What agentic AppSec covers: governing coding agents and putting agents to work

Why does the term need two halves?

Vendors use "agentic AppSec" for two different things, and the difference matters when you compare products.

The first is governance of coding agents. Tools such as Claude Code, Cursor and GitHub Copilot do more than suggest lines of code. They install packages, run shell commands, read files and call MCP servers. A control that acts on the agent itself, not only on the code it leaves behind, is part of agentic AppSec. Legit Security's VibeGuard 2.0, launched on 3 August 2026, is one example: it discovers coding agents on the developer endpoint and blocks dangerous operations. Snyk's Evo Agentic Development Security is another: it discovers MCP servers, skills and tools and can evaluate, steer or block risky agent activity.

The second is agents doing AppSec work. Here the AppSec platform runs its own AI agents to triage, prioritize and fix findings. Legit Security introduced Agentic AppSec on 16 June 2026, with remediation agents that fix SAST and SCA findings and re-scan to confirm the fix. Cycode runs an AI Exploitability Agent and an AI Fix and Remediation Agent under its Maestro orchestration. GitHub made agentic autofix generally available for Code Quality findings on 9 September 2026.

What sits under each half?

Governing agents usually covers:

• discovery and inventory of the agents, models, MCP servers and skills in use;
• policy on what an agent may run, install or send, enforced at the endpoint, in the IDE or through hooks inside the agent;
• guidance given to the agent before it writes code;
• keeping secrets out of prompts and tool calls.

Agents doing AppSec work usually covers:

• triage agents that decide whether a finding is reachable or exploitable;
• remediation agents that write a fix, ideally on a branch with a pull request;
• validation, where the agent or the platform checks that the fix removed the issue;
• policy agents or rules that act across source control and CI/CD.

Why does the distinction matter for buyers?

Because the two halves answer different risks. Governance answers "what is the agent doing on a developer's machine right now?". Agents at work answer "how do we keep up with the findings that faster coding produces?". A product can be strong on one and silent on the other. On this site the first half is scored by three agent governance criteria, discovery, policy and audit, and secret handling (25% together), and the second by agentic remediation (20%) and agentic triage (15%). The scoring method explains the weights.

What does not change?

Scanning still matters. An agent's pull request needs the same SAST, SCA and secrets checks as a person's. Agentic AppSec adds control points earlier in the process and adds automation after the scan; it does not remove the scan.

A quick self-check

Before you read vendor pages, write down two lists: the coding agents your developers use, and the parts of your AppSec workload you would hand to an agent first. The next lesson maps where along the pipeline each kind of control can act.