AI-SDLC
CISO / Security Lead

AI Governance for the Financial Services CISO

Your board wants AI-driven productivity. Your regulators want provenance tracking. Your audit committee wants SOX-ready evidence. AI-SDLC gives you the enforcement layer that satisfies all three — without slowing down engineering.

The CISO's AI governance gap

AI coding agents create new threat vectors that traditional AppSec tools weren't designed to handle.

No provenance for AI-generated code

When an auditor asks which code was AI-generated and who approved it, you need a tamper-evident record — not a git blame that shows a human committer for machine-written code.

Security gates don't cover AI outputs

Your existing SAST/DAST pipeline catches known vulnerability patterns, but AI agents introduce novel code paths that bypass your baseline security scanning.

Regulatory exposure is accelerating

PCI-DSS Requirement 10, SOX audit trails, and the EU AI Act all require governance evidence for AI systems — and the enforcement deadlines are approaching.

Security controls built for AI agents

AI-SDLC provides the enforcement layer that maps directly to your compliance obligations.

Tamper-evident audit trails

Every AI agent action, quality gate decision, and code contribution is logged with immutable provenance — ready for SOX and PCI-DSS auditors on demand.

Hard-mandatory security gates

Security-critical code paths require human approval before merge. No override, no bypass — the gate is enforced at the framework level, not the developer level.

Compliance framework mapping

Generate compliance reports mapped to PCI-DSS, SOX, and EU AI Act requirements automatically from your governance telemetry.

SIEM integration and export

Export governance events to Splunk, Datadog, or your existing SIEM. AI agent behavior becomes part of your unified security monitoring.

Ready to close the AI governance gap?

See how AI-SDLC gives financial services CISOs the audit-ready governance they need. Talk to our enterprise team for a tailored walkthrough.