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AI-Facilitated Tabletop Exercises with After-Action Reports — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
adversary-x.com ↗	69 match 2 shared topics	AI Cyber Tabletop Exercise Platform \| Adversary X	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agentichardening.ai ↗	65 match 2 shared topics	Agentic Hardening — Curated Agentic AI Security Resources	en	information-and-network-security	robotsllmsaihumans	emailphone	none
simplesec.ai ↗	65 match 2 shared topics	AI Pentesting Tool \| Automated Penetration Testing Platform \| SimpleSec	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ovalix.io ↗	65 match 2 shared topics	Protect Your Enterprise AI Ecosystem with Ovalix	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 4
ovalix.ai ↗	65 match 2 shared topics	Protect Your Enterprise AI Ecosystem with Ovalix	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 4
agentactionfirewall.com ↗	65 match 2 shared topics	Agent Action Firewall - AI Agent Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentveil.dev ↗	65 match 2 shared topics	AgentVeil — Verifiable Action Control for Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentkeeper.dev ↗	64 match 2 shared topics	AgentKeeper: Enable AI adoption without giving up control	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
threat-echo.com ↗	64 match 2 shared topics	ThreatEcho \| Free Cybersecurity Threat Intelligence Report in 60 Seconds	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ambient.ai ↗	64 match 2 shared topics	Prevent security incidents with computer vision intelligence \| Ambient.ai	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
deshcyber.com ↗	64 match 2 shared topics	DeshCyber \| AI-Based Cybersecurity, GRC, and Automation Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scanlabsai.com ↗	64 match 2 shared topics	AI Website Security Scanner — Instant PDF Reports \| ScanLabsAI	en	information-and-network-security	robots llmsaihumans	emailphone	none
agentshield.cloud ↗	64 match 2 shared topics	AgentShield — Open-Source Prompt Injection Detection for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentpassports.org ↗	64 match 2 shared topics	Agent Passports - Portable Identity, Credentials, and Delegation for Autonomous Agents	en	artificial-intelligence	robots llmsaihumans	emailphone	none
waversec.com ↗	64 match 2 shared topics	AI Email Anomaly Detection \| Stop Misdirected Emails \| WaverSec Protect	Estonia~ en	artificial-intelligence	robots llms aihumans	emailphone	none
agentdna.com ↗	64 match 2 shared topics	AgentDNA \| Identity, Authorization & Provenance for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agent-sentinel.ai ↗	64 match 2 shared topics	Agent Sentinel — AI Agent Auditing with Constellation Proofs	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
threatlookup.com ↗	64 match 2 shared topics	Varist - AI-Scale Malware Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8

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.