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Evolve Security alternatives & similar sites

Continuous Penetration Testing | Evolve Security — 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
parameterx.org ↗	74 match 2 shared topics	ParameterX \| AI Security & Penetration Testing Experts	India~ en	information-and-network-security	robots llmsaihumans	emailphone	none
hex.co ↗	73 match 2 shared topics	Hex Security \| AI-Powered Autonomous Penetration Testing	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
vladdex.com ↗	73 match 2 shared topics	Vladdex \| AI-Powered Penetration Testing	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	partial · 5
ethicsecure.com ↗	72 match 2 shared topics	EthicSecure — AI-Powered Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
korrosiv.ai ↗	72 match 2 shared topics	Korrosiv.AI \| AI-Powered Penetration Testing Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
voicesbylisa.com ↗	70 match 2 shared topics	Red Team Operations & Offensive Security Testing \| AI Red Teaming Australia \| Frontier Cyber	Australia~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
vorota.ai ↗	70 match 2 shared topics	Vorota AI \| Security Testing at Machine Speed	en	information-and-network-security	robots llmsaihumans	emailphone	none
etihack.com ↗	69 match 2 shared topics	Ethiack — Autonomous Ethical Hacking for continuous security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ethiak.com ↗	69 match 2 shared topics	Ethiack — Autonomous Ethical Hacking for continuous security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ethiack.io ↗	69 match 2 shared topics	Ethiack — Autonomous Ethical Hacking for continuous security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ethiack.com ↗	69 match 2 shared topics	Ethiack — Autonomous Ethical Hacking for continuous security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mordavid.com ↗	69 match 2 shared topics	MOR DAVID - Penetration Tester \| AI Cyber Operator \| Cyber Security Expert \| Team Leader \| Red Team	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xclaw.dev ↗	69 match 2 shared topics	Local AI pentesting for security teams	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 7
krak-ai.com ↗	69 match 2 shared topics	KRAK AI - LLM Security Testing Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
0eroshot.com ↗	68 match 2 shared topics	ZeroShot — Offensive Security Testing for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0xhunter.io ↗	67 match 2 shared topics	0xHunter - Continous Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sikroad.com ↗	67 match 2 shared topics	Escape: AI-Powered Offensive Security Platform	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
evaluris.com ↗	67 match 2 shared topics	Evaluris Solutions - AI-Powered Cybersecurity & Offensive Security Training \| Evaluris Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8

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.