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Priveras | AI-Powered Privacy Impact Assessments - Priveras - Automated Privacy Impact Assessment — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
korrosiv.ai ↗	65 match 2 shared topics	Korrosiv.AI \| AI-Powered Penetration Testing Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ai-security-consultant.ch ↗	65 match 2 shared topics	AI Security Consultant — Automated Cybersecurity for SMEs	Switzerland en	artificial-intelligence	robotsllmsaihumans	emailphone	none
vladdex.com ↗	65 match 2 shared topics	Vladdex \| AI-Powered Penetration Testing	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	partial · 5
hex.co ↗	64 match 2 shared topics	Hex Security \| AI-Powered Autonomous Penetration Testing	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
esstp.com ↗	64 match 2 shared topics	ESSTP \| AI-Powered Enterprise Risk & Compliance Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1privacy.ai ↗	64 match 2 shared topics	1Privacy.ai — AI-first privacy. One tool for everything you need.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
1-pro.net ↗	64 match 2 shared topics	1PRO Solutions - AI-Powered Cybersecurity & Innovation \| Enterprise Security Services	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
vivesecurity.com ↗	64 match 2 shared topics	ViveSecurity - AI-Powered Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
overwatchsecurity.tech ↗	64 match 2 shared topics	Overwatch Security \| AI-Powered Managed Detection & Response	en	information-and-network-security	robotsllmsaihumans	emailphone	none
devharsh.me ↗	64 match 2 shared topics	Devharsh Trivedi - PhD, CISSP, Privacy & Cryptography	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hexagonsystemss.com ↗	64 match 2 shared topics	Hexagon Systems - AI-Powered Security & Intelligence Solutions	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
avatier.com ↗	64 match 2 shared topics	AI Powered IAM & Security Solutions - Avatier	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
complicer.com ↗	64 match 2 shared topics	Complicer - Compliance Automation Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pol-acc.com ↗	64 match 2 shared topics	ControlAI - Automated AI GRC Compliance and Safety	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
compunite.com ↗	63 match 2 shared topics	AI-Powered IT & Cybersecurity Solutions \| Mindcore	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
etbix.com ↗	63 match 2 shared topics	Cetbix® \| AI-Powered Enterprise Platform for Cybersecurity, GRC, and OT Governance	UK~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
shukranapp.com ↗	63 match 2 shared topics	ShukranApp \| AI-Powered Smart Security & Camera Intelligence Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ctrlsec.io ↗	63 match 2 shared topics	CtrlSec — AI-Powered Cybersecurity Platform	India~ 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.