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CyberCoach Security and AI Skills Training in Teams and Slack — 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
2thrivellc.com ↗	72 match 2 shared topics	Cyber Security and AI Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xclaw.dev ↗	68 match 2 shared topics	Local AI pentesting for security teams	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 7
thorngrade.com ↗	68 match 2 shared topics	ThornGrade — AI Security Assessment	en	information-and-network-security	robotsllmsaihumans	emailphone	none
accurics.pro ↗	68 match 2 shared topics	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
accurics.site ↗	68 match 2 shared topics	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
accurics.website ↗	68 match 2 shared topics	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
mcpandchill.com ↗	68 match 2 shared topics	MCP and Chill \| Practical Notes on MCP and AI Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
splunksurge.com ↗	67 match 2 shared topics	SURGe Security Research Team \| Splunk	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
blacknode.cloud ↗	67 match 2 shared topics	Black Node — AI Cybersecurity & Automation	en	information-and-network-security	robotsllmsaihumans	email phone	none
luongnv.com ↗	67 match 2 shared topics	Luong Nguyen \| AI & Cybersecurity Engineer	France~ en	information-and-network-security	robots llmsaihumans	emailphone	none
splx.ai ↗	67 match 2 shared topics	SPLX \| End-to-End Security for AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
thexar.com ↗	67 match 2 shared topics	thexar — AI Security Evaluation	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
abstract.engineering ↗	67 match 2 shared topics	Seif.ai - Continuous cybersecurity across all assets	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackfog.cloud ↗	66 match 2 shared topics	BlackFog AI Security for Data Exfiltration, Shadow AI and Ransomware Prevention	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
sanitai.io ↗	66 match 2 shared topics	sanitai \| AI data privacy, PII masking, and secure RAG for industrial teams	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
medullainstitute.org ↗	66 match 2 shared topics	Medulla AI Security Research Institute	United States~ en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
cooties.io ↗	66 match 2 shared topics	Cooties@Blog \| Cybersecurity & AI Research Insights	en	information-and-network-security	robotsllmsaihumans	emailphone	none
spotem.ai ↗	66 match 2 shared topics	AI Security Cameras & Surveillance \| AI CCTV Monitoring Solutions	en	artificial-intelligence	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.