Cognizant Neuro AI Trust
by Cognizant
Continuous AI governance and real-time assurance for every model, agent and application in the enterprise
Cognizant Neuro AI Trust is an enterprise AI governance and observability platform that monitors models, agents and AI applications at runtime and enforces policy before risky decisions execute. It is built for CIOs, chief risk officers and compliance leaders who must scale AI while proving control against the EU AI Act, NIST AI RMF and ISO/IEC 42001.
Launched on July 1, 2026, Cognizant Neuro AI Trust is a governance platform that gives enterprises continuous oversight of their entire AI estate rather than point-in-time model audits. It is architected as two integrated layers: a control layer, in which lightweight 'Guardian Agents' embed alongside models and agents to capture behavioral, performance and security signals and stream them into unified observability with end-to-end trust scores; and an intelligence layer, which evaluates every interaction at runtime against configured guardrails and decision logic, and can permit, warn or block an action outright. Because policies are loaded at runtime, compliance and risk teams can update governance rules without code changes or redeployment, and high-risk decisions can be paused and routed to a human reviewer for approval. The platform maintains audit-ready records with full traceability and interaction replay for regulatory reconstruction, and its configurations map to NIST AI RMF, the EU AI Act, OECD Principles, ISO/IEC 42001 and custom internal policies. Neuro AI Trust is built on the Cognizant Trust framework, integrates with the Neuro AI Multi-Agent Accelerator, and dedicated Guardian Agent networks are used to detect coordination failures and emergent risks across multi-agent systems. Cognizant has already deployed it in production on its own agentified intranet serving roughly 350,000 employees, and targets financial services, healthcare and life sciences, insurance, telecommunications, media and entertainment, and retail and consumer goods.
At a Glance
- Category
- Governance & Security
- Pricing
- Contact for pricing
- Target Market
- CIOs, CTOs, Chief Risk Officers, Compliance and Audit Leaders, Heads of AI
- Headquarters
- Teaneck, New Jersey, United States
Key Features
- ✓Guardian Agents
Lightweight monitoring agents embedded across models and agents that capture behavioral, performance and security signals and detect coordination failures or emergent risk in multi-agent networks.
- ✓Real-time policy enforcement
The intelligence layer evaluates each interaction at execution time and can permit, warn on, or block an action that violates configured guardrails.
- ✓Dynamic governance without code changes
Policies and rules are loaded at runtime so compliance teams can change governance immediately without redeploying the underlying AI system.
- ✓End-to-end observability and trust scores
Full-lifecycle visibility into model behavior, cost, sustainability and agent interactions, summarized as comprehensive trust scores.
- ✓Human escalation routing
Higher-risk decisions are automatically paused and routed to a human reviewer for approval before proceeding.
- ✓Audit-ready records with replay
Every interaction is logged with full traceability and can be replayed to reconstruct decisions for regulators or internal audit.
Capabilities
Use Cases
- •Regulated-industry AI compliance
Financial services, insurance and healthcare enterprises map runtime AI behavior to EU AI Act, NIST AI RMF and ISO/IEC 42001 obligations with audit-ready evidence.
- •Governing enterprise multi-agent systems
Guardian Agent networks monitor agent-to-agent interactions to surface coordination failures and emergent risks that single-model monitoring misses.
- •Employee-facing agentic intranet oversight
Cognizant runs the platform across its own agentified intranet serving approximately 350,000 employees.
Ideal For
Best For
- ✓Proving EU AI Act, NIST AI RMF and ISO/IEC 42001 compliance for AI in production
- ✓Runtime observability and trust scoring across a large multi-agent AI estate
- ✓Blocking or escalating high-risk AI decisions to human reviewers before they execute
- ✓Updating governance policy without redeploying AI applications
Market Analysis
Pros
- ✓Maps directly to the specific regulatory frameworks enterprise risk teams are audited against
- ✓Inline enforcement and human escalation, not passive observability
- ✓Backed by a systems integrator with 357,600 employees and $21.1B in 2025 revenue that can staff deployments
- ✓Already battle-tested internally at large scale
Cons
- ✗No published pricing or self-service path
- ✗Deployment options and integration surface are not publicly documented
- ✗Likely pulls buyers toward broader Cognizant services engagements
Pricing
Enterprise
Contact for pricing
- ✓Control layer with Guardian Agents
- ✓Intelligence layer runtime policy enforcement
- ✓Regulatory framework mappings (NIST AI RMF, EU AI Act, OECD, ISO/IEC 42001)
- ✓Audit-ready records and interaction replay
No public price list; Cognizant sells Neuro AI Trust as an enterprise platform engagement.
Sources
This page was written from 4 sources, 2 on domains other than cognizant.com.
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