
Infosys teams up with Linux Foundation for responsible AI


Indian IT services major Infosys on Monday announced a partnership with Linux Foundation Networking (LFN) to create two new networking projects that will focus on the development of domain-specific and responsible Artificial Intelligence (AI) for the networking sector.
LFN is the largest set of open-source networking projects in the world formed by a broad industry coalition.
In February, Infosys launched its open-source 'Responsible AI' toolkit to address various risks and ethical concerns - as part of its Topaz AI offerings. The Bengaluru-based firm has now contributed its Responsible AI Toolkit and AI application development framework to the new projects, dubbed Salas and Essedum.

Salus “offers advanced technical guardrails to detect and mitigate AI risks like bias, privacy breaches, and harmful content, while enhancing model transparency,” according to LFN, and will be powered by Infosys’s Responsible AI Toolkit. Its work will include the development of APIs related to security, privacy, explainability, safety, fairness and bias. It will be customisable and designed to be integrated across cloud and on-premises platforms to support diverse AI models and agentic AI systems.
Essedum, meanwhile, will use Infosys’s AI application development framework to “accelerate the integration of AI data, models, and applications within the networking industry”. It will also make use of several existing LFN activities, namely Thoth (data anonymisation) from the Anuket project, the AI Task Force (data sharing platform initiative), and the AI Framework seed code. Essedum covers several “essential layers for building AI-powered networking applications”, including data sharing and pre-processing, domain-specific AI tools and pipelines and an AI application building framework.
Mohammed Rafee Tarafdar, CTO at Infosys, said that the company is “deeply committed to advancing innovation that solves complex challenges while upholding transparency, fairness, and trust… With our strong AI capabilities, powered by Infosys Topaz, we actively support this endeavour, helping organisations harness domain-specific AI responsibly and effectively across global networks.”

Arpit Joshipura, general manager for networking, edge and IoT at the Linux Foundation, added that “by introducing accessible solutions for Responsible AI and integrating data sharing, domain-specific AI tools, and application development under one roof, we are enabling the industry to build smarter, more efficient networks”.
Last month, at the SUSECON 2025 event in Orlando, US, open-source provider SUSE announced a collaboration with Infosys to create a new solution aimed at facilitating the adoption of AI for businesses of all sizes.
This initiative builds on SUSE's long-standing partnership with Infosys, to help their customers in various domains including accelerating private cloud adoption, multi-Linux management, container as a service, and SUSE Linux Enterprise Server for SAP applications.

The solution integrates SUSE AI, a secure open infrastructure platform designed for AI workloads, with Infosys's systems integration solutions based on its Topaz AI offerings. Infosys Topaz is an AI-first set of services, solutions, and platforms using generative AI technologies.
An Accenture survey published in January shows that businesses are not just treating responsible AI as a mere compliance issue, but have now also started viewing it as a key contributor to AI-related revenue growth for their firm.
According to the findings, 43% of surveyed companies said that responsible AI is an important contributor to protecting their brand's value, while 24% of firms view responsible AI as simply a 'cost of doing business'. The survey respondents predicted that when a company becomes a pioneer in responsible AI, its AI-related revenue, the total revenue generated by AI-enabled products and services, increases by 18%, on average.
