AI risk controls for security and technology leaders

Find shadow AI, assign control owners, and keep evidence defensible.

CISO and CTO teams can bring AI exposure into a governed workflow before model, vendor, or data risks reach production.

Identify AI systems, model usage, vendors, and high-risk workflows before they become unmanaged exposure.
Route AI use cases through security, privacy, compliance, and business controls.
Maintain evidence for reviews, exceptions, approvals, and ongoing monitoring.

Security reviewers and enterprise customers

PwC
SCSK
CertX
ETH

Review AI risk controls

A focused demo for security, risk, and technology teams.

Discover

Create visibility into AI systems, vendors, owners, and high-impact uses.

Control

Apply risk-based reviews, approvals, mitigations, and ownership.

Evidence

Keep decisions and evidence connected for security reviews and audits.

AI risks security teams are being asked to own

Bring shadow AI, vendor and model exposure, sensitive data use, and control ownership into one governance record before systems scale.

Risks covered in the workflow

Shadow AI and unmanaged AI use cases
Third-party model and vendor exposure
Sensitive data use in AI workflows
Missing owners for AI risk decisions
Controls disconnected from evidence

Controls covered in the workflow

AI intake and classification workflows
Risk-based approval gates
Control owners and remediation tracking
Evidence collection and audit trail
Portfolio reporting for security and risk teams

Control evidence security teams can defend

Assess how intake, approvals, exceptions, remediation, and monitoring evidence stay linked to each AI system for security review and regulatory scrutiny.

One risk record per AI system

Each AI system has ownership, context, review history, controls, and evidence in one place.

Clear control ownership

Security, compliance, legal, and technical owners can see what they need to review or remediate.

Evidence without chasing teams

Approvals, exceptions, mitigations, and supporting evidence remain connected to the AI system over time.

Security review materials for AI risk owners

SOC 2 assurance, NIST AI Consortium (CAISI) membership, EU AI Pact commitments, and customer references support the security review of Modulos as an enterprise control layer for AI.

Peak Privacy
We switched to Modulos from another governance platform because of Scout, the built-in AI assistant. It made our ISO 42001 journey genuinely manageable, guiding us through controls, mapping them to our AI operations, and eliminating the documentation overhead. As a Swiss AI platform handling sensitive customer data, responsible governance isn't optional. Modulos made it achievable.

Fabio Duó

CEO, Peak Privacy

SCSK
Modulos is a vital platform for anyone looking to bring their sophisticated AI systems into compliance with the new regulatory frameworks being developed across the world. The platform's ability to bring together diverse stakeholders with thoroughly crafted requirements gives us confidence that it will take any AI system into compliance.

Mason Hiroto

Head of Consulting, Digital Transformation, SCSK

Customers and partners

PwC
SCSK
CertX
ETH