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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
atstrac.net 100 match
1 shared topics
Strac | Data Loss Prevention, Data Discovery & DSPM for SaaS, Cloud, GenAI United States~ en information-and-network-securityWebflow robotsllmsaihumans emailphone none
dostrac.com 100 match
1 shared topics
Strac | Data Loss Prevention, Data Discovery & DSPM for SaaS, Cloud, GenAI United States~ en information-and-network-securityWebflow 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
vortexshieldlabs.com 66 match
1 shared topics
Penetration Testing for Web, API, Cloud, and AI en information-and-network-security robotsllmsaihumans emailphone none
0secure.com 65 match
1 shared topics
ZeroHack | cybercrime prevention & response en information-and-network-securityWix robotsllmsaihumans emailphone none
assetretrace.com 65 match
1 shared topics
Asset ReTrace | Recovering & Discovering Cyber Theft United States~ en information-and-network-security robotsllmsaihumans emailphone none
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
dataprotectors.eu 65 match
1 shared topics
Data Protectors| outsourced Data Protection Officers European Union en information-and-network-security robotsllmsaihumans emailphone none
erasura.org 65 match
1 shared topics
Erasura — Remove your data from data brokers. en information-and-network-security robotsllmsaihumans emailphone none
erickmetz.io 65 match
1 shared topics
Eric Kmetz - Security Engineer, Platform, Application, DevSecOps, Cloud en information-and-network-security robotsllmsaihumans emailphone none
necurity.com 65 match
1 shared topics
Necurity Solutions | 360° Cybersecurity for Enterprises — VAPT, SOC, Cloud, Dark Web India~ en information-and-network-security robotsllmsaihumans emailphone partial · 8
provendata.com 65 match
1 shared topics
Proven Data | Cybersecurity Response, Recovery & Protection United States~ en information-and-network-securitySanity robotsllmsaihumans emailphone none
provendatarecovery.com 65 match
1 shared topics
Proven Data | Cybersecurity Response, Recovery & Protection United States~ en information-and-network-securitySanity robotsllmsaihumans emailphone none
intelpuppet.com 64 match
1 shared topics
IntelPuppet - Advanced OSINT Fake Data Generator for Security Research en information-and-network-security robotsllmsaihumans emailphone partial · 8
myriad360.com 64 match
1 shared topics
Myriad360: Experts in Security, Cloud, AI, and Data Center Modernization en information-and-network-security robotsllmsaihumans emailphone none
intelligentfraud.com 64 match
1 shared topics
Intelligent Fraud - Safeguard your business with cutting-edge solutions for fraud prevention, abuse detection, and chargeback management en information-and-network-securityWordPress robotsllmsaihumans emailphone none
attachmentav.com 64 match
1 shared topics
Antivirus for SaaS and cloud platforms – attachmentAV 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.