Securing Claude: A Security Leader’s Playbook for Governing Coding Agents in the Enterprise

AI coding agents like Claude Code are rewriting how software gets built — and rewriting the security threat model with it. Claude Code is already responsible for 4% of all public GitHub commits, a number projected to hit 20% by year-end. It reads codebases, edits files, runs shell commands, and integrates with your cloud accounts, SaaS apps, and internal services. And it does all of it faster than any human reviewer can follow.

The problem isn't that agents are malicious. The problem is that they're non-deterministic, tunnel-visioned, and operate at machine speed. When an agent can't complete a task the intended way, it finds another path — one your security team never anticipated and your existing tools can't see. EDR sees a legitimate API call. DLP sees a reformatted payload that bypasses keyword filters. IAM sees an authorized identity. None of them see the risk. The result: full visibility, zero prevention.

This ebook is for security and engineering leaders who need to say yes to AI agent adoption without losing control of their environment.

Inside, you'll find:

Why the three core properties of AI agents — non-determinism, task fixation, and machine speed — create a new class of risk that legacy tools were never built to catch
A breakdown of exactly what EDR, DLP, IAM, rules engines, and logging each miss when an agent goes off-script
The four principles of effective agent governance: external control, execution-time enforcement, intent-based detection, and build-to-run-time visibility
Real incident examples — from production database wipes to unauthorized credential harvesting — drawn from deployments in the wild
An 8-step Claude Security Playbook you can start implementing now, before your AI governance program is fully mature
Download the ebook and get the framework your security team needs to govern Claude without slowing down your developers.