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Bltz AI - Agentic Defensive AI 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
42crunch.com ↗	72 match 2 shared topics	Automate API Security across Agentic Workflows	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
backslash.security ↗	72 match 2 shared topics	Backslash \| Agentic AI Endpoint Security Platform	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
blackmatterdefense.com ↗	70 match 2 shared topics	Black Matter Defense — Enterprise AI Security Consultancy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
incidentresponseplatform.com ↗	70 match 2 shared topics	Swimlane: Agentic AI Security Automation, Hyperautomation, SOC Automation	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
blinkops.org ↗	70 match 2 shared topics	Agentic Security Operations Platform \| BlinkOps	United States~ en	artificial-intelligence Webflow	robotsllmsaihumans	emailphone	none
0eroshot.com ↗	70 match 2 shared topics	ZeroShot — Offensive Security Testing for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
astrix.security ↗	69 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
impartsecurity.ai ↗	69 match 2 shared topics	AI Runtime Defense \| Impart Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
impartsecurity.org ↗	69 match 2 shared topics	AI Runtime Defense \| Impart Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
impartsecurity.io ↗	69 match 2 shared topics	AI Runtime Defense \| Impart Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
impartsecurity.com ↗	69 match 2 shared topics	AI Runtime Defense \| Impart Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
fendray.com ↗	69 match 2 shared topics	Fendray \| The agent security platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
impervius.ai ↗	69 match 2 shared topics	Impervius.ai \| Impenetrable AI Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcptotal.io ↗	69 match 2 shared topics	Autonomous Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lampsec.dev ↗	68 match 2 shared topics	LAMPSEC — Autonomous AI Security Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fencio.dev ↗	68 match 2 shared topics	Fencio — Runtime Control & AI Security for AI Agents	en	artificial-intelligence	robots llmsaihumans	emailphone	none
spotem.ai ↗	68 match 2 shared topics	AI Security Cameras & Surveillance \| AI CCTV Monitoring Solutions	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
onezania.com ↗	68 match 2 shared topics	AI Compliance Agents for Security & Risk \| Zania	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.