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Sites similar to byteorb.org

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ByteOrb — Secure Software Development, Built Right — 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
uvcheerful.com ↗	72 match 2 shared topics	UVCheerful \| AI, Cybersecurity, Software Development & IT Training in Bangalore	en	information-and-network-security	robotsllmsaihumans	emailphone	none
accendum.com ↗	69 match 2 shared topics	Accendum — Cybersecurity · AI / ML · IT Development	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
dependencies.com ↗	68 match 2 shared topics	Safety - The AI Development Security Platform	en	artificial-intelligence	robots llmsaihumans	emailphone	none
barath.ai ↗	68 match 2 shared topics	Barath Subramaniam — Securing the AI-native developer.	US~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
carrolldot.com ↗	68 match 2 shared topics	Mike Carroll \| Identity Security & AI Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dreadnode.biz ↗	67 match 2 shared topics	Dreadnode — AI Infrastructure for Security Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
synervialabs.com ↗	67 match 2 shared topics	Synervia Labs — Secure AI Infrastructure for Enterprise Systems	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
hashmarksecurity.com ↗	67 match 2 shared topics	HashMark Security \| AI-Powered Privacy Compliance for Developers	en	information-and-network-security	robotsllmsaihumans	emailphone	none
useagentguard.com ↗	66 match 2 shared topics	AgentGuard — Security & Cost Control Layer for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
playtemp.com ↗	66 match 2 shared topics	Vern Labs — Security infrastructure for AI systems	en	information-and-network-security	robotsllmsaihumans	emailphone	none
useekai.com ↗	66 match 2 shared topics	Ekai CoWork — Secure AI Co-Workers for Cybersecurity Teams	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
devsecai.io ↗	66 match 2 shared topics	DevSecAI — Security for AI-Generated Code	en	information-and-network-security	robotsllmsaihumans	emailphone	none
joinekai.com ↗	66 match 2 shared topics	Ekai CoWork — Secure AI Co-Workers for Cybersecurity Teams	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cupnstring.com ↗	66 match 2 shared topics	Cup'n'String — AI Agent Security Control Plane for MCP, Local Runtimes & Developer Workstations	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
demandpath.com ↗	66 match 2 shared topics	Sigil Browser — Secure Browser Agent for Enterprise	en	information-and-network-security	robotsllmsaihumans	emailphone	none
defenseops-ai.dev ↗	66 match 2 shared topics	DefenseOps AI — Internal Developer Portal	en	information-and-network-security	robots llmsaihumans	emailphone	none
cyberstrategy.tech ↗	66 match 2 shared topics	CyberStrategy Consulting \| Identity, Software, and AI Automation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
device.ai ↗	66 match 2 shared topics	Device.AI — See every device. Stop every bot.	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.