Ninja Intelligence Ecosystem
Seven-platform intelligence ecosystem spanning CTI, SIEM, OSINT, IAM, and DevSecOps.

Ninja Intelligence Ecosystem
Seven-platform intelligence ecosystem spanning CTI, SIEM, OSINT, IAM, and DevSecOps.
450+ Data Points Per Product and Company
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Ninja Intelligence Ecosystem Description
Ninja Intelligence Ecosystem is a multi-platform cybersecurity and intelligence company offering seven integrated platforms under a unified ecosystem. The platforms span cyber threat intelligence, geopolitical analysis, endpoint detection, OSINT investigation, financial intelligence, identity security, and DevSecOps automation. The seven platforms are: - Signal: A cyber threat intelligence platform featuring a real-time threat graph with over 89,000 IOCs, tracking 245+ threat actors, MITRE ATT&CK mapping, ML-powered risk scoring, adversary digital twins, and graph neural network analysis across 60+ feeds. - Fusion: A geopolitical intelligence platform that combines CTI with geopolitical, economic, and humanitarian data from 68 sources across 8 tiers, including Five Eyes government feeds, GDELT, SIPRI, and global conflict tracking. - Raz0r: A graph-native SIEM and endpoint detection platform built with a Rust memory sensor, ETW kernel tracing, AMSI interception, behavioral heuristics, 33 detection rules, and a 5-phase ransomware kill chain predictor. - Nexus: An OSINT investigative intelligence platform covering sanctions screening, corporate ownership tracing, money flow analysis, UBO resolution, and emergent behavior detection across global registries. - Kin0bi: A financial intelligence platform providing real-time market monitoring across crypto, equities, and forex with ML price prediction, sentiment analysis, and cross-asset correlation. - 1D: An identity intelligence platform for Active Directory and Entra ID attack path analysis, including BloodHound ingestion, kerberoasting detection, shadow admin discovery, and identity risk scoring across hybrid environments. - ANTOS: An AI-orchestrated DevSecOps platform running an 8-stage pipeline using Claude AI for vulnerability triage, cross-source correlation, remediation generation, and compliance reporting across the SDLC.
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