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Flyto2 alternatives & similar sites

Evidence-backed CTEM for attack surface, dark web, and code risk — Flyto2 — 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
brandsek.com ↗	68 match 1 shared topics	ScruteX \| CTEM, Attack Surface & Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
flawatch.com ↗	66 match 1 shared topics	Flawatch \| Real-Time Attack Surface Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mirsad.io ↗	66 match 1 shared topics	Mirsad — External Attack Surface Management	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
constella.ai ↗	66 match 1 shared topics	Identity Risk Intelligence & Dark Web Monitoring \| Constella	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
4iq.com ↗	66 match 1 shared topics	Identity Risk Intelligence & Dark Web Monitoring \| Constella	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
traverseminds.com ↗	66 match 1 shared topics	Traverse Minds Africa — Built for Africa, Driven by Evidence	UG~ en	information-and-network-security Sanity	robotsllmsaihumans	emailphone	partial · 8
cyberintel.training ↗	66 match 1 shared topics	OSINT & Attack Surface Intelligence Services London & The UK	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
defendra.dev ↗	66 match 1 shared topics	Defendra — Domain Attack-Surface Scanner (Email + Web)	en	information-and-network-security	robots llmsaihumans	emailphone	none
kanismp.net ↗	65 match 1 shared topics	intliq.ai — Dark Web Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aarakshak.com ↗	65 match 1 shared topics	Aarakshak - Evidence Workbench for Verified Presence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
breachsense.com ↗	65 match 1 shared topics	Data Breach & Dark Web Monitoring \| Breachsense	United States~ en	information-and-network-security	robots llms aihumans	emailphone	none
cubesigner.net ↗	65 match 1 shared topics	Cubist - Hardware-backed Key Management & Embedded Wallets for Web3	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cubist.dev ↗	65 match 1 shared topics	Cubist - Hardware-backed Key Management & Embedded Wallets for Web3	en	information-and-network-security	robotsllmsaihumans	emailphone	none
defendwise.com ↗	65 match 1 shared topics	DefendWise — Flat-Fee Human Risk Management for MSPs	en	information-and-network-security	robots llmsaihumans	emailphone	none
mcpscanner.dev ↗	65 match 1 shared topics	MCP Scanner — Scan your MCP servers before attackers do. · by codelake	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
mcpscanner.app ↗	65 match 1 shared topics	MCP Scanner — Scan your MCP servers before attackers do. · by codelake	en	information-and-network-security	robotsllmsaihumans	emailphone	none
a2as.org ↗	65 match 1 shared topics	A2AS Framework for AI Agent Security and Certification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybrbolt.com ↗	65 match 1 shared topics	Cybrbolt \| The All-In-One Security and Compliance System for Growing Businesses in Europe	en	information-and-network-security	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.