AI Coding Tools

AI coding tools are software assistants that generate, complete, or modify source code, such as GitHub Copilot, Cursor, and Claude Code. For enterprise governance teams, they raise questions about where proprietary code is sent, whether generated code carries licensing or security risks, and how output is reviewed before it ships. Their adoption often spreads faster than formal policy, so compliance and legal teams need clear rules on approved tools, data handling, and accountability for AI-written code.

1 item

ResearchGlobal2026-11-08

Coding Agents Expand the Security Boundary Beyond What Traditional Tools Cover

A Forrester analyst commentary published November 5, 2026 argues that AI coding agents introduce a security perimeter that traditional tools cannot assess. The expanded boundary includes AI models, MCP servers, skills, hooks, extensions, and plugins. Compliance teams are advised to maintain inventories of agentic dependencies, require workflow-specific vendor testing, validate AI-generated code, and strengthen access and monitoring controls.

agentic AI MCP security software assurance third-party risk AI coding tools supply chain developer tools