Piperic
similar sites
‹ ProfileAI Report

Sites similar to ptass.com

Ptass alternatives & similar sites

PTasS - AI Penetration Testing as a Service — 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 →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
cybersage.solutions 72 match
2 shared topics
CyberSage | AI-Powered Penetration Testing in Ireland en information-and-network-security robotsllmsaihumans emailphone partial · 6
breachme.ai 72 match
2 shared topics
Breachme AI - AI-Powered Penetration Testing | Find Vulnerabilities Fast en artificial-intelligence robotsllmsaihumans emailphone partial · 8
prodexity.com 70 match
2 shared topics
Prodexity | Cybersecurity Consulting & Penetration Testing for EU Businesses Hungary~ en information-and-network-security robotsllmsaihumans emailphone none
flipflow.app 70 match
2 shared topics
Cleo by FlipFlow | AI Security Platform for Penetration Testers en artificial-intelligence robotsllmsaihumans emailphone none
silkaptr.com 69 match
2 shared topics
SilKaPtr - AI-native penetration testing platform that finds chained attack paths 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-securityWordPress robotsllmsaihumans emailphone none
legroupeds.com 68 match
2 shared topics
DS Consortium | Digital Transformation as a Service United Arab Emirates~ en information-and-network-security robotsllmsaihumans emailphone none
0xclaw.dev 67 match
2 shared topics
Local AI pentesting for security teams en information-and-network-security robotsllmsaihumans emailphone partial · 7
deercamp.ca 66 match
2 shared topics
Red Team Operations & Offensive Security Testing | AI Red Teaming Australia | Frontier Cyber Canada en information-and-network-security robotsllmsaihumans emailphone none
1-pro.net 66 match
2 shared topics
1PRO Solutions - AI-Powered Cybersecurity & Innovation | Enterprise Security Services United States~ en information-and-network-security robotsllmsaihumans emailphone none
360sec.com 66 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
preseal.dev 66 match
2 shared topics
preseal — Security testing for AI agents en information-and-network-security robotsllmsaihumans emailphone none
sleepershield.com 66 match
2 shared topics
SleeperShield | AI Model Cleaning Service en information-and-network-security robotsllmsaihumans emailphone none
4hydra.com 65 match
2 shared topics
Hydra Cyber AI — AI Gateway, Manage Service & Secure Digital Transformation en information-and-network-security robotsllmsaihumans emailphone partial · 8
proactcyber.com 65 match
2 shared topics
ProAct Cyber - AI Cybersecurity & Managed Compliance Solutions | Enterprise Security Services United States~ en information-and-network-security robotsllmsaihumans emailphone partial · 8
silkerai.com 65 match
2 shared topics
Silker AI - AI Security Platform | Runtime Protection & Automated Pentesting Poland~ en information-and-network-security robotsllmsaihumans emailphone none
preemptics.com 65 match
2 shared topics
Preemptics | AI Security Testing & Red Teaming Platform en information-and-network-security robotsllmsaihumans emailphone none
proactiveusa.com 65 match
2 shared topics
Proactive Performance Solutions - AI Driven IT Consulting en artificial-intelligenceWordPressWooCommerce 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:

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.