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Third-Party Risk Management & Customer Trust Software | Whistic — 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
opentext.com ↗	60 match shared topic	OpenText \| Secure Information Management for AI	Canada~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
quest.com ↗	60 match shared topic	AI Data, Cybersecurity & Platform Modernization \| Quest Software	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
checkmarx.com ↗	60 match shared topic	Agentic Application Security Testing Software Platform \| Checkmarx - Checkmarx	en	artificial-intelligence WordPress	robots llmsaihumans	emailphone	none
doppler.com ↗	60 match shared topic	Doppler \| Secrets management for humans and AI agents	en	information-and-network-security Sanity	robotsllmsaihumans	emailphone	none
archipelo.com ↗	60 match shared topic	Archipelo - Developer Security Posture Management Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
runtimeverification.com ↗	60 match shared topic	Runtime Verification - Software Assurance for the AI Age	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
semgrep.dev ↗	55 match shared topic	Semgrep App Security Platform \| AI-assisted SAST, SCA and Secrets Detection	en	information-and-network-security	robots llmsaihumans	emailphone	none
nudgesecurity.com ↗	55 match shared topic	SaaS & AI Security Platform \| SSPM Solution \| Nudge Security	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
bastion.tech ↗	55 match shared topic	Bastion \| AI-native Compliance & AI-ready Security Platform	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 5
nowsecure.com ↗	55 match shared topic	The Mobile App Security Experts \| NowSecure	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
spin.ai ↗	55 match shared topic	SaaS Security Solution - AI Data Protection Platform \| Spin.AI	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
canny.io ↗	52 match shared topic	Canny: AI Customer Feedback Management Software and Tools	en	artificial-intelligence	robots llmsaihumans	emailphone	none
datasubject.com ↗	47 match shared topic	Intuitive Data Privacy Management Software for Compliance \| Osano	en	software-and-applications HubSpot	robotsllmsaihumans	emailphone	none
manageengine.com ↗	47 match shared topic	ManageEngine: ITOps, cybersecurity & service management software	en	software-and-applications	robotsllmsaihumans	emailphone	none
osano.com ↗	47 match shared topic	Intuitive Data Privacy Management Software for Compliance \| Osano	en	software-and-applications HubSpot	robotsllmsaihumans	emailphone	none
connectwise.com ↗	47 match shared topic	IT Management Software - ITSM & MSP Solutions \| ConnectWise	en	software-and-applications	robotsllmsaihumans	emailphone	none
gainsight.com ↗	47 match shared topic	Customer Success and Product Experience Software \| Gainsight	en	artificial-intelligence WordPress	robots llmsaihumans	emailphone	none
captaincompliance.com ↗	47 match shared topic	Captain Compliance - Data Privacy Software & Compliance Management Tools	en	software-and-applications WordPress	robotsllmsaihumans	email phone	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.