Piperic
similar sites
‹ ProfileAI Report

Sites similar to ownstrac.com

Ownstrac alternatives & similar sites

Strac | Data Loss Prevention, Data Discovery & DSPM for SaaS, Cloud, GenAI — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Information And Network Security →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
powerdatagroup.com 66 match
1 shared topics
PowerData Group | Data Analytics, AI, Cybersecurity & IT Consulting Australia en information-and-network-security robotsllmsaihumans emailphone none
crystalrecoup.tech 66 match
1 shared topics
Crystal Recoup Tech | Expert Data Recovery & Digital Solutions en information-and-network-securityWordPress robotsllmsaihumans emailphone none
morphisec.com 66 match
1 shared topics
Morphisec | Endpoint Security, Threat Prevention, Moving Target Defense United States~ en information-and-network-securityWordPress robotsllmsaihumans emailphone none
overridelabsprevention.org 66 match
1 shared topics
Override Labs — Prevention by Design en information-and-network-security robotsllmsaihumans emailphone none
memorycarving.com 66 match
1 shared topics
Forensic Innovations – Dark Data Discovery United States~ en information-and-network-securityWordPressWooCommerce robotsllmsaihumans emailphone none
0secure.com 65 match
1 shared topics
ZeroHack | cybercrime prevention & response en information-and-network-securityWix robotsllmsaihumans emailphone none
siberson.com 65 match
1 shared topics
Siberson Data Security Solutions - Siberson en information-and-network-securityWordPressWooCommerce robotsllmsaihumans emailphone partial · 8
css-antivirus.com 65 match
1 shared topics
Cloud Storage Security | DSPM and Malware Protection for Cloud Storage en information-and-network-securityHubSpot robotsllmsaihumans emailphone none
cssantivirus.com 65 match
1 shared topics
Cloud Storage Security | DSPM and Malware Protection for Cloud Storage en information-and-network-securityHubSpot robotsllmsaihumans emailphone none
sidian-tech.com 65 match
1 shared topics
Sidian DataGuard | Stopping data leaks for regulated industries en information-and-network-security robotsllmsaihumans emailphone none
sidian.io 65 match
1 shared topics
Sidian DataGuard | Stopping data leaks for regulated industries en information-and-network-security robotsllmsaihumans emailphone none
datapunctum.ch 65 match
1 shared topics
Your Data on Point | Datapunctum Switzerland en information-and-network-security robotsllmsaihumans emailphone none
hertseyes.com 65 match
1 shared topics
HertsEyes - Investigations & Data Recovery en information-and-network-security robotsllmsaihumans emailphone none
moonify-it.com 65 match
1 shared topics
Moonify IT | Digital Consultancy for Secure SaaS, AI Solutions & Enterprise Platforms in France en information-and-network-security robotsllmsaihumans emailphone partial · 8
digitalprepper.info 64 match
1 shared topics
Digital Prepper | Data Survival Guide for 2026 en information-and-network-security robotsllmsaihumans emailphone none
montanadc.com 64 match
1 shared topics
Business Data Protection & Backup | Montana Data Co. en information-and-network-security robotsllmsaihumans emailphone none
cyberelements.ch 64 match
1 shared topics
The Zero-Trust & Identity-First Platform for Business Performance Switzerland en information-and-network-securityWordPress robotsllmsaihumans emailphone none
overe.net 64 match
1 shared topics
The Microsoft 365 Security Platform for MSPs | Overe en information-and-network-security robotsllmsaihumans emailphone none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.