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Exabeam | Cybersecurity & Compliance with Security Log Management and SIEM — 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
blackswantechnologies.com ↗	70 match 2 shared topics	AI, Cybersecurity & Risk Management Consulting \| Black Swan Technologies%	en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
blackunicorn.tech ↗	70 match 2 shared topics	LLM Security Testing & EU AI Compliance \| Black Unicorn Security	en	information-and-network-security	robots llmsaihumans	emailphone	none
cooties.io ↗	69 match 2 shared topics	Cooties@Blog \| Cybersecurity & AI Research Insights	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sandpivot.com ↗	69 match 2 shared topics	Sandscript AI — AI Security, Risk & Compliance Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
1-pro.net ↗	69 match 2 shared topics	1PRO Solutions - AI-Powered Cybersecurity & Innovation \| Enterprise Security Services	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
blacknode.cloud ↗	69 match 2 shared topics	Black Node — AI Cybersecurity & Automation	en	information-and-network-security	robotsllmsaihumans	email phone	none
onezania.com ↗	69 match 2 shared topics	AI Compliance Agents for Security & Risk \| Zania	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
corelayersecurity.com ↗	68 match 2 shared topics	CoreLayer Security - AI Security Platform \| Full Lifecycle LLM Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
spog.ai ↗	68 match 2 shared topics	Cyber Governance & Exposure Management Platform \| SPOG.AI	en	information-and-network-security	robots llmsaihumans	emailphone	none
avepoint.com ↗	68 match 2 shared topics	AI-Ready Data Security & Governance for Enterprise \| AvePoint	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ambient.ai ↗	68 match 2 shared topics	Prevent security incidents with computer vision intelligence \| Ambient.ai	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cslawreport.com ↗	68 match 2 shared topics	Home \| Cybersecurity Law Report	en	information-and-network-security	robotsllmsaihumans	emailphone	none
toplocalapp.com ↗	68 match 2 shared topics	Supernova AI Security \| AI-Powered Camera Security for Schools, Hospitals & Corporate	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oneseccurepipeline.com ↗	67 match 2 shared topics	SecurePipeline - Predictable Pipeline for Cybersecurity Firms	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1bigthink.com ↗	67 match 2 shared topics	1bigthink \| Secure Your Compliance Today	United States~ en	artificial-intelligence Squarespace Magento	robotsllmsaihumans	emailphone	none
mchugh.ai ↗	67 match 2 shared topics	Jeremy McHugh, D.Sc. — Cybersecurity & AI	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
splunksurge.com ↗	67 match 2 shared topics	SURGe Security Research Team \| Splunk	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
meetcoramai.org ↗	67 match 2 shared topics	Coram: Unified Physical Security Platform	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:

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.