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Amal PK - Application Security Analyst — 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
0xprasanna.com ↗	76 match 1 shared topics	Prasanna \| Application Security Portfolio	en	information-and-network-security	robotsllmsaihumans	email phone	none
jamesotten.com ↗	76 match 1 shared topics	Application Security Blog	en	information-and-network-security	robotsllmsaihumans	emailphone	none
owleye.com ↗	76 match 1 shared topics	OwlEye \| Application Security Testing \| Security Analyst-Led Service	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
threatrepel.com ↗	74 match 1 shared topics	ThreatRepel \| Application Security Experts for Startups & SMBs	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
detasecure.com ↗	74 match 1 shared topics	Trusted Experts in Application Security \| DeTaSECURE	en	information-and-network-security	robotsllmsaihumans	emailphone	none
webhoundsecurity.com ↗	74 match 1 shared topics	WebHound — Web Application Security Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
webyith.ai ↗	73 match 1 shared topics	Webyith \| Web application security \| Singapore	en	information-and-network-security Wix	robotsllmsaihumans	emailphone	partial · 8
webyith.com ↗	73 match 1 shared topics	Webyith \| Web application security \| Singapore	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
garrettdevelops.com ↗	72 match 1 shared topics	Garrett Morgan \| Cybersecurity Analyst	en	information-and-network-security	robotsllmsaihumans	email phone	none
mistan.dev ↗	72 match 1 shared topics	Mistan Khomdram — Cybersecurity Analyst & Penetration Tester	en	information-and-network-security	robots llmsaihumans	emailphone	none
dentoolzeg.com ↗	71 match 1 shared topics	Johnathan Eskander - Security Analyst	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
boostsecurity.io ↗	71 match 1 shared topics	Application Security Management & Supply Chain Protection \| BoostSecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scoutbloc.com ↗	71 match 1 shared topics	ScoutBloc - DAST & Web Application Security Testing in Singapore \| Automated VAPT	Singapore~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberion.me ↗	71 match 1 shared topics	Cyberion Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
galahcyber.com ↗	71 match 1 shared topics	Australia’s Application Security Experts \| Galah Cyber	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
paezsrl.com ↗	71 match 1 shared topics	PAEZ S.R.L. - Secure VPN Application \| Online Privacy & Security	Argentina~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
owasp.com ↗	70 match 1 shared topics	OWASP Foundation, the Open Source Foundation for Application Security \| OWASP Foundation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
janbrennenstuhl.com ↗	70 match 1 shared topics	Brennenstuhl on Security	en	information-and-network-security	robots llmsaihumans	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.