Cortif AI and Forvis Mazars: Advancing AI Governance and Compliance for the Enterprise

As artificial intelligence becomes embedded into critical business processes, organizations face a new challenge: how to deploy AI systems responsibly while maintaining security, transparency, and regulatory compliance.

To address this growing need, Cortif AI is working toward a partnership with Forvis Mazars to bring AI governance, compliance, and operational control to enterprise AI systems.

Through ongoing discussions and technical collaboration, both organizations are exploring how Noah, Cortif's AI control plane, can support Forvis Mazars' initiatives in AI governance, data protection, and regulatory compliance.

Forvis Mazars: A Global Leader in Audit, Risk, and Advisory

Forvis Mazars is a global professional services network specializing in audit, tax, advisory, risk management, and digital transformation.

The firm operates in more than 100 countries and employs tens of thousands of professionals worldwide, advising major corporations, financial institutions, and public organizations.

In France, Forvis Mazars plays a major role in helping enterprises navigate complex regulatory landscapes, particularly in areas such as:

data protection and privacy
risk and compliance management
financial and operational auditing
digital transformation and data strategy

As artificial intelligence becomes increasingly integrated into enterprise decision-making systems, Forvis Mazars has expanded its capabilities in AI governance, algorithm auditing, and compliance frameworks.

These services help organizations ensure that AI systems are transparent, accountable, and aligned with evolving regulatory standards.

A Shared Focus on Responsible AI

The collaboration between Cortif AI and Forvis Mazars has developed through several working sessions with Lionel Capel, Manager of Data Privacy and AI Compliance at Forvis Mazars in France.

Lionel Capel specializes in data protection, AI governance, and regulatory compliance, and holds multiple certifications including DPO certification and ISO 27001 and ISO 27005 risk management standards.

Over the course of several technical discussions, both teams explored how Cortif's Noah platform could support Forvis Mazars' efforts to help organizations deploy AI systems that meet both operational and regulatory requirements.

With multiple collaborative sessions already completed, both organizations are moving toward formalizing a partnership aimed at strengthening enterprise AI governance capabilities.

The Growing Need for AI Governance

Across industries, organizations are rapidly adopting machine learning models and generative AI systems.

However, deploying these systems in production introduces new risks:

lack of visibility into model behavior
uncontrolled operational costs
potential regulatory violations
security vulnerabilities such as prompt injection
limited mechanisms for enforcing governance policies

Regulatory frameworks such as the European AI Act are accelerating the need for organizations to implement robust monitoring, auditing, and governance infrastructure.

This is where Cortif's platform, Noah, provides critical value.

Noah: The Control Plane for AI Systems

Noah is an infrastructure platform designed to help organizations monitor, secure, and optimize AI systems in production environments.

Rather than interacting directly with model providers, applications connect through Noah, which acts as an AI control plane that manages how models are accessed and operated.

This architecture provides a centralized layer for:

AI observability and monitoring
model routing and optimization
governance enforcement
security policy validation
system reliability testing

For organizations concerned with AI compliance, this level of infrastructure provides both operational control and auditability.

LLM Gateway: Observability and Control

At the core of Noah is its LLM Gateway, which serves as the centralized entry point for all AI model requests.

The gateway enables organizations to:

monitor model usage across systems
track token consumption and costs
observe model latency and performance
dynamically route requests between models

This visibility allows organizations to understand how their AI systems behave in production, a key requirement for compliance and governance.

Policy Enforcement Gateway: Securing AI Systems

One of Noah's newest components is the Policy Enforcement Gateway (PEG), designed specifically to enforce governance policies around AI usage.

PEG acts as a real-time interception layer between users and AI agents.

Before any prompt reaches an AI system, PEG evaluates the request against the organization's policy framework.

If the request violates the policy rules, it is blocked automatically and a structured response is returned. If it complies, the prompt is forwarded to the AI system transparently.

This architecture allows organizations to enforce governance and compliance policies directly within the AI infrastructure layer.

Supporting AI Compliance and Algorithm Governance

Forvis Mazars has been actively developing frameworks and advisory services focused on AI governance and algorithmic compliance.

These initiatives aim to help organizations address challenges such as:

algorithm transparency and explainability
regulatory compliance for automated decision systems
data protection and privacy risks
operational governance of AI systems

By combining Forvis Mazars' expertise in regulatory frameworks and compliance auditing with Cortif's AI infrastructure platform, organizations can gain both technical and regulatory assurance when deploying AI systems.

Building the Future of Responsible AI

As artificial intelligence becomes more deeply integrated into enterprise operations, organizations must move beyond simple model integration.

They must implement operational infrastructure that ensures AI systems remain secure, reliable, and compliant over time.

The collaboration between Cortif AI and Forvis Mazars represents an important step toward building this infrastructure.

By combining AI governance expertise with advanced AI operational tooling, both organizations aim to help enterprises deploy AI systems that are not only powerful, but also transparent, secure, and accountable.

As discussions progress toward a formal partnership, this collaboration highlights a broader industry shift:

the future of enterprise AI will depend as much on governance and infrastructure as on the models themselves.