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Cybeta | Blending Data Science with a Threat Actor Mindset — 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 →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
onurakcakaya.com ↗	68 match 1 shared topics	Onur Akcakaya — Data Science & Cybersecurity	en	information-and-network-security	robots llmsaihumans	emailphone	none
threatview.io ↗	67 match 1 shared topics	Threatview.io \| Actionable Cyber Threat Intelligence Feeds	en	information-and-network-security	robotsllmsaihumans	emailphone	none
abuse.abudhabi ↗	66 match 1 shared topics	Abuse Intelligence Labs — Cyber Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackrockintel.com ↗	66 match 1 shared topics	Digital Threat & Risk Protection \| Blackrock Intelligence - Blackrock Intelligence	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
ecrimelabs.eu ↗	66 match 1 shared topics	eCrimeLabs \| Threat Intelligence & Security Engineering	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackhawkdata.net ↗	65 match 1 shared topics	BlackHawk Data \| Cybersecurity & AI - Engineered for Outcomes	en	information-and-network-security	robotsllmsaihumans	emailphone	none
corelight.com ↗	65 match 1 shared topics	Corelight: Evidence-Based NDR and Threat Hunting Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threatintelligencegroup.com ↗	65 match 1 shared topics	Welcome - Threat Intelligence Group	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threatid.ai ↗	65 match 1 shared topics	ThreatID - Intelligence-Driven Threat Identification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thoropass.com ↗	65 match 1 shared topics	Compliance with confidence - Thoropass	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thoroaudits.com ↗	65 match 1 shared topics	Compliance with confidence - Thoropass	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thoroaudit.com ↗	65 match 1 shared topics	Compliance with confidence - Thoropass	en	information-and-network-security	robotsllmsaihumans	emailphone	none
torchesysteme.com ↗	65 match 1 shared topics	Cut Off Attacks at the Source \| Threat Intelligence - Flare	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
copperriveres.com ↗	65 match 1 shared topics	Copper River Enterprise Services \| Insider Threat Indicators	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
threatverge.com ↗	65 match 1 shared topics	ThreatVerge - Cybersecurity Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threat-advisor.com ↗	65 match 1 shared topics	Threat Advisor — Third-Party Threat Assessment	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
blockscout.ai ↗	65 match 1 shared topics	BlockScout \| Blockchain Research & Data Infrastructure	en	information-and-network-security	robots llmsaihumans	emailphone	none
threatmark.com ↗	65 match 1 shared topics	Win the war against fraud, with ThreatMark	en	information-and-network-security WordPress	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:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

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.