Resources Center

The Incident That Must Not Happen

A regional electricity provider faced one board mandate above all: no public AI incident. This study shows how continuous runtime inspection turned a defensive posture into daily, provable governance across every AI system

From NIST to the EU AI Act

An enterprise already managing against NIST needed a bridge to binding EU AI Act compliance. This study shows how mapping one control across both frameworks turned existing NIST work into a head start rather than a second project.

Supply Chain Due Diligence

A NIS2-regulated enterprise had to prove it vetted its AI supply chain, not just claim it. This study shows how a recognized governance framework turned third-party AI due diligence into a documented, repeatable, auditable process.

When a Third of Your Staff Can Build Agents

An infrastructure operator gave a third of its workforce low-code AI builders and lost sight of what they made. This study shows how automatic discovery and employee training brought a sprawling shadow AI estate under governance. Focus keyword: shadow AI discovery and governance

The Board Wants AI Everywhere

A CISO at a global brand was told to deploy AI everywhere while owning the fallout. This study shows how quantifying AI risk in monetary terms turned a lonely judgment call into a board decision made with eyes open.

Governance as the Price of Entry

A consulting firm could not sell AI-enabled services into enterprises without governance certification. This study shows how ISO 42001 became the price of entry, shortening sales cycles and turning trust into a credential. Focus keyword: ISO 42001 for sales enablement

When Half a Team Disappears Into Questionnaires

A compliance team was losing half its week to repetitive AI questionnaires from customer procurement. This study shows how a single source of truth and AI agents collapsed that recurring tax into a review step.

Contributing to IEEE on Algorithmic Bias

How Modulos helped shape IEEE 7003-202, the first international standard on algorithmic bias — and operationalized it in the AI Governance Platform.

Until recently, there was no internationally recognized standard defining how organizations should systematically identify, mitigate, and monitor algorithmic bias. Modulos Advisory Board member Andrea Basso contributed to the development of IEEE 7003-2024, approved in December 2024 and published in January 2025. The standard sets out criteria for selecting bias validation data sets, guidelines for communicating an algorithm's application boundaries, and approaches to managing user expectations around system outputs. Modulos has integrated full support for IEEE 7003-2024 into the Modulos AI Governance Platform alongside the EU AI Act, ISO 42001, and NIST AI RM, closing the loop between the standard on paper and governance in practice.

Training Europe's Financial Supervisors

Modulos at the EU Supervisory Digital Finance Academy in Florence

Modulos trained financial supervisors from across the EU on how to actually audit and govern AI systems in production.