AI code security university
ANSWER FIRST
10 lessons in three tracks, plus a glossary of 38 terms, for teams securing code written by AI assistants and agents. Start with Basics, then Controls, then Buying and running it.
Editorial assessment · Compiled from vendor product, docs, pricing and marketplace pages · Rated October 2026
Tracks
Basics
What changes when AI writes the code, and the scans every change still needs.
LESSON 01 · 2 MIN READ
Coding agent attack surface: what an agent can touch
A short lesson on the coding agent attack surface: files, shell commands, packages, MCP servers and the instructions an agent reads.
LESSON 02 · 3 MIN READ
SAST, SCA and secrets scanning for AI-generated code
What SAST, SCA and secrets scanning each catch in code written by AI assistants, where each check runs, and how the tools we score cover them.
LESSON 03 · 2 MIN READ
Vibe coding security explained: the risks of prompt-driven development with AI agents and the controls that address them, from rule files to guardrails.
LESSON 04 · 2 MIN READ
What is ASPM (application security posture management)?
ASPM (application security posture management) explained: what it does, how it differs from a scanner, and how ASPM platforms now cover AI coding agents.
Controls
Controls that act on the agent itself: instruction files, hooks, secrets filtering and MCP policy.
LESSON 05 · 5 MIN READ
How to secure code written by Copilot, Cursor and Claude Code
An eight-step guide to securing AI-generated code: inventory agents, set instructions, enforce hooks, protect secrets, block bad packages, scan every PR.
LESSON 06 · 2 MIN READ
Secrets protection for AI coding: from the IDE to the merge
Where secrets leak in AI-assisted development, from prompts to pull requests, and which controls act at each point, with dated vendor sources.
LESSON 07 · 3 MIN READ
MCP server security: inventory, approval and policy
How to find the MCP servers your coding agents use, decide which to allow, keep secrets out of tool calls and record what agents call, with the controls vendors describe.
Buying and running it
How to rank findings, read pricing pages and meet the frameworks buyers and regulators ask about.
LESSON 08 · 3 MIN READ
How AI code security tools prioritize findings
How AI code security tools decide which findings matter: reachability, exploitability checks, business context, de-duplication and auto-triage, with what each vendor describes.
LESSON 09 · 3 MIN READ
AI code security pricing: units, tiers and what to ask
Contributors, active committers, AI users and flat plans: how AI code security vendors price, what each unit counts, and what to ask when no price is published.
LESSON 10 · 2 MIN READ
CRA and NIST SSDF: what AppSec teams need to know
What the EU Cyber Resilience Act reporting duties from 11 September 2026 and the NIST SSDF (SP 800-218) mean for teams securing AI-generated code.
Glossary
38 terms, from agentic remediation to vibe coding, with links to the standard or regulator where a term comes from one.
- Active committer
- Agentic AppSec
- Agentic pentesting
- Agentic remediation
- AI coding assistant
- AI SAST
- AI-BOM
- Anti-tampering
Notes
Dated analysis for buyers, written from public sources.
- How to evaluate coding agent security tools: a buyer's checklist
- AI code security news recap: June to September 2026
- What AI code security tools cost: published prices compared
- Agentic remediation in AppSec: how fix agents compare
- npm v12 install script defaults: what changes for AI coding agents
- The standards behind AI code security: OWASP, NIST SSDF, the CRA, SBOM and MCP
- Six AI code security myths, checked against public sources
- How to run a proof of concept for a coding agent security tool