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IncidentFlow - AI Tabletop Exercises for Cyber Teams | IncidentFlow — 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
vitruviuscyber.com ↗	66 match 2 shared topics	Vitruvius Cyber Systems \| AI Security and Zero Trust Advisory	en	information-and-network-security	robots llmsaihumans	emailphone	none
ekaiai.com ↗	66 match 2 shared topics	Ekai CoWork — Secure AI Co-Workers for Cybersecurity Teams	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
vivesecurity.com ↗	66 match 2 shared topics	ViveSecurity - AI-Powered Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
spiderq.tech ↗	66 match 2 shared topics	SpiderQ - AI agent	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
rootcybersolutions.com ↗	65 match 2 shared topics	RootCyber Solution — Agentic AI · GovTech · Cybersecurity	en	artificial-intelligence	robots llmsaihumans	email phone	none
roqnetworks.com ↗	65 match 2 shared topics	Commander - Cybersecurity Platform as a Service	en	information-and-network-security	robotsllmsaihumans	emailphone	none
voicesbylisa.com ↗	65 match 2 shared topics	Red Team Operations & Offensive Security Testing \| AI Red Teaming Australia \| Frontier Cyber	Australia~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
carnmorcyber.com ↗	65 match 2 shared topics	Càrn Mòr Cyber \| Michael Coyle, AI & Security Architect	United Kingdom~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
ctrlsec.io ↗	65 match 2 shared topics	CtrlSec — AI-Powered Cybersecurity Platform	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xclaw.dev ↗	65 match 2 shared topics	Local AI pentesting for security teams	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 7
cardinalsbytes.com ↗	65 match 2 shared topics	Audit-Ready AI Cybersecurity for CPAs, Tax Pros & Bookkeepers \| CardinalsByte	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
spog.ai ↗	65 match 2 shared topics	Cyber Governance & Exposure Management Platform \| SPOG.AI	en	information-and-network-security	robots llmsaihumans	emailphone	none
ctrlg.ai ↗	65 match 2 shared topics	Ctrl+G \| The Data Lab for AI Cybersecurity	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
360sec.com ↗	65 match 2 shared topics	AI-Powered Cybersecurity Services — MDR, Red Teaming & AI Security Testing \| 360 Security Group	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
abstract.engineering ↗	65 match 2 shared topics	Seif.ai - Continuous cybersecurity across all assets	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ambient.ai ↗	64 match 2 shared topics	Prevent security incidents with computer vision intelligence \| Ambient.ai	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
spamclean.ai ↗	64 match 2 shared topics	SpamClean AI - Intelligent Email Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
volkano.io ↗	64 match 2 shared topics	Volkano.io AI Cyber Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	email phone	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.