≈ 1visits/mo
Emerging · estimate, read 2026-09-20
- For
- Enterprise data teams making high-stakes decisions with first-party and ecosystem data
- Price
- Price not read
- Activity
- Actively maintainednothing dated on the site
- Company
- founding year not on record
- Runs as
- No-code
- Build production machine learning models for fraud and risk decisioning
- Enrich customer profiles with privacy-safe signals from ecosystem partners
- Run decisioning workflows on proprietary data within your own cloud
- #8
Darktrace
Detects novel threats across networks, email, cloud, and endpoints using behavioral analysis.
68.5knot read—2013 - #18
Varonis
Discovers, classifies, and monitors sensitive data; detects and prevents data exfiltration and identity-based attacks.
137knot read—2005 - #21
Abnormal Security
Detects email attacks and identity threats using behavioral AI analysis of user and system patterns.
69not read—2018 - #27
Kratikal Tech Limited
Identifies and prioritizes security vulnerabilities in web apps, mobile apps, APIs, and cloud infrastructure.
780Active— - #79
Strike48
Unifies logs and deploys AI agents to investigate security incidents, triage alerts, and automate compliance tasks.
99Active—2025 - #115
Flarehawk
Analyzes security logs to detect bot attacks and group alerts into incidents with suggested fixes.
2ActiveFrom $749/mo
What is LattIQ?
Builds machine learning models for fraud, risk, and marketing decisions using privacy-safe signals from ecosystem partners.
Who is LattIQ for?
Enterprise data teams making high-stakes decisions with first-party and ecosystem data
Do people use LattIQ?
Emerging: ≈ 1 visits a month · estimate, 2026-09.
Is LattIQ still maintained?
Actively maintained.
What are alternatives to LattIQ?
In Security, by use: Darktrace, Varonis, Abnormal Security, Kratikal Tech Limited, Strike48, Flarehawk.
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.