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Lane Technical — Web 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
applicationsecurity.in ↗	71 match 2 shared topics	Web Application Security Testing & Penetration Testing -	IN en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
zaibaitech.com ↗	67 match 2 shared topics	ZaiBai Tech - Secure Web Development & Cybersecurity Solutions	US~ en	web-development	robotsllmsaihumans	emailphone	none
0dayslash.com ↗	67 match 2 shared topics	0DaySlash — Web3 Security Audits	en	web-development	robotsllmsaihumans	emailphone	partial · 8
iconsteam.com ↗	67 match 2 shared topics	Home \| Web Development, App Development & Cyber Security Services	en	web-development	robotsllmsaihumans	emailphone	none
enspire.lk ↗	67 match 2 shared topics	Enspire – Web Design & CCTV Security Solutions \| Sri Lanka	en	web-development Adobe Experience Manager	robotsllmsaihumans	email phone	partial · 8
futuretechnicals.com ↗	67 match 2 shared topics	Future Technicals - Securing the Digital Frontier, Building the Future	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kwamedavour.com ↗	67 match 2 shared topics	Cybersecurity Consultant \| Penetration Testing \| Secure Web Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyber-ops.co.uk ↗	66 match 2 shared topics	Independent, developer focussed penetration testing specialist for web, api and mobile security - Mothax Ltd.	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
kwalela.com ↗	66 match 2 shared topics	Kwalela Web \| Web Development & Cyber Security in Windhoek	NA~ en	web-development	robotsllmsaihumans	email phone	none
kyccodesystems.com ↗	65 match 2 shared topics	KYC Code Systems \| Secure web development and KYC integration	en	web-development	robotsllmsaihumans	emailphone	none
24sept.com ↗	65 match 2 shared topics	24Sept - Cybersecurity & Secure Development	en	web-development	robotsllmsaihumans	emailphone	none
stopsecurity.net ↗	65 match 2 shared topics	STOP SECURITY - Stop Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cybermediaservices.in ↗	65 match 2 shared topics	Website Audit Report \| Performance & Security Analysis	IN en	information-and-network-security	robotsllmsaihumans	emailphone	none
ibmtechgroup.com ↗	65 match 2 shared topics	IBM Tech Group – Premium Web Development And Security Services	en	web-development WordPress	robotsllmsaihumans	emailphone	none
panhara.app ↗	65 match 2 shared topics	Chhouk Titpanhara \| Cybersecurity Analyst & Full Stack Developer	en	web-development	robotsllmsaihumans	emailphone	none
douglaskwarteng.com ↗	65 match 2 shared topics	Douglas Kwarteng \| Cybersecurity Engineer & Full-Stack Developer	US~ en	web-development	robotsllmsaihumans	email phone	none
ozjan.dev ↗	65 match 2 shared topics	Ozjan \| Cyber Security & Backend Developer	en	web-development	robotsllmsaihumans	emailphone	none
checksecurityheaders.com ↗	65 match 2 shared topics	Check Security Headers - Analyze HTTP Security Headers	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.