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Docguard alternatives & similar sites

Docguard | Detect malwares in seconds! — 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
snort.org ↗	65 match shared topic	Snort - Network Intrusion Detection & Prevention System	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ipqualityscore.com ↗	65 match shared topic	IP Intelligence, Bot Detection, Fraud Detection \| IPQS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gosecure.net ↗	65 match shared topic	24/7 managed detection, response, and expert cybersecurity services - GoSecure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
illumio.com ↗	65 match shared topic	Breach Containment & AI Cloud Detection and Response \| Illumio	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
prisoncellphones.com ↗	65 match shared topic	meshDETECT - Secure Prison Cell Phone Solutions - meshDETECT, Secure Prison Cell Phone Solutions ™	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
pixelscan.net ↗	65 match shared topic	Pixelscan \| Fast multi-check tool for detection analysis	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackpointcyber.com ↗	65 match shared topic	Managed Detection and Response (MDR) Platform - Blackpoint Cyber	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
vmlogin.us ↗	65 match shared topic	vmlogin - Antidetect Multi-Login Browser	United States en	information-and-network-security	robotsllmsaihumans	emailphone	none
arbornetworks.com ↗	65 match shared topic	Arbor DDoS Detector – Defend Against DDoS Attacks	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
apivoid.com ↗	65 match shared topic	Cybersecurity APIs for Threat Detection, Analysis & Prevention \| APIVoid	en	information-and-network-security	robotsllmsaihumans	emailphone	none
xlogin.us ↗	65 match shared topic	XLogin — Antidetect Browser for Multi-Account Management & Fingerprint Isolation	United States en	information-and-network-security	robots llmsaihumans	emailphone	none
arbor.net ↗	65 match shared topic	Arbor DDoS Detector – Defend Against DDoS Attacks	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
digitalfootprintcheck.com ↗	65 match shared topic	Free Digital Footprint Checker - See Your Online Presence in 60 Seconds	Australia~ en	information-and-network-security	robots llms aihumans	emailphone	partial · 8
ixbrowser.com ↗	65 match shared topic	ixBrowser - Forever free anti-detect browser	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dimva.org ↗	65 match shared topic	DIMVA - Conference on Detection of Intrusions and Malware & Vulnerability Assessment	en	information-and-network-security	robotsllmsaihumans	emailphone	none
anonym.legal ↗	65 match shared topic	Enterprise PII Detection & Anonymization \| anonym.legal	en	information-and-network-security	robots llms ai humans	emailphone	none
cybermaxx.com ↗	65 match shared topic	Managed Detection & Response \| CyberMaxx Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ict.co ↗	65 match shared topic	ICT Unified Access Control & Intruder Detection Technology \| ICT	Colombia en	information-and-network-security	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.