CISO's Guide: Build vs Buy AI Code Security
Blog post from Endor Labs
AI code security tools depend not only on frontier models but also on an agent harness that supplies deterministic codebase context, verifies findings, maintains audit-ready evidence, and controls costs at scale. The text argues that models alone cannot replace established security practices such as SAST, SCA, secret detection, and supply-chain defense, because the surrounding infrastructure determines whether AI-generated security results are reliable and operationally useful. It presents benchmark claims that a specialized security harness finds 2.6 times more real vulnerabilities than frontier models, uses 12 times fewer tokens, and operates 19 times faster for equivalent work. It also frames the build-versus-buy decision around the ongoing effort required to create and maintain capabilities for vulnerability discovery, validation, triage, and remediation.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Coding Assistant | 1 | 1,513 | 470 | 139 | -19% |
| Secrets Management | 1 | 2,244 | 480 | 132 | -13% |
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