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AppOmni Tech Stack
SaaS and AI security platform with unified threat detection and posture management
AppOmni built the SSPM category in 2018 and is now extending those principles into AI security monitoring. The tech stack reveals a mature ML engineering operation: Python + FastAPI + LangChain/LangGraph for AI logic, Kubernetes + GitOps + Terraform for infrastructure, and Apache Airflow + Dataflow + PySpark for data pipelines. Active hiring skews heavily toward senior and lead engineers in ML/data roles, paired with a greenfield data science build and multiple detection-logic projects — indicating a shift from posture-checking toward real-time threat correlation and AI-activity monitoring.
Tech Stack 28 technologies
Core StackPython FastAPI LangChain Terraform Salesforce Zoom ServiceNow Workday Django Docker Go Grafana Prometheus Kubernetes Helm CircleCI AWS Slack Apache Airflow PySpark LangGraph LangSmith Box GitOps Knative GCP Dataflow Google Cloud Pub/Sub
What AppOmni Is Building
◆Challenges
- Identifying unsanctioned saas tools
- Identifying saas security risks early
- Preventing saas data breaches
- Monitoring ai-related activity
- Detecting misconfigurations in saas
- Reliability and scalability risks
- Real-time threat detection
- Protecting saas applications from data breaches
▲Active Projects
- Genai infrastructure and deployment pipelines
- Monitoring and alerting systems
- Ci/cd pipelines for backend services and ml workflows
- Develop detection logic for saas threats
- Build posture checks for saas applications
- Greenfield data science and machine learning system
- Proof of concept for ai tool
- Data governance and security standards implementation
- Risk scoring and prioritization system
- Investigation triage response features
Hiring Activity
6 roles · 6 in 30d
Department
Seniority
Company intelligence
