Open Source Summit India 2025

Multi-agent systems are revolutionizing industries, but their complexity introduces vulnerabilities from adversarial behaviors to privacy breaches that can undermine trust. How can we protect these systems without curtailing their transformative potential? In this session, we’ll explore best practices for identifying and mitigating unique security and safety risks, while preserving open source innovation. Through real-world examples, learn how to spot adversarial threats, prevent data leakage, and integrate robust governance structures that balance compliance and creativity. We’ll also demonstrate proven techniques and open source tools for safeguarding multi-agent systems, from model validation and continuous monitoring to ethical oversight and regulatory alignment. Whether you’re an AI developer, data scientist, or open source maintainer, you’ll gain concrete strategies to future-proof multi-agent AI, fostering an environment where innovation thrives without compromising security or trust.