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LLM Agent Guard | Enterprise AI Security & Prompt Shield — 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
llmguardpro.com ↗	78 match 2 shared topics	LLMGuard Pro — Enterprise AI Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
llmdatasecurity.com ↗	74 match 2 shared topics	Redactive \| Enterprise AI Security Platform	en	information-and-network-security Storyblok	robotsllmsaihumans	emailphone	none
proventra-ai.com ↗	73 match 2 shared topics	Proventra \| AI Agent Security for Prompt Injection & Jailbreak Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
atelamind.com ↗	73 match 2 shared topics	AtelaMind \| Enterprise AI Architecture, Security & Assurance	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
1pw.ai ↗	72 match 2 shared topics	1PW.AI \| Enterprise Password Security & Bitcoin Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
protegrity.ai ↗	72 match 2 shared topics	Protegrity \| AI Security and Data Protection for Enterprises	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
protegrity.com ↗	72 match 2 shared topics	Protegrity \| AI Security and Data Protection for Enterprises	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
protegritydata.com ↗	72 match 2 shared topics	AI Data Security Platform for Secure Enterprise AI \| Protegrity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
atechds.com ↗	71 match 2 shared topics	A-Tech AI \| Enterprise AI Solutions	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
hp7.io ↗	71 match 2 shared topics	HP7 Security - AI-Powered Enterprise Cybersecurity	en	information-and-network-security	robotsllmsaihumans	email phone	none
avepoint.com ↗	71 match 2 shared topics	AI-Ready Data Security & Governance for Enterprise \| AvePoint	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
astvlive.com ↗	70 match 2 shared topics	Dark Asura - AI Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gateforge.io ↗	70 match 2 shared topics	Gateforge — AI security questionnaires for enterprise deals	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
1-pro.net ↗	70 match 2 shared topics	1PRO Solutions - AI-Powered Cybersecurity & Innovation \| Enterprise Security Services	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
astraaiacademy.com ↗	70 match 2 shared topics	Astra AI \| Enterprise AI Operationalization	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
neociso.com ↗	70 match 2 shared topics	NeoCISO - Pro-Agentic AI for Enterprise Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
intercis.io ↗	70 match 2 shared topics	Intercis — AI Agent Governance for Security Teams	en	information-and-network-security	robotsllmsaihumans	emailphone	none
365architect.com ↗	70 match 2 shared topics	Securing Enterprise Architecture in the AI Era \| 365 Architect	United States~ 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.