Zensar Technologies, part of the RPG Group, has introduced ZenseAI.AssureAI, a comprehensive AI assurance and quality engineering solution designed to help enterprises test, validate, monitor, and govern AI systems-including classical machine learning, generative AI, and agentic AI-throughout their lifecycle. With the increased use of artificial intelligence systems in critical business operations, the solution is designed to address the shortcomings of the current software testing approach through the integration of governance, quality, and risk management from data preparation through production monitoring. This solution is built around four main pillars and leverages over 30 automated tests to offer solutions that include data quality and bias assurance, functional and model testing, AI governance, and non-functional testing for performance, scalability, security, prompt injection, adversarial resistance, and regulation. It also creates audit-ready artifacts as per the standards of the EU AI Act, NIST AI RMF, and ISO 42001.
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“Every enterprise is racing to deploy AI, but few have built the mechanisms needed to trust it at scale. ZenseAI.AssureAI provides a rigorous and repeatable framework to ensure AI systems are accurate, fair, secure, and compliant, not only at launch but throughout their operational lifecycle. As AI moves from experimentation to business-critical deployment, assurance becomes a strategic imperative,” said Manish Tandon, CEO and Managing Director, Zensar Technologies. Vijayasimha Alilughatta, Chief Operating Officer, Zensar Technologies, added, “Agentic and generative AI systems introduce new dimensions of risk that cannot be addressed through conventional testing approaches. ZenseAI.AssureAI combines automation, continuous validation, and governance-by-design to provide enterprises with the visibility and control needed to deploy AI responsibly and reliably at scale. This is a unique offering which combines deep capabilities of two of our service lines, Quality Intelligence and Data Engineering.”