overview

Artificial intelligence (AI) is now deeply integrated across industries and everyday life, driving innovation, automating processes, and shaping decisions at scale. While this rapid adoption brings immense opportunities, it also poses significant risks. Without responsible design and robust safety mechanisms, AI can amplify harmful content, spread misinformation, perpetuate bias, and compromise privacy. In high-stakes environments, opaque or unpredictable AI behavior can lead to severe consequences for individuals and organizations alike.

Infosys BPM’s responsible AI (RAI) framework transforms these challenges into opportunities for trust and safety. By embedding principles of fairness, accountability, and transparency into AI systems, RAI ensures that algorithms behave predictably, ethically, and in alignment with societal values. These guardrails make AI not only powerful but also trustworthy, creating a foundation for sustainable innovation.

Key stats

100+ AI experts

38+ Global delivery centers

30+ Global clients in AI trust & safety

our solutions in responsible AI

According to a KPMG Global Study, 66% of people use AI regularly, yet only 46% trust these systems, and 70% believe stronger regulations are necessary to ensure safety and accountability. Privacy concerns remain significant, with just 47% of respondents confident that AI companies adequately protect personal data, as highlighted in the Stanford AI Index. Responsible AI is the foundation for building trust with users, stakeholders, and society at large, making AI not just intelligent, but safe, ethical, and accountable.

our comprehensive responsible AI and AI safety solutions suite

AI safety solutions

Area	Topics	Challenges	Solutions
Exploratory data analysis	Privacy guardrails: Data security and encryption Data anonymization	PII present in training data PII present in unstructured documents while interacting with LLMs Handling use case-specific PII & SPII	PET techniques applied in training & testing data PII redacting technics on documents, images, and videos PII customization according to use cases
Model fine-tuning and review	Adversarial testing Red teaming Bias identification Hallucination identification Explainability for RAG Prompt moderation	Vulnerabilities in LLMs exposing unsafe content Lack of transparency Training data is insufficient to represent all groups Uncertainty in LLM output	TAP & PAIR methods in red teaming to identify model vulnerabilities Enabling structured thinking for reasoning of AI/LLM Data re-sampling techniques to avoid bias and improve diversity
Model inference and monitoring	Model security Model compliance	Model drift due to data changes over time Principle and policies change across regions over time	Logging the data into telemetry for auditing and reviewing AI systems Establishing compliance team or model compliance

red teaming
AI tools and platforms

red teaming

AI tools and platforms

why us?

Enterprises choose Infosys to build and scale responsible AI (RAI) because we operationalize trust across the AI lifecycle. Our Scan–Shield–Steer framework, EU AI Act & NIST AI RMF alignment, and open source Responsible AI toolkit deliver guardrails, governance, and audit ready evidence for GenAI and Agentic AI. With deep ecosystem partnerships and proven delivery, we help you launch AI faster, by being secure, fair, explainable, and compliant by design.

End-to-end RAI operating model, “Scan–Shield–Steer” to map risks and obligations, embed technical guardrails, and orchestrate governance mechanisms.
Infosys is the world’s first IT services organization to achieve ISO/IEC 42001:2023 certification, the international standard for Artificial Intelligence Management Systems (AIMS).
Regulatory ready by design (EU AI Act, NIST AI RMF, ISO/IEC 42001)
Open source responsible AI toolkit (faster, transparent guardrails)
First class integration with major hyper-scalers, and governance overlays (e.g., Watsonx.governance)
Red teaming & agentic AI risk mitigation: We apply threat modeling, automated/adversarial testing, and agent policy sandboxes to stress test LLMs and AI agents
Always on market & regulatory intelligence, monitoring new laws, incidents and vulnerabilities
Recognitions & thought leadership: Infosys was honored with The Economic Times Responsible & Ethical AI Leadership Award, validating our industry leadership and commitment to building trustworthy AI ecosystems.
We pair ethics with quality, robustness, and observability, so AI remains reliable and repeatable in production.