How can a bank run AI governance without sending data outside its own infrastructure?
A bank can run AI governance entirely within its perimeter by deploying Olakai directly inside its own AWS, Azure, or GCP cloud tenancy, or fully on-premises. No code, prompt data, or AI interaction logs are processed outside the bank's perimeter, and SR 11-7 and EU AI Act compliance documentation is generated inside it.
Deploying AI Governance Inside Your Perimeter
Banks can deploy Olakai directly within their own cloud tenancy on AWS, Azure, or GCP, or on their own physical hardware on-premises. No code, no prompt data, and no AI interaction logs are processed outside that perimeter. For financial institutions operating under SR 11-7, data residency mandates, and internal security policy, this is the prerequisite: most AI governance vendors are SaaS-only.
Source: Control AI costs. Govern AI risk. Run it all inside your own cloud.
Zero Data Egress and Regulatory Documentation
With zero data egress, code, prompts, and agent logs never leave the bank's environment. Data residency and sovereignty requirements are met out of the box, and compliance documentation for SR 11-7 and the EU AI Act is generated directly inside the bank's own infrastructure.
Source: Control AI costs. Govern AI risk. Run it all inside your own cloud.
On-Premises Audit Trails and Policy Enforcement
For autonomous agent operations, the platform captures complete execution logs—covering inputs, tools called, decisions made, and outcomes—per agent run. Workflow-level policies catch violations before actions occur, and automated regulatory reports are compiled entirely within the perimeter.
Source: Control AI costs. Govern AI risk. Run it all inside your own cloud.
Also asked as
- Can Olakai deploy AI governance inside a bank's private cloud or on-premises environment?
- How do financial institutions prevent data egress while governing AI models and agents?
- What deployment options allow banks to satisfy SR 11-7 and AI data residency mandates?
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