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SpyCloud Tech Stack
Identity threat protection platform powered by recaptured darknet data
SpyCloud ingests and transforms recaptured darknet data—breaches, malware-infected devices, phishing logs—into automated identity threat protection and ransomware prevention. The tech stack reveals a mature ML/AI operation: PyTorch, TensorFlow, scikit-learn, XGBoost, plus OpenAI and Anthropic, all backing threat intelligence, incident detection, and risk-scoring engines. Active adoption of SOAR platforms and heavy hiring in sales (8 roles) and engineering (6 roles) signals scaling from detection into investigation and remediation workflows.
Tech Stack 67 technologies
Core StackOpenAI Anthropic Python PyTorch TensorFlow scikit-learn Apache Airflow Apache Spark Pandas AWS Kubernetes Splunk Postman JavaScript Active Directory Windows Server Azure AD Okta Salesforce ZoomInfo XGBoost Tines Okta Workflows cURL OAuth Maltego IBM i2 Analyst's Notebook Ping Identity Palo Alto XSOAR Azure Sentinel+36 more
AdoptingSOAR
What SpyCloud Is Building
◆Challenges
- Improving software quality
- Accelerating delivery timelines
- Scalable api integrations
- Integration performance optimization
- Automation opportunities
- Enhancing threat intelligence models
- Improving incident detection accuracy
- Automating recaptured data collection
- Improving etl pipelines
- Improving fidelity of intelligence signals
▲Active Projects
- Adversary hunting with spycloud data
- Acquiring and parsing recaptured underground data
- Automated ci/cd pipelines
- Ai-powered testing framework development
- Audience & targeting
- Ai-driven test environment roadmap
- Threat intelligence ml solution
- Incident detection ml system
- Risk scoring ml engine
- Scalable api integrations across systems
Hiring Activity
25 roles · 15 in 30d
Department
Seniority
Company intelligence
