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ASPM, AI Remediation & Secrets Scanning: AI-Native Application Security — 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
deflectra.com ↗	69 match 3 shared topics	Deflectra \| The Leading Agentic Security Application	en	software-and-applications	robotsllmsaihumans	emailphone	none
tromzo.com ↗	69 match 3 shared topics	Agentic Application Security Testing Software Platform \| Checkmarx - Checkmarx	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
meetbastion.dev ↗	69 match 3 shared topics	Bastion \| AI-native Compliance & AI-ready Security Platform	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 5
trellosys.com ↗	68 match 3 shared topics	Trellosys \| AI, Application Development & Cybersecurity	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
idoxai.com ↗	68 match 3 shared topics	AI Redaction Software & AI Security Platform \| iDox.ai	United States~ en	artificial-intelligence	robotsllmsaihumans	email phone	none
idox-ai-support.com ↗	68 match 3 shared topics	AI Redaction Software & AI Security Platform \| iDox.ai	United States~ en	artificial-intelligence	robotsllmsaihumans	email phone	none
idoxai-data.com ↗	68 match 3 shared topics	AI Redaction Software & AI Security Platform \| iDox.ai	United States~ en	artificial-intelligence	robotsllmsaihumans	email phone	none
altaisoftcorp.com ↗	66 match 3 shared topics	Altai Soft Corporation LLC \| Modern Software & AI Security Consulting	en	software-and-applications	robotsllmsaihumans	emailphone	none
procurize.ai ↗	66 match 3 shared topics	AI-Powered Security & Compliance Automation Platform	en	artificial-intelligence	robots llmsaihumans	emailphone	none
myguardowl.com ↗	64 match 3 shared topics	Guard Owl - Smart Security Management Platform \| Real-Time Guard Tracking & Reporting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
myguardowlapp.com ↗	64 match 3 shared topics	Guard Owl - Smart Security Management Platform \| Real-Time Guard Tracking & Reporting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
proguardowl.com ↗	64 match 3 shared topics	Guard Owl - Smart Security Management Platform \| Real-Time Guard Tracking & Reporting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
keik.ai ↗	64 match 3 shared topics	Keikai - AI Broke Security. AI Fixes It.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
id-pal.com ↗	64 match 3 shared topics	ID-Pal - Identity Verification Software	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
idpalsolutions.com ↗	64 match 3 shared topics	ID-Pal - Identity Verification Software	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
alynxsecurity.com ↗	63 match 3 shared topics	Alynx SecUnit \| The Autonomous Desktop Agent	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cve2metric.tech ↗	63 match 3 shared topics	cve2metric	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
idscentral.com ↗	62 match 3 shared topics	IdentityCentral — Unified Identity Intelligence Platform	en	software-and-applications	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.