research, incident response, and vulnerability disclosure. He is the co-chair of the Coalition for Secure AI (CoSAI) and a board member of the OASIS Open standards organization. Omar is also the chair of the OpenEoX and the Common Security Advisory Framework (CSAF) technical committee. His work led the creation of the CSAF ISO standard. Ramraj Bishnoie is an AI/ML Software Engineer at Cisco, where he's part of the AI Security Engineering (ASE) team tackling one of today's most critical challenges: making AI both secure and a powerful tool for security. His work spans two crucial domains—hardening AI systems against emerging threats and building AI-powered solutions that strengthen Cisco's security ecosystem. Aaron Carter is a Machine Learning Engineer at Cisco, where he is actively involved in implementing AI security solutions. As part of the AI Security Engineering (ASE) team, he builds secure AI applications and leverages AI to enhance security capabilities across Cisco’s ecosystem, delivering tools that improve detection, response, and resilience. Thomas Bartlett is a Machine Learning Engineer at Cisco using AI to tackle difficult security problems at scale. As part of the AI Security Engineering (ASE) team, he works to transform core security workflows across Cisco’s products and platforms. His efforts focus on advancing prevention, elevating detection, and hardening defenses. Want more AI content? Check out Cisco DevNet AI Hub: https://developer.cisco.com/site/ai/?utm_source=video&utm_medium=referral&utm_campaign=codeguard