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Aisa alternatives & similar sites

AISA Training - Applied Hands-On Infrastructure Security Assessment — 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
spam-view.org ↗	73 match 1 shared topics	Halon \| Email Infrastructure and Security	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
spam-monitor.com ↗	73 match 1 shared topics	Halon \| Email Infrastructure and Security	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
spam-monitor.org ↗	73 match 1 shared topics	Halon \| Email Infrastructure and Security	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
spam-monitor.net ↗	73 match 1 shared topics	Halon \| Email Infrastructure and Security	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
spammonitor.org ↗	73 match 1 shared topics	Halon \| Email Infrastructure and Security	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
spammonitor.net ↗	73 match 1 shared topics	Halon \| Email Infrastructure and Security	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
csmap.dev ↗	73 match 1 shared topics	SMAP - Security Maturity Assessment Portal	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vladcorsac.com ↗	72 match 1 shared topics	Vlad Corsac — Cybersecurity & Digital Infrastructure	en	information-and-network-security	robotsllmsaihumans	email phone	none
cmmc-nist800-171.com ↗	72 match 1 shared topics	Elite Cybersecurity Assessments	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
apdian.mp ↗	72 match 1 shared topics	apdian.mp — IT Security & Infrastructure Expert	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
nopubly.com ↗	71 match 1 shared topics	NOPUBLY - Global Cybersecurity & Defense Infrastructure	en	information-and-network-security	robots llmsaihumans	emailphone	none
egusystems.com ↗	70 match 1 shared topics	EguSystems LLC \| Enterprise IT Infrastructure & Cybersecurity	United States~ en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
mechanisms.app ↗	70 match 1 shared topics	mechanisms.app — Secure Alert Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csvpro.io ↗	70 match 1 shared topics	Cybersecurity Assessment Prototype	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cure53.co.uk ↗	70 match 1 shared topics	Cure53 – Security assessments for software that matters.	United Kingdom en	information-and-network-security	robotsllmsaihumans	email phone	none
heliosec.io ↗	70 match 1 shared topics	Helios Security \| Managed Security Services & Assessments	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcybr.net ↗	70 match 1 shared topics	Monarch Cyber Strategies \| Precision Security for Critical Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcybr.com ↗	70 match 1 shared topics	Monarch Cyber Strategies \| Precision Security for Critical Infrastructure	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.