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NebrasApps.com - AI Security Officer for Continuous Compliance — 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
azmoy.com ↗	71 match 2 shared topics	AI Security & EU AI Act Compliance \| Azmoy	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
hashmarksecurity.com ↗	70 match 2 shared topics	HashMark Security \| AI-Powered Privacy Compliance for Developers	en	information-and-network-security	robotsllmsaihumans	emailphone	none
narayananexus.com ↗	70 match 2 shared topics	Narayana Nexus — AI Security Audits, Compliance & Engineering	IN~ en	artificial-intelligence	robots llmsaihumans	emailphone	none
usestrix.com ↗	70 match 2 shared topics	Strix - Autonomous Security for the AI Era	en	artificial-intelligence	robots llmsaihumans	emailphone	none
1hackerone.com ↗	69 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
avertium.com ↗	69 match 2 shared topics	Boost AI security and compliance with Avertium’s expert solutions	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
haqckerone.com ↗	69 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
hasckerone.com ↗	69 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
havckerone.com ↗	69 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
hawckerone.com ↗	69 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
hayckerone.com ↗	69 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
hazckerone.com ↗	69 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
zyphe.com ↗	68 match 2 shared topics	The AI Agents Platform for Compliance \| Zyphe	en	artificial-intelligence	robots llmsaihumans	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
ctrlg.ai ↗	68 match 2 shared topics	Ctrl+G \| The Data Lab for AI Cybersecurity	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybrcon.com ↗	68 match 2 shared topics	Cybrcon — AI Governance & Cybersecurity Compliance Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
usehunto.com ↗	68 match 2 shared topics	Autonomous AI Agents for Cybersecurity \| Hunto AI	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
usequantrovmagent.com ↗	68 match 2 shared topics	AI Agents for Cyber Defense \| Quantro Security	US~ 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.