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mlayer-guard — Runtime prompt injection detection — 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
idpishield.com ↗	74 match 1 shared topics	idpishield — Indirect Prompt Injection Defense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
abyssguard.com ↗	73 match 1 shared topics	AbyssGuard \| Website Protection API & Threat Detection	en	information-and-network-security PrestaShop	robotsllmsaihumans	emailphone	none
eagleeye-intelligence.com ↗	71 match 1 shared topics	EagleEye Security — Real-Time Protection for Agencies	en	information-and-network-security WooCommerce	robotsllmsaihumans	emailphone	none
claw-guard.ai ↗	70 match 1 shared topics	ClawGuard \| AI-Native Threat Detection & Response	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cymost.ai ↗	68 match 1 shared topics	Cymost — Breach detection & response	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberseer.co.uk ↗	67 match 1 shared topics	Cyberseer - Advanced Threat Detection Solutions and Service	GB en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
0xrelayguard.com ↗	67 match 1 shared topics	RelayGuard — Reliable, secure RPC for production Web3	en	information-and-network-security	robotsllmsaihumans	emailphone	none
l2protection.com ↗	67 match 1 shared topics	L2 Protection - Professional Lineage 2 Server Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
clawguard.net ↗	67 match 1 shared topics	ClawGuard — Security for OpenClaw	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ozforensics.com ↗	66 match 1 shared topics	Oz Forensics \| Liveness Detection & Face Matching Solutions	en	information-and-network-security	robots llmsaihumans	emailphone	none
trapwire.com ↗	66 match 1 shared topics	TrapWire \| Threat Detection and Protective Intelligence	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
mine2.io ↗	66 match 1 shared topics	MINE2 - Cyber Deception & Threat Detection Platform	IN~ en	information-and-network-security	robots llmsaihumans	emailphone	none
trapdefense.com ↗	66 match 1 shared topics	TrapDefense \| Runtime control for AI agent actions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rocketcyber.com ↗	66 match 1 shared topics	MDR Services - Managed Detection and Response \| Kaseya	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
detectioninthe.cloud ↗	66 match 1 shared topics	Leonidas Attack Detection Documentation \| Leonidas Documentation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
360sequrity.com ↗	66 match 1 shared topics	360Sequrity – Swift Detection, Ultimate Protection	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
oxrion.com ↗	66 match 1 shared topics	Modern PHP code protection — Oxrion	en	information-and-network-security	robots llmsaihumans	emailphone	none
agentintheloop.ai ↗	66 match 1 shared topics	Rodela Shield delivers lightning-fast, rock-solid defense against prompt injection, data exfiltration, and MCP tool abuse, protecting your AI assistants before damage is done. \| Rodela	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.