Catch vulnerable code before it ships
A lightweight probe reads a coding model's own activations and flags vulnerable output inline with generation — no second model, no decode-then-scan step.
Near-zero latency
Runs concurrent with generation — effectively free, versus seconds for static analysis or a second LLM pass
No added infrastructure
No second GPU-backed model to host, scale, or pay inference for
Flags risk before it's fully emitted
Unlike a response filter that must wait for the whole output
Deployability ↓
Details below
CI / PR gate
A probe-based check on AI-generated diffs before merge — cheaper than a full static-analysis pass on every PR
IDE inline flag
Real-time "this generated function looks risky" signal as code is written, no round-trip to an external service
Probe SDK for model owners
Coding-tool vendors train a probe on their own model's activations, in-house — data and weights never leave their infrastructure
Per-CWE risk scoring
Tight, consistent accuracy (97.5–99.0%) across the five most common CWE types in our Big-Vul evaluation, suggesting a path to categorized risk output rather than a binary flag
Current results are on existing, human/CVE-labeled corpus code, not yet on live model-generated completions — a necessary but not sufficient step toward a model flagging its own forthcoming output. We also haven't yet run an adversarial-robustness or obfuscation-evasion check against the probe itself.
See it on your own model
Talk to us about running a pilot on your coding pipeline — no retraining, no model swap-out required.
Talk to us