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Sites similar to web3security.ai

Web3Security alternatives & similar sites

Web3 Security.AI — Smart Contract Security Tools & Auditor Directory — 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
web3sec.ai ↗	75 match 2 shared topics	web3sec.ai - AI-Driven Smart Contract Audits & Web3 Security Reviews	en	information-and-network-security	robotsllmsaihumans	emailphone	none
owdit.com ↗	74 match 2 shared topics	Owdit - Smart Contract Security Score	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thornmail.com ↗	74 match 2 shared topics	Thornmail - AI-Powered Smart Contract Security Audits	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scabench.com ↗	73 match 2 shared topics	SCABench: The Definitive Benchmark for AI in Smart Contract Security	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ctfbench.com ↗	70 match 2 shared topics	CTFBench - Benchmarking AI Smart Contract Auditors	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gardachain.com ↗	70 match 2 shared topics	GardaChain \| Trusted Security. Smarter Audits.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
webamour.app ↗	69 match 2 shared topics	WebAmour \| AI-Powered Security Audits	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mend.io ↗	69 match 2 shared topics	Mend.io \| Application Security and AI Security, Unified	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ai-security-expert.com ↗	69 match 2 shared topics	AI Security Consultant — Automated Cybersecurity for SMEs	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ai-security-consultant.com ↗	69 match 2 shared topics	AI Security Consultant — Automated Cybersecurity for SMEs	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
jandmsecuritysolutions.com ↗	68 match 2 shared topics	J&M Security Solutions — Intelligent Security Integration	en	information-and-network-security	robotsllmsaihumans	email phone	none
diffsec.dev ↗	68 match 2 shared topics	diff sec — open source AI for product security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
360sec.com ↗	68 match 2 shared topics	AI-Powered Cybersecurity Services — MDR, Red Teaming & AI Security Testing \| 360 Security Group	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xdkay.me ↗	68 match 2 shared topics	Dongkwan Kim \| Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mdlshield.com ↗	68 match 2 shared topics	MDL Shield — Security Reviews for Moodle™ Plugins	en	information-and-network-security	robotsllmsaihumans	emailphone	none
snyk.co ↗	68 match 2 shared topics	Snyk AI Security Fabric \| Secure Code, Models & Agents \| Snyk	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
gabrielslab.com ↗	68 match 2 shared topics	Gabriel's Lab — Cybersecurity & AI Research	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
astrix.security ↗	67 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	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.