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BlockPost Security - access control for Hadoop, Kafka and Hive - BlockPost Security - Hadoop (HDFS/YARN), Kafka, Hive security - RBAC & Audit — 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
1trooper.com ↗	68 match 2 shared topics	1Trooper ERP Security \| Cloud ERP Security Platform	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
2bsip.com ↗	66 match 2 shared topics	2bSIP - Security Improvement Program \| Cloud Security Scanning	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aquasec.com ↗	66 match 2 shared topics	Aqua Cloud Native Security, Container & Serverless Security	en	cloud-computing WordPress	robots llmsaihumans	emailphone	none
incloudsecurity.com ↗	66 match 2 shared topics	InCloud Security Inc.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcpnest.io ↗	65 match 2 shared topics	mcpnest.io — Secure, govern, and deploy MCP servers at scale	en	cloud-computing	robotsllmsaihumans	emailphone	none
csrc-rmf.com ↗	64 match 2 shared topics	SecurityHero RMF Console	en	cloud-computing	robotsllmsaihumans	emailphone	none
thinscale.com ↗	64 match 2 shared topics	ThinScale \| Endpoint Security & Management \| All In One Solution	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
coretisec.com ↗	64 match 2 shared topics	CoretiSec \| Infrastructure, Cloud & Security Consulting	United Arab Emirates~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
imperva.com ↗	64 match 2 shared topics	Cyber Security Leader \| Imperva, Inc.	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
incapstage.com ↗	64 match 2 shared topics	Cyber Security Leader \| Imperva, Inc.	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
coreseciq.com ↗	64 match 2 shared topics	CoreSecIQ \| Security & Compliance for Growing Companies	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
thinkadnet.com ↗	64 match 2 shared topics	IT Services - Cloud - Cybersecurity - ADNET Technologies - CT, NY	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
inawaztech.com ↗	64 match 2 shared topics	Imran Nawaz - Senior GRC Manager \| Cloud Security & AI Governance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lustresconsulting.com ↗	64 match 2 shared topics	Lustres Consulting \| Cloud Infrastructure & Security Consulting \| Canada & UK	Canada~ en	information-and-network-security	robotsllmsaihumans	email phone	none
samma.io ↗	64 match 2 shared topics	Samma.io - Security Scanner Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
samikroy.com ↗	63 match 2 shared topics	Samik Roy - Cloud Security Advocate & Microsoft MVP	en	information-and-network-security	robotsllmsaihumans	emailphone	none
acloudsec.ninja ↗	63 match 2 shared topics	Secure Cloud Solutions \| A Cloud Security Ninja LLC	en	cloud-computing Wix	robots llmsaihumans	emailphone	none
meckenswyter.com ↗	63 match 2 shared topics	Securing, Scaling, Monitoring \| Securing, Scaling, Monitoring	en	cloud-computing	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.