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Anvilogic Tech Stack
AI-powered SOC platform unifying detection across hybrid data infrastructure
Anvilogic builds a detection-engineering platform for security operations centers, with an architecture designed around Snowflake and Databricks rather than vendor-locked SIEM appliances. The tech stack—Python, FastAPI, Kafka-adjacent patterns (SQS), and cloud-native orchestration (ECS, EKS, Lambda)—reflects a data-lake-first approach to threat detection. Current hiring activity is sparse but strategically targeted: a director-level Alliances role signals a pivot toward partner ecosystems and revenue acceleration, both flagged as internal pain points.
Tech Stack 24 technologies
Core StackAWS Snowflake Databricks Splunk Python Terraform CloudFormation Grafana Sentry Java Go FastAPI Flask AWS Lambda Azure AWS SAM AWS CDK Pydantic SQLAlchemy Alembic Pytest AWS SQS AWS ECS AWS EKS
What Anvilogic Is Building
◆Challenges
- Centralizing data
- Rip and replace tools
- Scaling data ingestion pipelines
- Normalizing data across stores
- Legacy platforms
- Building partner ecosystem
- Accelerating revenue
▲Active Projects
- Data ingestion and normalization pipelines
- Cloud and data lake integration
- Ai agents platform
- Ai orchestration layer
- Ai conversational ux
- Partner integrations
- Co-marketing campaigns
- Partner onboarding programs
- Enterprise cybersecurity platform
Hiring Activity
6 roles · 1 in 30d
Department
Seniority
Notable leadership hires: Alliances Director
Company intelligence
