Barriers to scalable AI in financial services
Strict regulations (GLBA privacy rules, FFIEC guidance, and audit mandates) slow AI adoption, requiring full oversight of every model interaction
Legacy systems make it difficult to deploy AI consistently across lending, AML/BSA monitoring, and trading operations
Real-time fraud checks, credit decisions, and market-risk workloads demand scalable, low-latency AI infrastructure
Accelerate AI adoption with enterprise-grade governance
TrueFoundry runs entirely within your environment, ensuring alignment with GLBA, SOX internal controls, and data-sovereignty requirements
AI Gateway for secure, centralized model access
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- A single, compliant access point to all AI models (including self-hosted LLMs) governed under GLBA and FFIEC access-control standards
- Ensure AI integrates consistently across financial systems so new capabilities reach production without creating regulatory gaps
AI deployments built for regulated production systems
- Deploy inside VPC, private cloud, or on-prem to keep GLBA-covered data and payment credentials within bank-governed environments
- Ensure full traceability to satisfy internal audit, OCC/FDIC examinations, and SOX ITGC controls
Maintain trust and control as AI scales
- Apply strict data boundaries, PII protection, and per-request audit logging, down to every token exchanged.
- Enforce role-based access, data residency rules, and model-usage policies to align with regulatory standards.
Deploy your own financial services agents with enterprise guardrails
The computing costs savings we achieved as a result of adopting TrueFoundry, were greater than the cost of the service (and that's without counting the time and headaches it saves us!)
GenAI infra- simple, faster, cheaper
Trusted by banking and financial institutions to scale AI
