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Lookout Tech Stack
Mobile security platform using AI and behavioral analysis to detect human-centric attacks
Lookout defends mobile endpoints against social engineering and malware using AI-driven threat detection and behavioral analysis. The tech stack reveals a mature security research operation—assembly-level tools (IDA Pro, Ghidra, Frida), threat intelligence feeds (VirusTotal, Shodan, MITRE ATT&CK)—paired with modern cloud infrastructure (AWS, Google Cloud Vertex AI) and a growing ML pipeline. Hiring is accelerating across engineering, sales, and security roles, while active projects focus on low-latency detection services and ML lifecycle management, suggesting a shift from static signatures toward continuous behavioral monitoring.
Tech Stack 35 technologies
Core StackRuby Scala Go Java Python Ruby on Rails AWS Salesforce NetSuite n8n Workday Marketo Elasticsearch Swift LinkedIn iOS Android Google Cloud's Vertex AI VirusTotal Shodan Lucene AWS Athena IDA Pro Ghidra Frida Wireshark C ARM Assembly Objective-C MITRE ATT&CK+4 more
What Lookout Is Building
◆Challenges
- Real-world scale and performance challenges
- Operationalizing ai across business functions
- Model drift
- Legacy security solutions
- Complex integration puzzles across saas ecosystem
- Expanding channel partner network
- Scaling data ingestion and delivery
- Timely month-end close
- Revenue recognition per asc606
- Process improvement and automation
▲Active Projects
- Core components and services for lookout platform
- Machine learning lifecycle management
- Mobile threat hunting strategy development
- New detection logic development
- Automated testing improvement
- Low latency microservices for lookout platform
- Core component development
- Machine learning lifecycle for lookout edr
- Erp/system implementation projects
- Scalable platform for mobile app analysis
Hiring Activity
25 roles · 15 in 30d
Department
Seniority
Company intelligence
