similar sites

Browse

AI Report Tools

Sites similar to defensivelayer.net

Defensivelayer alternatives & similar sites

Siddhant Tupe | Cyber Security Architect & Engineering Leader — 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
hasplabs.com ↗	76 match 1 shared topics	Hasp Labs — Security Architecture & Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
samirtahir.com ↗	74 match 1 shared topics	Samir Tahir \| Enterprise Cyber Security Architect for Regulated Transformation	en	information-and-network-security	robots llms aihumans	emailphone	none
0xsha.io ↗	74 match 1 shared topics	0xSHA · Security Research & Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
joshgracie.com ↗	73 match 1 shared topics	Josh Gracie - Cyber Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
haxsecurity.com ↗	73 match 1 shared topics	HAX Security — Modern Cyber Defense, Engineered	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurityalerts.net ↗	73 match 1 shared topics	Home \| Cyber Security Alerts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberlion.pro ↗	72 match 1 shared topics	Technical Localization for IT, Cybersecurity & Engineering \| CYBERL10N	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sanitecai.com ↗	72 match 1 shared topics	Sanit Engineering Consultancy \| Cybersecurity & IT Services	LK~ en	information-and-network-security	robotsllmsaihumans	email phone	none
survivaltrait.com ↗	72 match 1 shared topics	Matthew P. Jennings \| Cybersecurity Architect & Speaker	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurityangels.net ↗	72 match 1 shared topics	Cyber Security Angels	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
jmpsec.com ↗	72 match 1 shared topics	JMP Sec \| Security Engineering Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptosmith.com ↗	72 match 1 shared topics	Cryptosmith – Cyber and security architecture, not bitcoins	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cstl.com ↗	72 match 1 shared topics	CST \| Cyber Security & Information Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybercode.solutions ↗	72 match 1 shared topics	CyberCode.Solutions \| Neural Sentinel – Next-Gen Security Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurity.run ↗	72 match 1 shared topics	Tools & Information \| Cyber Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
swift-safe.com ↗	72 match 1 shared topics	SwiftSafe \| Cyber Security Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
swiftsafe.com ↗	72 match 1 shared topics	SwiftSafe \| Cyber Security Solutions	en	information-and-network-security	robots llmsaihumans	emailphone	none
cyberdd.co.uk ↗	72 match 1 shared topics	CyberDD \| Cyber Security	GB en	information-and-network-security Wix	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.