Insights
Ensuring Secure and Reliable AI Adoption
As artificial intelligence (AI) adoption accelerates across enterprises, traditional quality assurance (QA) approaches may not adequately address emerging AI risks. AI-first quality engineering (QE) requires transparency, security, and governance throughout the AI lifecycle.
Infosys AI Assurance enables organizations anticipate, govern, and mitigate risks across generative AI (GenAI) and agentic AI systems. The framework supports secure, responsible, and scalable enterprise AI adoption.
This brochure highlights how Infosys AI Assurance brings together the Scan, Shield, and Steer principles within the AI3S framework for robust risk management. The framework includes the following key features:
Continuous Risk Visibility through Scan
Identifies vulnerabilities, monitors AI model drift, ensures regulatory compliance, and establishes production readiness.
Embedded AI Safeguards through Shield
Strengthens security, resilience, and risk mitigation throughout the AI lifecycle.
Governance with Steer
Enables policy management, regulatory readiness, and enterprise-wide AI oversight at scale.
Platform-led Assurance Capabilities
Supports LLM evaluation, GenAI testing, fairness assessments, hallucination detection, and governance-focused validation.
AI-first QE Approach
Addresses trust, security, observability, and accountability challenges beyond traditional quality assurance practices.
Read the brochure: AI You Can Trust: Infosys AI Assurance for Secure, Responsible, and Scalable AI Adoption
