Cognizant has announced the launch of Cognizant Secure AI Services, a new integrated offering built to address the unique security and governance challenges of enterprise-wide agentic AI. As organizations move beyond simple pilots to autonomous systems that interact with enterprise data and external APIs, they face risks—such as poisoned prompts, model tampering, and corrupted agent behavior - that traditional, deterministic cybersecurity models are ill-equipped to handle. Cognizant’s new suite aims to replace "assumed trust" with "provable trust," utilizing a dual-layer defense that protects systems both during the build phase and throughout real-time production.
Launch Date: May 7, 2026.
Core Objective: To secure, govern, and scale AI and agentic systems using a model of "provable trust."
Dual-Layer Defense: Engineers trust at build time (securing pipelines and models) and run time (continuous monitoring of AI behavior).
Key Foundations: Includes a secure Agent Development Lifecycle (ADLC), Cognizant Neuro® Cybersecurity, and the Cognizant Trust™ assurance layer.
Client Reach: Currently working with over 250 global enterprises in regulated industries to secure AI deployments.
Target Risks: Addresses deepfake-driven fraud, model tampering, poisoned prompts, and unsafe autonomous agent actions.
Traditional cybersecurity tools were designed for deterministic software, but AI is probabilistic and context-driven. Cognizant Secure AI Services bridges this gap by providing evidence-based traceability and continuous assurance. The offering ensures that as AI systems acquire the ability to reason and act autonomously, their behaviors remain within defined governance frameworks. This approach allows enterprises to mitigate the risk of "confidently wrong" actions that could otherwise trigger large-scale operational failures.
The service is built upon three proprietary foundations designed to provide a unified cybersecurity control plane:
Secure Agent Development Lifecycle (ADLC): A structured framework that embeds security protocols into every stage of AI development, from design and testing to deployment and change management.
Cognizant Neuro® Cybersecurity: A consolidated control plane that unifies signals from both AI systems and traditional enterprise infrastructure for rapid threat response and correlation.
Responsible AI (Cognizant Trust™): A continuous assurance layer that provides policy enforcement, traceability, and audit-supporting evidence to ensure compliance as AI scales.
By integrating best-of-breed technologies into a cohesive model, Cognizant addresses the growing market demand for holistic AI security. Practice directors at firms like Everest Group note that platforms offering a unified foundation—extending from standard cybersecurity to AI-specific defenses—are essential for real-world impact. For regulated industries such as finance and healthcare, these services provide the necessary audit frameworks to scale generative AI and autonomous agents while maintaining operational resilience.
"AI is fundamentally changing how enterprise systems behave. These systems are adaptive, context-driven and increasingly autonomous – and securing them requires continuous assurance across build and run-time environments." — Vishal Salvi, Global Head of Cognizant's Cybersecurity Service Line
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value. Through deep industry and engineering expertise, Cognizant builds full-stack AI solutions that amplify human potential and drive tangible outcomes for global enterprises.
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