Other

Novu · Hacktron AI

Vendor-reportedTechnology & softwareIn productionOtherLive 2026

Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.

Reported by hacktron.ai (vendor self-report). Checked against the source page on 2026-09-06. 4 of 4 figures below appear on that page word for word.

The problem

Trusting a codebase touched by 400 contributors; human error in security reviews; existing vendor security reviews are irrelevant and create noise fatigue.

What was deployed

Vendor
Hacktron AI
Products
Hacktron
Technique
Other
Build or buy
Bought off the shelf
Deployment
SaaS
Data used
codebase, PRs, repository
Scale
continuous review across a codebase 400+ external contributors touch
Timeline
1 months

What changed

Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.

28security issues fixedfirst 30 days

28 security issues fixed in the first 30 days

Quoted word for word from the source

83actionable findings rate

83% of findings were actionable, not noise

Quoted word for word from the source

230Unique PRs reviewedfirst 30 days (July 6 - Aug 6, 2026)

Unique PRs reviewed | 230

Quoted word for word from the source

61Total findings surfacedfirst 30 days (July 6 - Aug 6, 2026)

Total findings surfaced | 61

Quoted word for word from the source

Caught and fixed before mergeSecond-order vulnerability caught (NoSQL injection / cross-conversation authorization bypass)

NoSQL injection and cross-conversation authorization bypass (High). Caught in PR #12062, fixed in the same PR before merge.

Not found on the source page in these words

Nothing in our process changed with Hacktron. The only thing that really changed is the level of confidence we have: knowing that we are catching much more elaborate patterns.
Dima

Difficulties and limits

Sources

Similar deployments

ANZ Bank · NVIDIA

0.82 — Gini coefficient for assessing risk

Independently reportedBanking & finance · Other · Classical ML · Pilot

Unilever · Google Cloud

15-35% increase — retailer sales

Independently reportedOther · Other · Classical ML · Scaled

BHP Billiton

zero — accidents due to driver drowsiness

Independently reportedOther · Other · Classical ML · In production · 2022

Cubo Ai · Google Cloud

more than 10X — user growth supported with same IT workforce

Vendor-reportedOther · Other · Computer vision · Scaled · 2019