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Milesdolphin alternatives & similar sites

– Innovating Customer Experience and Driving Risk Reductio — 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
csoriskcouncil.org ↗	66 match 1 shared topics	CSO Risk Council – Innovative Solutions In Security	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
owaspriskrating.com ↗	65 match 1 shared topics	OWASP Risk Rating Calculator	en	information-and-network-security	robotsllmsaihumans	emailphone	none
connectop-innovate.com ↗	65 match 1 shared topics	OP Innovate Penetration Testing, PTaaS and Incident Response	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
etalc.com ↗	65 match 1 shared topics	Stefan Ćertić - Infosec with Experience	en	information-and-network-security	robotsllmsaihumans	emailphone	none
actiance.com ↗	65 match 1 shared topics	Smarsh: Digital Communications Governance and Archiving	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
connectedarchive.com ↗	65 match 1 shared topics	Smarsh: Digital Communications Governance and Archiving	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
dhound.io ↗	64 match 1 shared topics	Dhound: Pentesting and Security Compliance Audits	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csri.co ↗	64 match 1 shared topics	Deakin Cyber Research and Innovation Hub	Colombia en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
essersgroup.com ↗	64 match 1 shared topics	QUOSTATS - Cybersecurity and Risk Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oxycon.io ↗	64 match 1 shared topics	OxyCon Web Scraping Conference	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cswithvarun.com ↗	64 match 1 shared topics	Engineering Security at the Speed of Innovation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ozux.org ↗	64 match 1 shared topics	Ozux - GDPR Compliance and Cybersecurity Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lasvegascomputerforensic.com ↗	64 match 1 shared topics	Expert Computer and Data Forensics	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2-sec.com ↗	64 match 1 shared topics	UK's Leading Cyber Security Company » Boost Cyber Resilience » 2\|SEC	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
bbitservices.com ↗	64 match 1 shared topics	Baba Baidyanath IT Services – Innovation in Every Step	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
computerforensicsservices.com ↗	64 match 1 shared topics	Expert Computer and Data Forensics	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alertmedia.com ↗	64 match 1 shared topics	AlertMedia - Unified Risk Intelligence & Response	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
digisentinel.org ↗	64 match 1 shared topics	Vigilance in Every Byte – Digital Vigilance Meets Security Experiments	en	information-and-network-security WordPress	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.