E
Endor Labs Tech Stack
AI-powered application security platform for code risk prioritization
Endor Labs builds an AI-driven AppSec platform that combines static analysis (SAST/DAST), software composition analysis (SCA), and agentic workflows to identify and remediate code vulnerabilities. The tech stack—Go, gRPC, GraphQL, Bazel, Kubernetes, PostgreSQL—reflects a backend-heavy architecture optimized for parsing complex codebases at scale. Active adoption of Gemini and RAG signals a strategic pivot toward AI-assisted vulnerability triage and knowledge retrieval, directly addressing stated pain points around pinpointing critical risks in complex software.
Tech Stack 65 technologies
Core StackGo gRPC GraphQL Java Maven JavaScript Python PostgreSQL Kubernetes C++ Salesforce Asana HubSpot Canva Slack JUnit Jenkins GitLab CI/CD Postman AWS Thrift Bazel Spring Boot Gradle SAST DAST Webflow TestNG Pytest npm+34 more
What Endor Labs Is Building
◆Challenges
- Pinpointing risks in complex software
- Identifying critical risks in complex software
- Scaling backend infrastructure
- Backend scaling challenges
- Brand visibility
- Optimizing paid channel roi
- Scaling backend for saas products
- Detecting 0-day vulnerabilities
- Reducing time spent on security issues
- Scalability, reliability, and performance of backend systems
▲Active Projects
- Core backend infrastructure for saas products
- Rag-based knowledge systems
- Conduct recurring business reviews
- Supply chain security feature
- Agent workflows for auto-triage
- Development of exploit code
- Evaluation of security tools
- Oversight of vulnerability database ingestion
- Building scalable sales processes and playbooks
- Improving reporting, insights, and territory planning
Hiring Activity
25 roles · 20 in 30d
Department
Seniority
Notable leadership hires: Sales Director
Company intelligence
