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ReliaQuest Tech Stack
Agentic AI platform for threat detection and automated security response
ReliaQuest operates a security operations platform built on a heavy data-processing stack—Kafka, Elasticsearch, Spark, TensorFlow—designed to handle ultra-low-latency threat detection and response. The active project list and pain-point clustering around continuous integration, data ingestion, and automation signal a company still optimizing its core platform reliability and deployment velocity; hiring has decelerated while engineering remains the largest department, suggesting focus on consolidation over expansion.
Tech Stack 63 technologies
Core StackAWS Ansible Terraform Java JavaScript Python Elasticsearch Kafka Apache Spark Hadoop TensorFlow Angular React Jira Active Directory C++ GCP F5 Spring Boot Logstash Hive Kibana Athena Presto Bigtable Azure Teams macOS Windows Microsoft 365+33 more
What ReliaQuest Is Building
◆Challenges
- Automating threat detection and response
- Continuous integration deployment
- Software development lifecycle improvement
- Improving workflow and process management
- Streamlining onboarding technology experience
- Software development lifecycle optimization
- Data parsing and ingestion issues
- Manually working security alerts
- Vulnerability management
- Ultra-low-latency processing of cybersecurity data
▲Active Projects
- Evolving greymatter ai cybersecurity platform
- Integrate log sources
- Deploy detection rules
- Rest api integrations for threat detection
- Infrastructure projects to improve workflow
- Ultra-low-latency cybersecurity data processing
- Continuous integration and deployment of agent software
- Conduct advanced investigations
- Performance instrumentation and monitoring
- Purchase order process
Hiring Activity
30 roles · 4 in 30d
Department
Seniority
Company intelligence
