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AI-Powered Penetration Testing | Sherlock Forensics — 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
nullscan.io ↗	81 match 2 shared topics	Nullscan - AI-Powered Penetration Testing	en	information-and-network-security	robots llmsaihumans	emailphone	none
red-dragon.ai ↗	73 match 2 shared topics	RedDragon Network Tools - AI-Powered Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
phantomred.com ↗	72 match 2 shared topics	PhantomRed — Autonomous Penetration Testing Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
red-lock.org ↗	72 match 2 shared topics	Redlock - Penetration Testing Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
redspecter.ai ↗	71 match 2 shared topics	RedSpecter AI – Autonomous Penetration Testing Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
astvlive.com ↗	71 match 2 shared topics	Dark Asura - AI Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hypersec.ai ↗	69 match 2 shared topics	HyperSec - AI-Powered Security Testing Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
phasmasecurity.com ↗	69 match 2 shared topics	PhasmaSec — Penetration Testing, AI Red Teaming & Security Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
phishlo.com ↗	69 match 2 shared topics	Phishlo - AI-Powered Security Training	en	information-and-network-security	robotsllmsaihumans	emailphone	none
miloserdov.org ↗	68 match 2 shared topics	Ethical hacking and penetration testing - InfoSec, IT, Kali Linux, BlackArch	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
360sec.com ↗	67 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
0eroshot.com ↗	67 match 2 shared topics	ZeroShot — Offensive Security Testing for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
rac-testing.com ↗	67 match 2 shared topics	RAC-TesTing — AI-Powered Security Assessment	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
red-shield.tech ↗	67 match 2 shared topics	AI Security Testing for Chatbots, Agents & RAG Pipelines \| RedShield AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
catchem.app ↗	66 match 2 shared topics	CATCH-EM - AI-Powered Scam Detection & Fraud Prevention	en	information-and-network-security	robotsllmsaihumans	emailphone	none
missionprotect.io ↗	66 match 2 shared topics	Mission Protect - The AI-Powered Safety Operating System	en	information-and-network-security	robotsllmsaihumans	emailphone	none
phishfort.com ↗	66 match 2 shared topics	PhishFort \| AI-Powered Brand Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
channelseal.com ↗	66 match 2 shared topics	AI-powered visibility and control for data flows in Agentic AI integrations \| channelseal	en	artificial-intelligence	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.