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SJD Stackwork | High-Risk Integrations & System Reliability — 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 Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
sscv-framework.org ↗	66 match 2 shared topics	SSCV Framework - Contextual Vulnerability Risk Scoring \| System Security Context Vector	en	information-and-network-security	robotsllmsaihumans	emailphone	none
splamfilter.com ↗	65 match 2 shared topics	Mattermost \| Collaboration Platform for Mission Critical Work	United States~ en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
chainsafe.io ↗	64 match 2 shared topics	ChainSafe Systems	en	technology-and-computing	robotsllmsaihumans	emailphone	none
blackhart.io ↗	64 match 2 shared topics	BlackHart, risk intelligence for DeFi	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cseregistry.org ↗	64 match 2 shared topics	CSE Registry - Compliance Signal Enumeration	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onlinealert.com ↗	64 match 2 shared topics	OnlineAlert.com — Technology Alert Systems, Cybersecurity Signals, Monitoring Dashboards & Digital Intelligence News	en	technology-and-computing	robotsllmsaihumans	emailphone	none
felixaziaklo.com ↗	64 match 2 shared topics	Felix K Aziaklo \| System Testing & Cybersecurity	en	information-and-network-security Spree Commerce	robotsllmsaihumans	email phone	none
mcpblog.dev ↗	63 match 2 shared topics	MCPBlog.dev — The MCP Ecosystem Blog	en	information-and-network-security	robots llmsaihumans	emailphone	none
squad1.io ↗	63 match 2 shared topics	Unified RBVM Platform \| Prioritize Real Risk with SQUAD1	en	technology-and-computing	robotsllmsaihumans	emailphone	none
cyberange.eu ↗	63 match 2 shared topics	Cyber Range Solutions \| SaaS & Bespoke On-prem \| CybExer	European Union en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
0xkannan.ninja ↗	63 match 2 shared topics	Kannan K \| Security Engineer & Full-Stack Builder	en	information-and-network-security	robotsllmsaihumans	emailphone	none
md5-encryption.com ↗	63 match 2 shared topics	md5-encryption.com \| Hashing, Checksums & Modern Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fensprotocol.com ↗	63 match 2 shared topics	FENS Protocol: Provably Optimal Decisions \| FINALITY PROVEN	en	technology-and-computing	robots llmsaihumans	emailphone	none
1io.com ↗	62 match 2 shared topics	The foundation for digital sovereignty and resilience · 1iO	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
blackhatwing.com ↗	62 match 2 shared topics	BlackHatWing - Advanced Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2dgsolutions.com ↗	62 match 2 shared topics	2DG Solutions – California Based Technology Experts	en	information-and-network-security Spree Commerce	robotsllmsaihumans	email phone	none
fencemile.com ↗	62 match 2 shared topics	ElementCore – Secure Technology & Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
onixlabsglobal.com ↗	62 match 2 shared topics	ONIX LABS \| Sovereign Systems	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.