The Ultimate Guide to Securing Coding Agents

A field guide to threat models, the tooling gap, and what securing coding agents actually requires

Claude Code, Cursor, GitHub Copilot, and Gemini CLI are running on developer machines across your enterprise right now, browsing the web, writing to your filesystem, committing code to your repositories, and calling external APIs under the identity of your engineers. This guide gives security leaders the framework to govern what coding agents do, not just what they're permitted to access.

Authorization is necessary, but it isn't sufficient. Every tool in your existing stack, EDR, DLP, IAM, and SIEM, was built to answer whether an action was permitted. None of them were built to answer whether it was appropriate. That gap is where coding agent attacks live: legitimate credentials, authorized tools, permitted actions, and the wrong intent behind all three.

The scale of the exposure is already measurable. 47% of security and IT professionals have experienced a security incident involving an AI agent in the past 12 months, and only 15% say they're highly confident in their ability to detect and respond to one. This guide is the framework for closing that gap.

What You'll Learn

• Why coding agents are autonomous systems with a three-layer identity surface, not smarter autocomplete, and why that distinction changes the entire threat model.
• How prompt injection turns a coding agent's core capability into its primary attack vector, and the full landscape of downstream threats it enables, from goal manipulation to sandbox escape.
• Why EDR, DLP, IAM, and SIEM each miss coding agent attacks by design, and what partial coverage still leaves exposed.
• The two types of observability, execution and intent, required to detect an agent that's doing something permitted for the wrong reason.
• The configuration hardening, governance framework, and audit trail requirements that regulators are already starting to ask for.
• A sequenced starting point for CISOs, Directors of Information Security, Security Architects, Engineers, and Analysts.

Who This Guide Is For

Security leaders and practitioners accountable for closing the coding agent coverage gap: CISOs framing the risk at the board level, Directors and Architects building the controls, and Engineers and Analysts operating them. It's grounded in Zenity Labs' research into the coding agent threat model, real-world security incidents, and the broader framework for securing agentic AI.