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Attackthealgorithm alternatives & similar sites

Attacking the Algorithm — 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
3alba.com ↗	68 match 2 shared topics	Albatross — Generative Algorithm Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
ccieby30.com ↗	67 match 2 shared topics	Deirra Decoded \| Securing the Future	en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	partial · 13
affinidi.com ↗	65 match 2 shared topics	Affinidi: Building the Internet of Trust	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dosho.io ↗	65 match 2 shared topics	Dosho — The Adversary. Automated.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0run.org ↗	65 match 2 shared topics	runZero: Exposure Management for the AI-attack era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0run.net ↗	65 match 2 shared topics	runZero: Exposure Management for the AI-attack era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
attackmesh.io ↗	65 match 2 shared topics	AttackMesh — The autonomous pentest platform that lives on your infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
atomdrift.org ↗	64 match 2 shared topics	Open-Source Supply-Chain Attack Detection, Powered by Local Deterministic AI - The Atomdrift Project	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cavexia.com ↗	64 match 2 shared topics	Cavexia — Security for the agentic stack	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
cavexia.ai ↗	64 match 2 shared topics	Cavexia — Security for the agentic stack	United States~ en	information-and-network-security	robots llms ai humans	emailphone	none
intelmicrosys.com ↗	64 match 2 shared topics	IMS — The New Perimeter	en	information-and-network-security	robotsllmsaihumans	emailphone	none
purecipher.com ↗	64 match 2 shared topics	PureCipher - Safeguard the Future of Artificial Intelligence	en	information-and-network-security	robots llmsaihumans	emailphone	none
lithtrix.com ↗	64 match 2 shared topics	Lithtrix — The agent harness. Identity, memory, trust.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
netstar.ai ↗	64 match 2 shared topics	NetSTAR.ai \| The Intelligence Behind Every Click	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
psyops.io ↗	64 match 2 shared topics	PSYOPS.IO - Navigating the Disinformation Matrix	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
attackbranch.com ↗	64 match 2 shared topics	AttackBranch — AI threat modeling for modern architectures	en	information-and-network-security	robots llmsaihumans	emailphone	none
neoncyber.com ↗	64 match 2 shared topics	Neon Cyber \| Browser Security for the AI Workforce	en	information-and-network-security	robots llmsaihumans	emailphone	none
asymptotelabs.ai ↗	64 match 2 shared topics	Asymptote: The Security Harness for AI Agents	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.