Build your own vulnerability harness
This article discusses the development of a model-agnostic security harness designed to scan enterprise codebases for vulnerabilities. It argues that relying on a single AI model is insufficient and proposes a pipeline that rotates models to improve defensive coverage.
Why it matters
As AI-driven cyber threats evolve, security teams must move toward more resilient, multi-model architectures to effectively identify and remediate vulnerabilities.
A few weeks ago, we published our initial findings from Project Glasswing , looking at what happens when you point frontier security models at an enterprise codebase. We also explored how our defensive structures adapt to protect our infrastructure and customers from threats posed by frontier AI . Since then, the AI ecosystem has continued to shift rapidly — developers who've built tightly around a single model have already experienced what happens when that model is no longer available or gets superseded by a more capable one. These market shifts only reinforce our core thesis: no matter which underlying model is leading the pack on any given day, the future of agentic workflows will not be found in standalone models, prompts, or single-agent sessions.
Technical analysis of software security practices without political or social bias.
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