#52 in Application SecurityUpdated 2026-08

BitPatrol

by BitPatrol · Machine-learning secret scanning for CI/CD pipelines

13.3 — BenchRank score out of 100

Homepage

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Overview

BitPatrol detects credentials exposed in source code. It integrates into a CI/CD pipeline and scans commits in real time, using a machine learning model the company says understands code context rather than matching regular expressions. Detections can trigger alerts or start remediation through Slack, PagerDuty and custom webhooks.

Best for: Security teams wanting secret scanning in CI/CD with alerts routed to Slack or PagerDuty.
Pricing: No prices are shown on the captured page; the site routes enquiries to a contact form.
Runs on: Web

Strengths and trade-offs

Strengths

Scans commits in CI/CD as they happen, not on a schedule
Alerts via Slack, PagerDuty and custom webhooks
ML model reads code context rather than regex patterns

Trade-offs

No pricing published; buying starts with a contact form
Captured site is one marketing page — no docs or trial shown
No stated coverage of languages, repo hosts or CI systems
Detection-accuracy claims are the vendor's own, unverified

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

MCP support: 0 out of 100
Documentation: 0 out of 100
Agent friendliness: 65 out of 100
Changelog: 0 out of 100
Marketing site structure: 15 out of 100
Operational trust: 0 out of 100

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

Openness: 30 out of 100
Maintenance: 15 out of 100

This doesn’t look right — report a problem with BitPatrol’s score

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