Essential Insights
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AI agents are becoming extensible runtimes: Skills, plugins, hooks, repository instructions, and MCP servers can shape what agents access, execute, and share.
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The supply-chain risk is hidden in trusted context: Malicious extensions and configuration can steal credentials, expose data, run code, or manipulate agent behavior—even without adding a conventional software dependency.
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Approving the AI product isn’t enough: Govern each agent’s full capability graph, including extension provenance, permissions, connected identities, and changes after approval.
- Build controls across the lifecycle: Inventory and allowlist components, review updates, enforce and log high-risk actions at runtime, and red-team the path from instructions to real-world actions.
Approval Does Not Reveal the Whole Tool
A company may approve Copilot, Claude Code, or another AI assistant and still lose sight of what the tool can do. Today’s agents can inspect files, run commands, and connect to workplace systems. Skills, plugins, and other add-ons can expand those powers—sometimes without a new app appearing on the company’s software list.
That creates a new form of Shadow AI: hidden inside sanctioned tools. A seemingly useful extension might also expose sensitive data or run commands. Most add-ons serve practical needs, and wider adoption could help teams work faster. But trust in the main product does not automatically make every extension safe.
Govern the Capabilities, Not Just the App
Security teams should track the agent’s add-ons, instructions, connections, and permissions. They should check who created each component, what it can access, and whether an update changes its behavior. They also need clear records of important actions, so teams can understand what an agent did and why.
These steps do not require companies to reject AI. Instead, they make adoption more deliberate. As agents take on more work, security must follow them into the tools and instructions that shape their decisions. That shift can strengthen the broader cybersecurity journey—while keeping useful AI within visible, accountable boundaries.
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