Piperic Business Intelligence
similar sites
‹ profile

Sites similar to getidee.com

IDEE — MFA 2.0. Phishing ends here. · ranked by category · tech stack · backlink co-citation
42match
mantislabs.ai
Mantis Labs | Security Engineered from Inception
0 co-citations3 shared tech1 shared categoryartificial-intelligence
42match
julianclaxton.com
Julian Claxton – Counterespionage & Behavioural Intelligence Advisor
1 co-citations3 shared tech1 shared categoryinformation-and-network-security
42match
apxlabs.ai
APX | Pentesting that reasons.
1 co-citations3 shared tech1 shared categoryinformation-and-network-security
40match
aqago.com
Aqa | Security for Embedded Systems
0 co-citations2 shared tech1 shared categoryinformation-and-network-security
39match
cecuresolutions.com
Home - CecureSolutions | Leading Cybersecurity Solutions Provider
1 co-citations2 shared tech1 shared categoryinformation-and-network-security
39match
juliedavila.com
Julie Davila
1 co-citations2 shared tech1 shared categoryinformation-and-network-security
39match
a2g-cyber.com
A2g Cyber | Bespoke Cyber Security Consultancy
1 co-citations2 shared tech1 shared categoryinformation-and-network-security
38match
dhananjaymali.com
Dhananjay Mali
1 co-citations2 shared tech1 shared categoryinformation-and-network-security
38match
haynesbrain.com
Jackson Haynes | Portfolio
1 co-citations2 shared tech1 shared categorytechnology-and-computing
38match
devploit.dev
Daniel Púa · devploit · Security Researcher
1 co-citations2 shared tech1 shared categoryinformation-and-network-security
37match
jaminbecker.com
Jamin Becker
2 co-citations2 shared tech1 shared categoryinformation-and-network-security
37match
kymauwa.com
Kyma Uwa — Cybersecurity Professional
1 co-citations2 shared tech1 shared categoryinformation-and-network-security
37match
anuragbathani.com
Anurag Bathani — Cybersecurity Engineer
1 co-citations2 shared tech1 shared categoryinformation-and-network-security
36match
kandilsolutions.com
IT Support & Security for DC Law Firms | Kandil Solutions
1 co-citations2 shared tech1 shared categoryinformation-and-network-security
36match
kenleeser.com
Ken Leeser
1 co-citations2 shared tech1 shared categoryinformation-and-network-security
36match
mallorycavalheiro.com
Mallory CAVALHEIRO – IT Support N2/N3
1 co-citations2 shared tech1 shared categoryinformation-and-network-security
36match
jamiemillar.com
Jamie Millar
1 co-citations2 shared tech1 shared categoryinformation-and-network-security
36match
hemisx.com
HemisX – Advanced Cloud Security & Red/Blue Team Tools
1 co-citations2 shared tech1 shared categoryinformation-and-network-security

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:

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.