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AI Security Testing for Chatbots, Agents & RAG Pipelines | RedShield AI — 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
0eroshot.com ↗	73 match 2 shared topics	ZeroShot — Offensive Security Testing for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0xclaw.dev ↗	71 match 2 shared topics	Local AI pentesting for security teams	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 7
astvlive.com ↗	70 match 2 shared topics	Dark Asura - AI Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hypersec.ai ↗	70 match 2 shared topics	HyperSec - AI-Powered Security Testing Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
mind-gard.com ↗	69 match 2 shared topics	Mindgard - Automated AI Red Teaming & Security Testing	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mindgard.ai ↗	69 match 2 shared topics	Mindgard - Automated AI Red Teaming & Security Testing	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
hackstery.com ↗	69 match 2 shared topics	hackstery - AI security - penetration tests for LLM systems	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
astrix.security ↗	69 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
mdlshield.com ↗	69 match 2 shared topics	MDL Shield — Security Reviews for Moodle™ Plugins	en	information-and-network-security	robotsllmsaihumans	emailphone	none
shadowshieldai.com ↗	69 match 2 shared topics	ShadowShield AI \| Enterprise AI Security & Data Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nullsquare.net ↗	68 match 2 shared topics	NULLSQUARE - AI Security Agents	en	information-and-network-security	robots llmsaihumans	emailphone	none
mindfulaitech.com ↗	68 match 2 shared topics	Mindful Technologies — AI Security for the Agentic Enterprise	en	information-and-network-security	robotsllmsaihumans	emailphone	none
certifiedaiaccess.ai ↗	68 match 2 shared topics	Certified AI Access - Enterprise AI Security	en	information-and-network-security	robotsllmsaihumans	email phone	none
hackerone-ai.com ↗	68 match 2 shared topics	H1 AI Red Teaming \| Offensive Testing for AI Models \| HackerOne	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	partial · 8
kataiq.com ↗	68 match 2 shared topics	Kataiq — Multi-agent security for LLM applications	en	information-and-network-security	robotsllmsaihumans	emailphone	none
carterchurch.com ↗	68 match 2 shared topics	Carter Church - AI Systems for Security Operations	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
egida.ai ↗	68 match 2 shared topics	Egida — AI Security for AI-Built Apps	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
qshield.app ↗	68 match 2 shared topics	QShield — Enterprise AI Agent Security Control Plane	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.