Cognizant has launched a platform called Neuro AI Trust, intended to support real-time governance and continuous assurance across AI systems. As artificial intelligence (AI) environments become more autonomous and complex, the platform is designed to provide enterprises with tools to monitor and manage AI behaviour.
The deployment of multiple AI models and applications within enterprises has increased the complexity of risk management. Traditional governance frameworks designed for static systems may not adequately address the dynamic and interactive nature of AI. Neuro AI Trust aims to address these challenges by providing a centralised control and intelligence layer for overseeing AI environments.
Control and Intelligence Functions
The control layer of Neuro AI Trust provides real-time observability across AI systems. Using Guardian Agents, it monitors behaviour, interactions, and outcomes, providing insights into system health, performance, and security. The intelligence layer manages system operations by evaluating real-time interactions and enforcing policies through centralised decision-making and automated controls. This is intended to support alignment with business objectives and regulatory requirements.
An integrated dashboard allows organisations to identify potential issues early and take corrective action. This oversight is designed to help reduce operational, regulatory, and reputational risks and support governance as AI systems evolve.
Key Capabilities of Neuro AI Trust
- End-to-End Observability: Provides a consolidated view of AI systems, including agent interactions and outcomes, to help identify coordination risks.
- System-Wide Oversight: Guardian Agents monitor interactions to detect coordination issues, enabling timely response.
- AI Interaction Policy Enforcement: AI activities are evaluated at runtime against predefined frameworks such as the NIST AI RMF and other international standards.
- Proactive Risk Mitigation: Potential policy violations can be identified in advance, allowing governance rules to be updated without relying solely on code changes.
- Human Interventions: Higher-risk decisions can be escalated to human reviewers to add oversight and accountability.
The platform is built on Cognizant’s Trust framework and is designed to integrate with its broader AI portfolio. It is positioned as a tool for supporting operational transparency and accountability in enterprise AI systems.
