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AI Security Questionnaire & RFP Automation | Vera — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
useskypher.com ↗	72 match 2 shared topics	Skypher \| Agentic AI for Security Portals & Questionnaires	US~ en	information-and-network-security	robotsllmsaihumans	email phone	none
swimlane.ai ↗	70 match 2 shared topics	Swimlane: Agentic AI Security Automation, Hyperautomation, SOC Automation	US~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
swimlane.com ↗	70 match 2 shared topics	Swimlane: Agentic AI Security Automation, Hyperautomation, SOC Automation	US~ en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
syncurity.com ↗	70 match 2 shared topics	Swimlane: Agentic AI Security Automation, Hyperautomation, SOC Automation	US~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
deshcyber.com ↗	69 match 2 shared topics	DeshCyber \| AI-Based Cybersecurity, GRC, and Automation Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
urgentic.ai ↗	68 match 2 shared topics	urgentic — Autonomous Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
avinashanshu.com ↗	68 match 2 shared topics	Avinash Anshu \| Secure AI Automation Engineer \| Cybersecurity Expert \| LangChain \| Python \| FastAPI	IN~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
casaba.com ↗	68 match 2 shared topics	AI Security Testing & Penetration Testing Firm \| Casaba Security	US~ en	information-and-network-security	robotsllmsaihumans	email phone	none
avegandoailabs.com ↗	68 match 2 shared topics	AVEGANDO AI Labs \| AI-Powered Solutions \| Cybersecurity & Trading Automation	US~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cybpass.com ↗	68 match 2 shared topics	CybPass \| AI Security	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
usecascoai.com ↗	68 match 2 shared topics	Autonomous Security Testing for Modern Applications \| Casco	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
casco.com ↗	68 match 2 shared topics	Autonomous Security Testing for Modern Applications \| Casco	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
cascohq.com ↗	68 match 2 shared topics	Autonomous Security Testing for Modern Applications \| Casco	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
detectify.com ↗	68 match 2 shared topics	Application security testing reimagined \| Detectify	en	information-and-network-security	robotsllmsaihumans	emailphone	none
usestrix.com ↗	67 match 2 shared topics	Strix - Autonomous Security for the AI Era	en	artificial-intelligence	robots llmsaihumans	emailphone	none
luminaisec.com ↗	67 match 2 shared topics	LuminAI Security - Enabling Secure Adoption of Open-source AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberm8.info ↗	67 match 2 shared topics	Hyper-Automation \| Cyberm8	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
avaly.ai ↗	67 match 2 shared topics	Avaly.ai — AI Security Control Plane	en	artificial-intelligence	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.