
FriendlyData
Infer SQL queries from plain-text questions and table headers.

SecuriLayer.dev
SecApps
SecDash.app
SEC AUDITOR
SecPortal.io
Securiwiser
Securonix Security Operations and Analytics
AI-powered security monitoring for Linux servers. A lightweight agent detects brute force, webshells, file tampering and DDoS in real time, auto-blocks attackers, tracks CVEs across installed packages, and runs AI security audits. White-labeled.

Which is more popular?
Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | secai.techsteps.ae |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from the United Arab Emirates · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of mlsql yet.
SecAI is built multi-tenant from the ground up, with a unified cross-client console, scoped client access, and white-label deployment, allowing managed security service providers and hosting companies to extend monitoring across their client estates without proportionally increasing analyst...
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Share your experience with using mlsql and SecAI.ae. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
Tracking SecAI.ae since Jul 2026.
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Real-time Digital Trust & Threat Intelligence Control Plane for AI agents, Web3, fintech, platforms and security teams.
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