AI-coding benchmarks
A 1,200-PR side-by-side of what Cursor, Claude Code, Copilot, and Devin ship into real repos — and how often those PRs introduce a CWE-285, CWE-89, or CWE-22.
The State of
AI Engineering Security
A deep look at what AI coding assistants are shipping into production — and the ASPM playbook that catches it. 38 pages of benchmarks, case studies, and remediation patterns.
WHAT IS INSIDE
38 pages of benchmarks, case studies, and remediation patterns.
ASPM playbook
The four-layer review pattern that catches what AI-generated code misses: graph-aware SAST, reachability analysis, replay-verified findings, and a human-reviewable audit trail.
Three case studies
How three engineering teams cut their AI-coded vulnerability backlog by 78%, 84%, and 91% in one quarter — including the rollout plan they used and the metrics they watched.
EU compliance map
A practitioner-grade mapping from AI-coding risks to NIS2 Art. 21, DORA Art. 28, the EU AI Act, and the Cyber Resilience Act — with the evidence each regulator expects.
WHO IT IS FOR
Built for the people who own AI-coded production risk.
CISOs and Heads of Security
A board-ready view of what AI coding assistants are shipping into your codebase and the playbook to bring it under control in 90 days.
Application-security teams
The benchmarks, reachability patterns, and remediation templates that compress your review backlog without dropping the findings that matter.
Platform and DevEx leaders
How to keep AI-coding velocity high while the audit trail stays auditable — including the IDE- and CI-level guardrails the case-study teams standardised on.
Compliance and GRC
The NIS2 / DORA / EU AI Act / CRA mapping your regulator will ask about, with the evidence artefacts each framework expects.
GET THE REPORT
Read it before your next AI-generated PR ships.
Free 38-page PDF. No signup wall, no email-gate before the table of contents.