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BlackFog AI Security for Data Exfiltration, Shadow AI and Ransomware Prevention — 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
incidentresponseplatform.com ↗	69 match 2 shared topics	Swimlane: Agentic AI Security Automation, Hyperautomation, SOC Automation	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
sanitized.ai ↗	68 match 2 shared topics	Sanitized Ai - Shadow AI Detection & PII Protection for Enterprises	Canada~ en	information-and-network-security	robots llmsaihumans	emailphone	none
splx.ai ↗	68 match 2 shared topics	SPLX \| End-to-End Security for AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
threelawssecurity.com ↗	68 match 2 shared topics	Enterprise AI Security - 3LS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thorngrade.com ↗	68 match 2 shared topics	ThornGrade — AI Security Assessment	en	information-and-network-security	robotsllmsaihumans	emailphone	none
avepoint.com ↗	67 match 2 shared topics	AI-Ready Data Security & Governance for Enterprise \| AvePoint	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
blackmatterdefense.com ↗	67 match 2 shared topics	Black Matter Defense — Enterprise AI Security Consultancy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2thrivellc.com ↗	67 match 2 shared topics	Cyber Security and AI Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ctrlg.ai ↗	67 match 2 shared topics	Ctrl+G \| The Data Lab for AI Cybersecurity	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
thexar.com ↗	67 match 2 shared topics	thexar — AI Security Evaluation	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
blacksight.ai ↗	67 match 2 shared topics	AI Data Loss Prevention \| Blacksight AI	en	information-and-network-security	robots llmsaihumans	emailphone	none
fense.ai ↗	67 match 2 shared topics	Fense.ai - Advanced E-commerce Fraud Detection and Prevention	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
astrix.security ↗	67 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
blacknode.cloud ↗	67 match 2 shared topics	Black Node — AI Cybersecurity & Automation	en	information-and-network-security	robotsllmsaihumans	email phone	none
threatvec.com ↗	67 match 2 shared topics	ThreatVec — AI Agent Security Posture Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lampsec.dev ↗	66 match 2 shared topics	LAMPSEC — Autonomous AI Security Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threatpreventionai.com ↗	66 match 2 shared topics	Threat Prevention AI: Proactive Intelligent Defense Across Cybersecurity, Public Health, Financial Crime, and Physical Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
5thsphere.com ↗	66 match 2 shared topics	5th Sphere \| Next-Generation AI Cybersecurity	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.