Cognizant partners with ServiceNow to deliver enterprise-scale AI governance and compliance

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Cognizant announced the integration of its Neuro AI Trust platform with ServiceNow's AI Control Tower, creating a unified system for AI governance across enterprise environments. The partnership addresses growing demand for compliance with frameworks like the EU AI Act, NIST AI RMF and ISO 42001, while enabling real-time monitoring of AI assets and automated risk controls throughout the AI lifecycle.

Cognizant and ServiceNow Unite to Address Enterprise AI Governance Challenges

Cognizant has announced the integration of Cognizant Neuro AI Trust with ServiceNow, combining forces to deliver what the companies describe as a continuous AI assurance infrastructure built for enterprise scale

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. The partnership targets a critical bottleneck facing organizations today: not AI deployment itself, but the ability to demonstrate trust and accountability across AI systems operating in regulated environments

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. The $25.2 billion IT services company is positioning this integration as a shift from periodic compliance checks to continuous, observable AI assurance that embeds governance controls directly into workflows

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How the Integrated Enterprise AI Platform Works

The integration combines ServiceNow's AI Control Tower with Cognizant's AI assurance infrastructure to create what both companies call a single, interoperable environment for managing AI deployments at scale

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. ServiceNow's AI Control Tower provides unified governance and observability across every AI system, agent and workflow, functioning as a command center for all AI assets and their associated permissions across the enterprise

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. Cognizant Neuro AI Trust extends this foundation by deploying a library of responsible AI and Guardian agents that apply fairness, safety, security, transparency and compliance principles throughout AI development and operation

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. The platform is built for interoperability, working with third-party systems to maintain consistent governance across different AI networks

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Real-Time Monitoring and Compliance Frameworks Built In

The platform includes pre-built compliance content for major regulatory frameworks including the EU AI Act, NIST AI RMF and ISO 42001, designed to compress the time from policy to operational implementation

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. Organizations gain real-time monitoring of AI assets with risk controls embedded into their workflows, replacing fragmented visibility and manual compliance processes

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. According to Sriram Kumaresan, Global Head of Cloud and Infrastructure Services at Cognizant, customers gain "not just a platform for visibility, but an active operating layer that helps organizations operationalize and monitor responsible AI behavior continuously as their systems learn, adapt and act"

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. The vision centers on immediate detection when AI systems fail or drift, with automated responses that demonstrate responsible operation

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Three-Phase Model Supports Faster AI Assurance and Compliance

The combined offering supports a three-phase operating model: plan with clarity, onboard with governance and operate with confidence

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. This approach is designed to support faster, more confident AI deployment while maintaining audit readiness and the ability to demonstrate measurable business value to leadership, regulators and customers

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. John Aisien, senior vice president and general manager of Central Product Management, Security & Risk at ServiceNow, emphasized that "AI Control Tower gives organizations a single command center to govern every model, every agent and AI asset, and their identities and associated permissions across the enterprise, not just inside ServiceNow"

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. For enterprises struggling to close the distance between AI investment and measurable outcomes, this integration aims to transform governance from a source of friction into a source of speed, shifting AI from operational and reputational risk into a trusted business capability

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. Cognizant stated that additional details about Neuro AI Trust's control and intelligence layers will be announced in the near future

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