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Sites similar to premonitionsec.com

Premonitionsec alternatives & similar sites

Premonition Penetration Testing LLC. Austin, Tx — 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
prodsecops.com ↗	65 match 2 shared topics	ProdSecOps \| Secure Cloud Migration & Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
prodsecapps.com ↗	65 match 2 shared topics	ProdSecApps \| Managed Application Security & Migration	en	information-and-network-security	robotsllmsaihumans	emailphone	none
brooksconsulting-llc.com ↗	65 match 2 shared topics	Jeff Loughridge \| Brooks Consulting LLC	en	cloud-computing Spree Commerce	robotsllmsaihumans	emailphone	none
amazondetective.com ↗	64 match 2 shared topics	Security Investigation Visualization - Amazon Detective - AWS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
meetkrijn.dev ↗	64 match 2 shared topics	Krijn Brugging \| Azure Administrator - Transitioning to Cloud Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
d10ng.com ↗	64 match 2 shared topics	Cloud-native SIEM & Security Operations Experts \| Ding Dong Techverse	en	information-and-network-security Webflow Spree Commerce	robotsllmsaihumans	emailphone	none
itscarvalho.com.br ↗	64 match 2 shared topics	Emerson Carvalho - Information Technology Security	Brazil en	information-and-network-security	robotsllmsaihumans	emailphone	none
4geeker.com ↗	64 match 2 shared topics	4GEEKER — IT Infrastructure for the Demanding	en	cloud-computing	robotsllmsaihumans	emailphone	none
mylesagnew.com ↗	64 match 2 shared topics	Myles Agnew \| Cyber Security Specialist Australia	Australia~ en	information-and-network-security	robots llmsaihumans	emailphone	none
cerberux-llc.com ↗	64 match 2 shared topics	CERBERUX SOLUTIONS, L.L.C. - Veteran-Owned Cybersecurity & IT Solutions	en	cloud-computing	robotsllmsaihumans	emailphone	none
trilogy-it.com ↗	64 match 2 shared topics	TRILOGY INFORMATION TECHNOLOGY – System Integration solutions	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
ausdatacentre.com.au ↗	64 match 2 shared topics	Secure Colocation & AI Infrastructure \| Australian Data Centre	Australia en	cloud-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
trueconfig.io ↗	64 match 2 shared topics	TrueConfig - Desired State Configuration for Microsoft 365	en	cloud-computing	robots llmsaihumans	emailphone	none
aera.com.au ↗	64 match 2 shared topics	Cloud and Cyber Security Solutions in Australia \| Aera	Australia en	cloud-computing	robotsllmsaihumans	email phone	none
ausitsolutions.com.au ↗	64 match 2 shared topics	Cloud and Cyber Security Solutions in Australia \| Aera	Australia en	cloud-computing	robotsllmsaihumans	email phone	none
mehrazsheikh.com ↗	64 match 2 shared topics	Mehraz Ahmed Sheikh\| Cloud Architect & Security Consultant	en	cloud-computing	robotsllmsaihumans	emailphone	none
idm4real.com ↗	64 match 2 shared topics	IdM for Real \| Complete Identity Orchestration for Microsoft Entra and On Premises Identity and Access	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
sinifx.com ↗	64 match 2 shared topics	Nému Corporation	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.