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Patrol Sense — AI Security Monitoring Platform — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
sentinelone.com ↗	67 match shared topic	SentinelOne \| AI-Powered Enterprise Cybersecurity Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
securitypal.com ↗	67 match shared topic	Cybersecurity Assurance Management Platform: AI + Certified Experts \| SecurityPal AI	United States~ en	information-and-network-security HubSpot CMS	robotsllmsaihumans	emailphone	none
forcepoint.com ↗	67 match shared topic	Forcepoint: The #1 AI Data Security Platform	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
darktrace.com ↗	67 match shared topic	Darktrace \| The Essential AI Cybersecurity Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
getastra.com ↗	67 match shared topic	Astra Security - AI Powered Continuous Pentest Platform	en	artificial-intelligence Webflow	robotsllmsaihumans	emailphone	none
endorlabs.com ↗	67 match shared topic	Endor Labs \| Agentic Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
relyance.ai ↗	67 match shared topic	AI data security platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
bigid.com ↗	67 match shared topic	BigID: Enterprise Data Security Platform for DSPM & AI	Israel~ en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
escape.tech ↗	67 match shared topic	Escape: AI-Powered Offensive Security Platform	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
nightfall.ai ↗	67 match shared topic	Nightfall: AI Data Security & Data Loss Prevention Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
saviynt.com ↗	67 match shared topic	Saviynt \| AI-Based Identity Security and Access Management Platform Solutions	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
lakera.ai ↗	67 match shared topic	Lakera: The AI-Native Security Platform to Accelerate GenAI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
esentire.com ↗	67 match shared topic	Managed Detection and Response Services & Security Operations Platform \| eSentire	en	information-and-network-security	robots llmsaihumans	email phone	partial · 9
capsulesecurity.io ↗	67 match shared topic	Capsule Security \| AI Agent Runtime Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deepwatch.com ↗	67 match shared topic	The Leading Managed Security Platform \| Deepwatch	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cynet.com ↗	67 match shared topic	Cynet Unified, AI-Powered Security Platform for MSPs & SMEs	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
cyera.com ↗	67 match shared topic	AI Security Platform \| Protect Data & Secure AI \| Cyera	en	artificial-intelligence	robots llmsaihumans	emailphone	none
airia.com ↗	67 match shared topic	Airia — AI Security & Governance Platform	en	information-and-network-security WordPress	robots llmsaihumans	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.