Industry
AI governance for regulated industries, built for financial institutions.
We apply AI governance for regulated industries, security engineering, and platform modernization to banks, insurers, and payment firms.
Regulatory and operational pressures
What your programs are held to.
Regulatory
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Model risk rules apply to AI
Supervisory guidance such as SR 11-7 in the United States and PRA SS1/23 in the United Kingdom covers AI models as much as credit models.
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Operational resilience is a legal requirement
The EU Digital Operational Resilience Act and the Central Bank of Nigeria risk based cybersecurity framework set rules for ICT risk and incident reporting.
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Card data carries its own standard
PCI DSS v4.0 governs every system that stores, processes, or transmits card data.
Operational
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Legacy core platforms carry years of audit evidence
Replacing a core system without losing its audit trail is the hardest part of modernization.
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Supervisors expect a named owner for every control
A control without an owner is a finding, whether it covers a model, a server, or a payment flow.
Relevant capabilities
Three service lines for regulated finance.
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AI Engineering
Models with evaluation reports, named owners, and review cycles that model risk teams expect.
AI Engineering service line -
Cybersecurity
Identity, endpoint, and network hardening, mapped to NIST CSF 2.0 and prioritized by risk.
Cybersecurity service line -
Enterprise Digital Transformation
Core platform modernization that keeps the audit trail intact through the migration.
Enterprise Digital Transformation service line
Bring us the program your team is worried about.
A senior engineer replies within one business day. The first call is a technical conversation, not a sales presentation.