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Kai Autonomous Defense Platform | End-to-End Agentic Risk Reduction — 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
accessdata.com ↗	65 match shared topic	Exterro \| AI-Powered Data Risk Management Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
upguard.com ↗	65 match shared topic	The #1 Cyber Risk Posture Management Platform \| UpGuard	Australia~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
endorlabs.com ↗	65 match shared topic	Endor Labs \| Agentic Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
descope.com ↗	65 match shared topic	Descope \| Customer and Agentic Identity Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
exterro.com ↗	65 match shared topic	Exterro \| AI-Powered Data Risk Management Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
anomali.com ↗	65 match shared topic	Anomali \| AI Threat Intelligence & Agentic SOC Platform	United States~ en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
cyberhaven.com ↗	65 match shared topic	Stop Data Exfiltration with the AI & Data Security Platform (DSPM, DLP & Insider Risk) \| Cyberhaven	United States~ en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
babelstreet.com ↗	65 match shared topic	Agentic AI for Threat, Identity, and Vendor Risk \| Babel Street	en	information-and-network-security Sanity	robots llmsaihumans	emailphone	none
sekoia.io ↗	65 match shared topic	Sekoia \| Agentic Cybersecurity Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sentinelone.com ↗	60 match shared topic	SentinelOne \| AI-Powered Enterprise Cybersecurity Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
securitypal.com ↗	60 match shared topic	Cybersecurity Assurance Management Platform: AI + Certified Experts \| SecurityPal AI	United States~ en	information-and-network-security HubSpot CMS	robotsllmsaihumans	emailphone	none
intigriti.com ↗	60 match shared topic	Leading global bug bounty platform \| Intigriti	en	information-and-network-security DatoCMS	robotsllmsaihumans	emailphone	none
forcepoint.com ↗	60 match shared topic	Forcepoint: The #1 AI Data Security Platform	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
yoti.com ↗	60 match shared topic	Building the world's trusted identity platform • Yoti	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	partial · 8
darktrace.com ↗	60 match shared topic	Darktrace \| The Essential AI Cybersecurity Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
getastra.com ↗	60 match shared topic	Astra Security - AI Powered Continuous Pentest Platform	en	artificial-intelligence Webflow	robotsllmsaihumans	emailphone	none
tanium.com ↗	60 match shared topic	Autonomous IT, endpoint intelligence and control	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
relyance.ai ↗	60 match shared topic	AI data security platform	United States~ 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.