Open Source Summit India 2025

In the face of rapidly evolving global regulations, OSPOs are uniquely positioned to become strategic enablers of compliance, transparency, collaboration and trust within organizations. From the EU CRA, U.S. Executive Order and India’s recent SEBI regulations, the pressure to demonstrate responsible software reuse and secure supply chains is intensifying across industries.

Large organizations widely consume open source technologies but lack the necessary open source culture or governance.

The presentation explores the growing threat of quantum computers to traditional cryptographic algorithms used in embedded Linux systems. It begins with an overview of current security algorithms (RSA, ECC, AES) and their vulnerabilities to quantum attacks.

Supporting a device in a massive and ever-evolving project like AOSP isn’t just about getting it to boot—it’s about keeping it alive through a relentless churn of upstream changes. Whether it’s adapting to the latest AOSP updates, syncing with evolving Linux kernel versions, or integrating changes from external projects, the challenge is real—and constant.

The EFI Development Kit (EDK II) is a powerful and flexible framework is a modern, open-source, cross-platform firmware development environment for the Unified Extensible Firmware Interface (UEFI) essential for modern server platforms.

Enterprise adoption of GenAI, to unlock its full potential is hindered by costs and a talent gap which needs to span AI and Cloud technologies. The Open Platform for Enterprise AI seeks to democratize AI, filling a talent gap and illustrating that one can deliver low latency edge solutions and cost-effective cloud solutions using a variety of hardware. Towards this, OPEA brings together state of the art models, containerized microservices for guardrails, vector databases, model servers and more, easily customizable blueprints for common use cases such as Chat Bots, Document Summarization, Agents to name a few, a no-code/low-code studio to create GenAI pipelines, cloud deployment and evaluation tooling. OPEA currently supports Intel, AMD, and Nvidia hardware and can be deployed in the cloud, on-prem, or on a shrink-wrapped appliance. It integrates with identity and authentication systems and includes tooling for monitoring and visualization, which enable delivering enterprise grade applications, accelerating transition from proof-of-concept to production. Come learn about OPEA, use it, influence it, make your mark on democratizing GenAI.

This session will be about my current and ongoing experience at Texas Instruments where I have been working on enabling Zephyr for AM243x platform, a multiprocessor heterogeneous evaluation module with both Cortex-R and Cortex-M cores and all the challenges I have faced in the process. This includes adding board support, device trees, device drivers, as well as testing the peripherals to ensure proper function on Zephyr. I will also be walking through the process of writing a device driver and the device driver model for Zephyr, and my experience and the challenges I encountered in doing so. The talk will also include the gaps and challenges involved in booting a heterogeneous SoC, the limitations I faced with MCUBoot as a bootloader for Zephyr, the potential alternatives, and the solution involving TI's RTOS bootloader. The aforementioned topics may serve as a reference guide for enabling more heterogeneous SoCs in the future.

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.