Sekrd
Scans web applications for exposed secrets, misconfigurations, and vulnerabilities in backend services and dependencies.
≈ 1visits/mo
Emerging · estimate, read 2026-09-18
- For
- Developers shipping AI-built apps before launch or in production
- Price
- Free plan · From $39 oncepricing page, read 2026-09-19
- Activity
- Quietnothing dated on the site
- Company
- founding year not on record
- Runs as
- API
- scan apps for exposed secrets and misconfigurations
- audit backend security rules and access controls
- get AI-generated fix prompts for security issues
- #108
CodeRabbit
Automatically reviews pull requests, prioritizes them by risk, and scans for security vulnerabilities.
24.4knot readFrom $24/user/mo2023 - #138
Hexmos
AI code reviewer that flags logic errors, credential leaks and bugs at commit time before reaching production.
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Greptile
Reviews pull requests and tests code changes using agent swarms to catch bugs and style violations across codebases.
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Fluid Attacks
Scans applications for vulnerabilities using automated analysis and human penetration testing, prioritizes findings by exploitability, and generates remediation guidance.
4.3knot readFree plan - #207
Hacktron AI
Analyzes pull requests to find exploitable vulnerabilities and generates working proofs of concept before code ships.
68not readFrom $40/user/mo - #265
KushoAI
Generates API tests from specifications, scans for security vulnerabilities, and validates complete workflows across services.
906not readFree plan
What is Sekrd?
Scans web applications for exposed secrets, misconfigurations, and vulnerabilities in backend services and dependencies.
Who is Sekrd for?
Developers shipping AI-built apps before launch or in production
How much does Sekrd cost?
Sekrd has a free plan; paid plans start at $39 once, per its pricing page on 2026-09-19.
Do people use Sekrd?
Emerging: ≈ 1 visits a month · estimate, 2026-09.
Is Sekrd still maintained?
Quiet.
What are alternatives to Sekrd?
In Developer tools, by use: CodeRabbit, Hexmos, Greptile, Fluid Attacks, Hacktron AI, KushoAI.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.