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Temperlabs alternatives & similar sites

Temper Labs — Security Testing for AI Agents and LLM Prompts — 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
0eroshot.com ↗	79 match 2 shared topics	ZeroShot — Offensive Security Testing for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
getziran.dev ↗	75 match 2 shared topics	Ziran Cloud — AI Agent Security Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ztklabs.com ↗	72 match 2 shared topics	ztkLabs — Cybersecurity for AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentbreaker.club ↗	72 match 2 shared topics	AgentBreaker \| Adversarial AI Agent Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentcheck.clinic ↗	71 match 2 shared topics	AgentCheck — AI Bot Health Check & Security Testing \| Free Scan	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
agentcheck.care ↗	71 match 2 shared topics	AgentCheck — AI Bot Health Check & Security Testing \| Free Scan	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
manta.red ↗	71 match 2 shared topics	Manta Security - AI Agent Red Team Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xclaw.dev ↗	71 match 2 shared topics	Local AI pentesting for security teams	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 7
retestme.com ↗	71 match 2 shared topics	Retestme - Penetration Testing & AI Security Scans	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aapt.online ↗	71 match 2 shared topics	AAPT — AI Agent Penetration Testing \| LLM, MCP & GraphQL Security	en	information-and-network-security	robots llmsaihumans	emailphone	none
astrix.security ↗	71 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
agentsec.agency ↗	71 match 2 shared topics	AgentSec — AI Agent Security Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
wing.security ↗	70 match 2 shared topics	Wing Security - AI Agent Protection	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
neuraltrusts.com ↗	70 match 2 shared topics	NeuralTrust \| The Platform for AI and Agent Security	en	information-and-network-security Storyblok	robotsllmsaihumans	emailphone	none
neuraltrust.ai ↗	70 match 2 shared topics	NeuralTrust \| The Platform for AI and Agent Security	en	information-and-network-security Storyblok	robots llmsaihumans	emailphone	none
neuraltrust.app ↗	70 match 2 shared topics	NeuralTrust \| The Platform for AI and Agent Security	en	information-and-network-security Storyblok	robots llmsaihumans	emailphone	none
neural-trust.com ↗	70 match 2 shared topics	NeuralTrust \| The Platform for AI and Agent Security	en	information-and-network-security Storyblok	robots llmsaihumans	emailphone	none
stellaraegis.ai ↗	70 match 2 shared topics	StellarAegis — AI Agents for Security	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.