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Riskadvisor alternatives & similar sites

Risk Advisor - By Datarisk Canada — 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
securitycompliance.ca ↗	79 match 1 shared topics	Security Compliance - By Datarisk Canada	Canada en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
supplychainsecurity.ca ↗	77 match 1 shared topics	Supply Chain Security - By Datarisk Canada	Canada en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
healthcaresecurity.ca ↗	74 match 1 shared topics	Healthcare Security - By Datarisk Canada	Canada en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
essersgroup.com ↗	69 match 1 shared topics	QUOSTATS - Cybersecurity and Risk Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
365striker.com ↗	67 match 1 shared topics	Information Security Experts \| 365 Striker Advisory	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
bayesguard-advisory.com ↗	66 match 1 shared topics	BAYES-GUARD Advisory, LLC	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hexdrift.com ↗	66 match 1 shared topics	Independent Cybersecurity Advisory - India & GCC	en	information-and-network-security	robotsllmsaihumans	emailphone	none
landersandcompany.com ↗	66 match 1 shared topics	Landers and Company - FedRAMP Advisory	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
siakantaris.com ↗	66 match 1 shared topics	George Siakantaris \| Technology & Information Security Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
siberdefense.com ↗	66 match 1 shared topics	Siber Defense – Your Trusted Advisor – Your Trusted Advisor	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
ozux.org ↗	66 match 1 shared topics	Ozux - GDPR Compliance and Cybersecurity Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
voidvuln.com ↗	66 match 1 shared topics	VoidVuln \| Security Research & Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
herrinadvisory.com ↗	66 match 1 shared topics	Herrin Advisory \| Cybersecurity & Technology Leadership Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
conquestsec.com ↗	66 match 1 shared topics	Conquest Security \| Fractional CISO & Security Program Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
conquestsecurity.com ↗	66 match 1 shared topics	Conquest Security \| Fractional CISO & Security Program Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
conquestsecurity.ai ↗	66 match 1 shared topics	Conquest Security \| Fractional CISO & Security Program Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
accessitgroup.com ↗	65 match 1 shared topics	Cybersecurity Advisory and Solutions Leader \| AccessIT Group	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
alfords.io ↗	65 match 1 shared topics	Scott Alford \| Executive Cybersecurity Advisor	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.