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Shadow AI Detection

Identify and manage unauthorized AI systems across your organization before regulators find them first.

What Is Shadow AI?

Shadow AI refers to artificial intelligence systems and models deployed within an organization without formal approval, oversight, or governance. These include unauthorized ChatGPT usage, unvetted vendor AI tools, models built by individual teams, and third-party APIs embedded in workflows without compliance review.

Under OSFI E-23 and SR 11-7, financial institutions must maintain complete model inventories. Undocumented AI systems create regulatory exposure, model risk blind spots, and potential compliance violations.

How Saillent Detects Shadow AI

Discovery: Full organizational scan to identify all AI systems in use across departments.
Inventory Mapping: Document every model, its purpose, data sources, and risk level.
Risk Classification: Categorize each system by regulatory impact and operational risk.
Control Framework: Implement governance controls to prevent future unauthorized AI adoption.
Identify your Shadow AI exposure →
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TRUST & COMPLIANCE

Security & AI-governance you can audit

SAILLENT is engineered to satisfy the world's strictest frameworks across the US, Canada, and Europe — and produces the cryptographic evidence your auditors need. Explore compliance tooling →

SOC 2 Type II
ALIGNED
Trust Services Criteria · Global
ISO 27001:2022
ALIGNED
Information Security Management
GDPR
COMPLIANT
EU Data Protection · Europe
HIPAA
COMPLIANT
Healthcare Privacy · US
NIST AI RMF
ALIGNED
AI Risk Management · US
ISO/IEC 42001
ALIGNED
AI Management Systems
OSFI E-23
COMPLIANT
Financial Oversight · Canada
SR 11-7
COMPLIANT
Model Risk Management · US Fed

COMPLIANT = current attestation · ALIGNED = certification in progress · Evidence packages available under NDA

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