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Securisk alternatives & similar sites

Security Risk 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
mediaecologymap.org ↗	76 match 1 shared topics	5D Risk Assessment Model	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csvpro.io ↗	74 match 1 shared topics	Cybersecurity Assessment Prototype	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fiberwolfnet.com ↗	73 match 1 shared topics	Cybersecurity - MDR - Risk Assessments - United States	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
csmap.dev ↗	72 match 1 shared topics	SMAP - Security Maturity Assessment Portal	en	information-and-network-security	robotsllmsaihumans	emailphone	none
corlexis.com ↗	72 match 1 shared topics	Corlexis: IT Security Risk Assessment Services for Businesses \| CorLexis	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cti-maturity.com ↗	71 match 1 shared topics	CTI Maturity Assessment Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
365assessment.com ↗	71 match 1 shared topics	365 Security Assessment \| SSPM for Microsoft 365	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
365securityassessment.com ↗	71 match 1 shared topics	365 Security Assessment \| SSPM for Microsoft 365	en	information-and-network-security	robots llmsaihumans	emailphone	none
m4cybersolutions.com ↗	70 match 1 shared topics	M4 Cyber Solutions · Security assessments & reporting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
4warn.me ↗	70 match 1 shared topics	4WARN.ME – Security Risk Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
indisec.com ↗	69 match 1 shared topics	Gap & Risk Assessment for DPDP Compliance \| IndiSec	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
octagarisk.co.uk ↗	69 match 1 shared topics	Octaga Risk Management - Close Protection - Risk Assessments - Security Surveillance	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
imtiazseraj.com ↗	69 match 1 shared topics	Imtiaz Seraj \| Security Risk Architect & Advisor	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
indiasecurityreview.com ↗	69 match 1 shared topics	India Security Review	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
baisecurity.net ↗	69 match 1 shared topics	IT Security Assessment & Compliance Audit Firm - BAI Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
toreroriskadvisors.com ↗	69 match 1 shared topics	Cybersecurity Risk Advisors \| Torero Risk Advisors	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
security-audit.eu ↗	69 match 1 shared topics	security audit eu	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
csata.info ↗	69 match 1 shared topics	Security News Hub	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.