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Alphabot Security - Continuous 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
0xprasanna.com ↗	72 match 1 shared topics	Prasanna \| Application Security Portfolio	en	information-and-network-security	robotsllmsaihumans	email phone	none
iamsharan.com ↗	72 match 1 shared topics	Product Security Leader \| Cloud, Kubernetes & Application Security Expert	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alooshd.com ↗	71 match 1 shared topics	Doron Aloosh - Cybersecurity Expert & CISO \| Application Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
d0s.io ↗	71 match 1 shared topics	Day 0 Security - Serious Security	en	information-and-network-security	robotsllmsaihumans	email phone	none
dayzerosecurity.com ↗	71 match 1 shared topics	Day 0 Security - Serious Security	en	information-and-network-security	robotsllmsaihumans	email phone	none
boostsecurity.io ↗	71 match 1 shared topics	Application Security Management & Supply Chain Protection \| BoostSecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
true-positives.com ↗	71 match 1 shared topics	True Positives \| Application Security Testing Solutions	United States~ en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
davyrogers.uk ↗	71 match 1 shared topics	Davy Rogers - Lead Application Security Engineer \| CISSP, OSCP	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
davyrogers.co.uk ↗	71 match 1 shared topics	Davy Rogers - Lead Application Security Engineer \| CISSP, OSCP	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
iam-security.com ↗	71 match 1 shared topics	IAM Security \| IAM Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cybersecurityclarity.org ↗	70 match 1 shared topics	Cybersecurity Clarity - Cybersecurity Education & Resources	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ztasecurity.com ↗	70 match 1 shared topics	ZTA Security - Enterprise Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
breachist.com ↗	70 match 1 shared topics	Breachist Security \| Modern Security Solutions	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
n-security.org ↗	70 match 1 shared topics	n-security - CDN & Website Security Organization	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digpath.co.uk ↗	70 match 1 shared topics	Cyber Security - IT Security - Encryption - Digital Pathways	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
7sec.com ↗	70 match 1 shared topics	Comprehensive Information Security Services - 7Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sinecybersecurity.com ↗	70 match 1 shared topics	Sine Cybersecurity - Proactive Cyber Security Solutions.	en	information-and-network-security	robotsllmsaihumans	email phone	none
2t-security.com ↗	70 match 1 shared topics	2T Security - Cyber Security Specialists	en	information-and-network-security WordPress	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.