This finance-focused guide explains how regulated institutions can adopt AI coding assistants without sacrificing auditability or control. It argues that traditional IAM and endpoint governance are not enough because they verify users and devices, not whether AI-generated code is secure. The ebook proposes a conditional-access model in which use of Copilot or Gemini depends on Snyk guardrails such as the IDE plugin and MCP Server. It describes technical enablers including endpoint checks, network-level enforcement, and secure preconfigured developer environments. It also emphasizes telemetry, behavior-based incentives, and continuous verification so compliance can be proven over time rather than assumed once. The regulatory section ties these controls to FFIEC, SOX, GDPR, PCI DSS, and NIST

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