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AI security agent that finds what's actually at risk | Protivis — 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
skenify.com ↗	68 match 2 shared topics	Skenify — Security Clarity at AI Speed	en	artificial-intelligence	robots llmsaihumans	emailphone	none
astvlive.com ↗	68 match 2 shared topics	Dark Asura - AI Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
protegrity.com ↗	68 match 2 shared topics	Protegrity \| AI Security and Data Protection for Enterprises	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
protegrity.ai ↗	68 match 2 shared topics	Protegrity \| AI Security and Data Protection for Enterprises	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
42crunch.com ↗	68 match 2 shared topics	Automate API Security across Agentic Workflows	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
proventra-ai.com ↗	68 match 2 shared topics	Proventra \| AI Agent Security for Prompt Injection & Jailbreak Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2thrivellc.com ↗	67 match 2 shared topics	Cyber Security and AI Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
intent-security.com ↗	67 match 2 shared topics	Intent Security	en	information-and-network-security	robots llmsaihumans	emailphone	none
neogriffin.dev ↗	67 match 2 shared topics	NeoGriffin — Security Proxy for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
protegritydata.com ↗	67 match 2 shared topics	AI Data Security Platform for Secure Enterprise AI \| Protegrity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
attack-intelligence-prevention.com ↗	67 match 2 shared topics	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
attack-intelligence.net ↗	67 match 2 shared topics	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
attack-intelligence.org ↗	67 match 2 shared topics	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
attackintelligenceprevention.com ↗	67 match 2 shared topics	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
attackintelligence.org ↗	67 match 2 shared topics	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
attackintelligence.net ↗	67 match 2 shared topics	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
assetinventory.io ↗	67 match 2 shared topics	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
intertrace.ai ↗	67 match 2 shared topics	Intertrace — Runtime AI Security Platform	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.