new Command Center helps enterprises trust and scale AI with confidence, providing real-time visibility and supporting continuous governance across all models, agents, and services. application
Cognizant announces “Cognizant Neuro”® AI Trust is a new platform designed to provide enterprises with continuous governance and real-time assurance across all their AI systems. As AI environments become more autonomous and complex, Neuro AI Trust aims to enable enterprises to monitor, manage, and control AI behavior and performance in real-time, enabling organizations to scale AI with confidence.
As enterprises deploy multiple AI models, multi-agent networks, and applications, visibility and risk management become increasingly difficult as systems continually evolve and interact with each other with increasing levels of human-defined autonomy. Governance approaches built for static systems cannot keep up with the dynamic nature of AI. According to Gartner ® *, “Organizations that have adopted an AI governance platform are 3.4 times more likely to achieve AI governance effectiveness than those without.” Cognizant believes this reinforces the need for a centralized platform that enables continuous, real-time monitoring of the entire AI system.
Neuro AI Trust addresses these challenges by introducing interoperable control and intelligence layers to enterprise AI. This layer is purpose-built to provide organizations with a way to centrally monitor and manage increasingly complex AI environments across a wide range of models and agents. The control layer aims to provide real-time observability of the entire AI system using Guardian Agent, continuously monitoring behavior, interactions, and outcomes, and providing clear visibility into system health, performance, security, and risk.
In parallel, the intelligence layer manages how these systems operate, evaluating interactions in real-time and enforcing policies configured through centralized decision-making, guardrails, and automated controls designed to align with business goals and regulatory requirements. Insights and enforcement actions from both tiers are brought together in a comprehensive dashboard, allowing organizations to identify issues early and take action with confidence, reducing operational, regulatory, and reputational risks. By combining these capabilities, we aim to enable adaptive monitoring of AI systems as they evolve and interact.
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“As agent AI moves into enterprise operations, the constraint is no longer functionality but trust. Technology leaders expect governance, accountability, and transparency to be addressed by AI platforms,” said Jennifer Hummel, research vice president of enterprise data and AI services at IDC. “Increasingly, organizations are turning to service providers of agent AI platforms, such as Cognizant Neuro AI Trust, that combine technology integration, managed deployment, and auditability as a strategic operating layer rather than a separate tool.”
The Neuro AI Trust platform has already been deployed internally across Cognizant’s agentized intranet, serving 350,000 employees.
“Neuro”® AI Trust was built to manage the entire system in which AI interacts in real-world operations, autonomously, continuously, and in ways that cannot be predicted by a single policy check. We know it works because we apply it to our own AI systems,” said Amir Banifatemi, Chief AI Officer at Cognizant.
Neuro AI Trust leverages specialized multi-agent networks embedded in both the intelligence and control layers to continuously assess AI systems, interactions, and workflows in real time. These agents operate across different domains such as policy enforcement, risk management, and governance, enabling system-wide visibility and coordinated control across complex AI environments.
Neuro AI Trust is designed to help businesses:
- Gain end-to-end observability for any AI system. Comprehensive trust scores and full lifecycle observability give operators clear visibility into model behavior, agent interactions, and outcomes across the entire AI stack, including early detection of model drift and adjustment risk across multiple agents.
- Deploy Guardian Agent for system-wide monitoring: A purpose-built multi-agent system continuously monitors agent interactions across steps, tools, and turns to detect coordination failures such as escalation loops, circular conflicts, risky tool use, and emergent patterns that would never surface with a single message check.
- Apply policies across AI interactions. The platform evaluates all AI interactions at runtime and returns acceptable, warning, or blocking results based on configurations that comply with frameworks such as NIST AI RMF, EU AI law, OECD principles, ISO/IEC 42001, and internal custom policies.
- Anticipate and surface risks before they escalate. Neuro AI Trust is designed to use signals from AI traces to predict potential policy violations early in the workflow lifecycle and move governance upstream.
- Update governance rules without changing code. Policies, policy packs, and risk thresholds are loaded dynamically at runtime, allowing compliance, legal, and risk teams to update controls as requirements evolve without having to wait for code releases.
- Escalate to a human if necessary. Risky or ambiguous decisions can be paused and routed to human reviewers with the full context needed to approve, reject, or request additional information before any action is taken.
- Build trust with audit-ready records. Audit-ready recording and replay views allow operators and auditors to reconstruct captured AI interactions in detail and understand what happened, why it happened, what policies were applied, and how the governance layer responded at each step.
Neuro AI Trust integrates with Cognizant’s extensive AI portfolio, including products such as Neuro.® AI multi-agent accelerators and other agent applications. Built on the Cognizant Trust™ framework, the Neuro AI Trust helps AI systems operate in a transparent, fair, secure, responsible and trustworthy manner, driving responsible adoption of AI at scale. This reflects Cognizant’s broader strategy as an AI builder. In short, we help businesses maintain accountability for AI in production by providing centralized oversight, trust, and governance.
