OWASP BASC 2025

The proliferation of generative artificial intelligence (GenAI) agents introduces unprecedented security challenges to modern organizations. As these autonomous systems increasingly generate content, make decisions, and execute actions with minimal human oversight, traditional perimeter-based security approaches prove inadequate. This paper examines the critical intersection of Zero Trust Architecture (ZTA) and GenAI agent deployment, proposing a framework for secure AI integration in enterprise environments. The rapid adoption of Generative AI (GenAI) presents unique security challenges that organizations must address while maintaining development velocity. This presentation provides practical strategies for building secure GenAI applications, with a focus on AWS services like Bedrock and Amazon Q. We introduce a comprehensive security framework that addresses three critical areas: threat modeling for GenAI systems, secure integration patterns, and robust output validation mechanisms. Through real-world case studies, we’ll demonstrate how to identify and mitigate GenAI-specific vulnerabilities, including prompt injection attacks and data leakage risks. Attendees will learn concrete techniques for securing their entire GenAI pipeline, from input validation to output verification, with an emphasis on protecting sensitive information and preventing model hallucinations with an emphasis on speed and efficiency of the SDLC. The presentation includes hands-on examples of implementing security controls in GenAI applications, featuring code samples and architecture patterns that can be immediately applied. Security professionals and developers will gain practical knowledge about automated security testing for GenAI systems, session isolation techniques, and effective output validation strategies. By the end of this session, attendees will have actionable insights for accelerating their GenAI initiatives while maintaining enterprise-grade security standards. Presentation Importance: There is a top down push for organizations to implement GenAI and quickly. As organizations rush to adopt GenAI technologies, they face unique security challenges that traditional cybersecurity approaches may not adequately address. This presentation offers critical, actionable insights for implementing robust security measures in GenAI systems, with a specific focus on AWS services like Bedrock and Amazon Q. By providing practical strategies, real-world case studies, and hands-on examples, this presentation equips security peeps and developers with the knowledge needed to balance innovation with security and quick deployments.