Infosys Responsible AI Toolkit, an Infosys Topaz Responsible AI Suite Offering
Overview
Making AI Secure, Ethical, and Open for all.
The Infosys Responsible AI Toolkit, an open-source offering, provides a collection of technical guardrails that integrate security, privacy, fairness, and explainability into artificial intelligence (AI) workflows. As part of the Infosys Topaz Responsible AI Suite, the toolkit helps developers build ethical and trustworthy AI systems. Designed for scalability and performance, it mitigates risks and ensures regulatory compliance as well as transparency in AI-driven decision-making.
Responsible AI is an ethical need and a strategic advantage, ensuring a safe, fair, and trusted AI ecosystem.
TALK TO OUR EXPERTSThe Responsible AI Toolkit leverages an intelligent assortment of defensive guardrails, which comprise of specialized AI models and shielding algorithms, designed and trained to detect and mitigate privacy breaches, security attacks, sensitive information leakages, biased output, harmful content, copyright infringement, hallucinations, malicious use, deepfakes and more. It improves transparency by highlighting the rationale behind generated outputs and embeds these checks without compromising on performance or user-experience and hardens AI models to be more resilient and aligned to responsible AI tenets.
The toolkit was offered to a cohort of institutions including startups, Infosys’ clients, academia, research institutions, industry bodies, civil societies, and government bodies during an extensive beta testing phase. The objective of the exercise was to incorporate feedback and strengthen the toolkit. These were also complimented by frequent market scans, that were conducted periodically on emerging threats and vulnerabilities. The beta tests were a resounding success, and the toolkit received wide acclaim from all agencies. We believe responsible AI is a shared responsibility, especially given the complexity of the AI value chain. To foster accountability and collaboration across the ecosystem, we have open-sourced the Infosys Responsible AI Toolkit.
By integrating Responsible AI by design across the lifecycle, Infosys Responsible AI Toolkit, we ensure that AI advancements foster trust and societal responsibility, maximizing impact, boosting return on investment (ROI), and driving business growth.
Solution Features
Supports all AI models, ranging from machine learning and deep learning to all types of generative AI models, ensuring flexibility and scalability across various use cases. Maintains consistent performance and reliability across various foundational AI models, ensuring predictable results and stability across different AI architectures.
The toolkit has been thoroughly tested and optimized for compute usage and reduce latency. The toolkit has the native intelligence to reduce the number of checks and parallelize them to improve efficiency.
It extends over native moderation and alignment mechanisms of models by covering a large base of threats and failures, like prompt injections, jail breaks including multimodal interactions.
Ensures safety, security, explainability, fairness, and trustworthiness by detecting AI hallucinations and biases.
Offers contextual flexibility, allowing enterprises to tailor the toolkit to specific requirements and industry demands. The modular design enables easy integration with all cloud providers as well as on-prem deployment offering flexibility for enterprises.
Provides access to multiple open-source models, enabling a variety of use cases from decision-making to content generation, ensuring adaptability for diverse needs.
Provides capabilities to simulate various threats on AI models and identify vulnerabilities.
User can monitor the performance of the toolkit, implement features like monitoring, auditing, configuring organization specific polices, and implement access control. The automated checks, reduce compliance burden for enterprises, thus streamlining governance.
Who is the Infosys Responsible AI Toolkit for?
Enterprises: Ensuring compliance, trust, and scalability
Large organizations face complex AI governance challenges across multiple teams and jurisdictions. Infosys Responsible AI Toolkit helps enforce regulatory compliance, standardize responsible AI practices, and mitigate operational risks. By ensuring fairness, explainability, and transparency in AI-driven decision-making, organizations can scale AI responsibly while building stakeholder trust.
Start-ups: De-risking AI innovation and accelerating market entry
Start-ups often struggle to balance rapid AI development with ethical considerations and compliance requirements. Infosys Responsible AI Toolkit helps streamline regulatory adherence, mitigate bias and security risks, and build trust with investors and customers. By embedding responsible AI principles from the outset, start-ups can accelerate time to market while avoiding legal pitfalls and reputational risks.
Academia: Advancing AI research and ethical education:
Universities and research institutions need standardized frameworks for ethical AI development. This toolkit supports fairness, bias detection, and compliance-aware AI research, enabling reproducible and responsible development. It bridges the gap between academic theory and industry practice, equipping students and researchers with the skills to develop ethical and transparent AI solutions.
AI communities: Promoting ethical AI adoption and collaboration
Open-source developers, policymakers, and AI communities play a key role in responsible AI adoption. This toolkit provides a unified framework for ethical AI development, fostering collaboration across sectors and educating practitioners on best practices. By promoting transparency and fairness, the toolkit strengthens public confidence in AI and supports the development of AI systems that align with societal values.
"Infosys' commitment to becoming an AI-first business and establishing the Responsible AI Office reflects bold innovation and ethical leadership. By going open source, Infosys is empowering enterprises, startups, and SMEs to leverage AI for groundbreaking advancements. Their Responsible AI Toolkit is a benchmark for technological excellence and when paired with a commitment to responsible practices and global sustainability can be an inspiring model for companies worldwide."
Joshua Bamford Head of Science, Technology and Innovation, British High Commission
"We congratulate Infosys on launching an openly available Responsible AI Toolkit, which will contribute to advancing safe and responsible AI through open innovation. Open-source code and open datasets is essential to empower a broad spectrum of AI innovators, builders, and adopters with the information and tools needed to harness the advancements in ways that prioritize safety, diversity, economic opportunity, and benefits to all."
Sunil Abraham Public Policy Director - Data Economy and Emerging Tech, Meta
"I am very happy to learn that Infosys has decided to open source their Responsible AI Toolkit. This will go a long way in making tools available for enhancing Security, Privacy, Safety, Explainability and Fairness in AI based solutions and also help in mitigating bias in AI algorithms and models. This is critical for developing safe, trusted, and responsible AI solutions. I am sure, startups and AI developers will greatly benefit from this Responsible AI Toolkit."
Abhishek Singh Additional Secretary Ministry of Electronics and Information Technology (MeitY), Government of India
How to Get Started
Infosys Topaz Responsible AI Toolkit is an open-source offering under the Massachusetts Institute of Technology (MIT) License and available on GitHub. Click the link below to explore the repository and its features.
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