Nucleus[A
I]
parallel
Pattern scanners flag and stop. Nucleus launches hundreds of AI agents in parallel to prove which actually exploit — ranked P0 → P2, patched in-editor.
Scanners flood you with noise. Nucleus sweeps your repo against thousands of threat signatures, then launches hundreds of AI agents in parallel — each one opens the file, traces the data flow, and tells you what actually exploits. Local. Private. Ranked P0 → P2, patch ready.
Candidates
47
100%
Investigated
47
100%
Verdicts
32
15 filt.
Triaged
24
75%
Fix linked
18
56%
Verified
12
38%
5 of 10 findings investigated by the agent — false positives dismissed, real ones prioritized.
SQL injection via string concatenation
src/api/users/[id]/route.ts:42
User-controlled `id` is concatenated directly into a raw SQL query, bypassing parameterization.
const user = await db.query(
`SELECT * FROM users WHERE id = '${req.params.id}'`,
)Use parameterized queries (prepared statements) or the ORM query builder. Never interpolate user input into SQL strings.
Your Terramind plan covers Nucleus, Chat, and everything we ship next. One bill, one account, every model.
Everything you need to start.
For developers who ship daily.
For engineering teams with security and compliance needs.
50+
models supported
10+
providers
3
platforms — Mac, Windows, Linux
One editor. Claude Code, Codex, and Atlas side by side. Auto-review on every commit, cloud agents you trigger from GitHub or Slack, and a security audit that runs while you type.
Available on
The new shape of risk
Throughput went up by an order of magnitude. The scanner did not. Watch the four-step loop run from raw push to green verdict — scan, audit, patch, revalidate.
Where the finding shows up
Same finding. Two completely different feedback loops. Watch them run in parallel.
Noise → Signal
The pattern sweep is wide. The auditor is strict. What lands on your PR is what is actually exploitable, ranked.
Attack-surface heatmap
Every file scored. Red files first. The auditor walks the hottest tiles before the cool ones — so your time goes to what could actually be exploited.
Inside the auditor
Not a regex match. The auditor traces the data flow, picks the specific token to change, and drafts the diff.
The fix loop
One conveyor. Four stations. A finding boards as a red token and steps off as a green tick — or loops back if the patch did not stick.
Three loops, one push
Security finds the exploitable. Review checks the design. Automation wires it to the merge. All three run off the same push.
Pattern sweep + AI auditor decides which findings are real and ranks them. This page.
Reads the whole repo, traces every reference, gives a per-file merge verdict.
Wires both loops to push events. Runs in sandbox. Opens the fix PR for you.