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Wisr AI | Autonomous Risk Management at Machine Speed — 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
corecyber.io ↗	71 match 2 shared topics	CoreCyber - Your DIY for AI Cyber Risk Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackkitehq.com ↗	69 match 2 shared topics	Black Kite \| Standards-Based Third-Party Cyber Risk Management	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
blackkiteinc.com ↗	69 match 2 shared topics	Black Kite \| Standards-Based Third-Party Cyber Risk Management	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
blackkitesec.com ↗	69 match 2 shared topics	Black Kite \| Standards-Based Third-Party Cyber Risk Management	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
fenneclabs.ai ↗	69 match 2 shared topics	Fennec Labs \| Autonomous AI Penetration Testing Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mcptotal.io ↗	68 match 2 shared topics	Autonomous Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackswantechnologies.com ↗	68 match 2 shared topics	AI, Cybersecurity & Risk Management Consulting \| Black Swan Technologies%	en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
onlinetaniumevents.com ↗	68 match 2 shared topics	Autonomous IT, endpoint intelligence and control	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
onlinetaniumevent.com ↗	68 match 2 shared topics	Autonomous IT, endpoint intelligence and control	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
spog.ai ↗	68 match 2 shared topics	Cyber Governance & Exposure Management Platform \| SPOG.AI	en	information-and-network-security	robots llmsaihumans	emailphone	none
ferralon.com ↗	68 match 2 shared topics	Ferralon — Autonomous Cyber Remediation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sammasuit.com ↗	68 match 2 shared topics	Sammā Suit \| Autonomous agents you can trust.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aaml.live ↗	67 match 2 shared topics	AAML Framework - Autonomous AI Machine Learning Framework with Cognitive Firewall	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lampsec.dev ↗	67 match 2 shared topics	LAMPSEC — Autonomous AI Security Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sanctumai.dev ↗	66 match 2 shared topics	SanctumAI — The identity control plane for autonomous AI agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0run.org ↗	66 match 2 shared topics	runZero: Exposure Management for the AI-attack era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0run.net ↗	66 match 2 shared topics	runZero: Exposure Management for the AI-attack era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
coreholdingcorp.com ↗	66 match 2 shared topics	CoreIdentity \| Institutional Trust Infrastructure for Autonomous Systems	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8

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.