BlinkOps Tech Stack
AI-native security automation platform for incident response and SOC operations
BlinkOps builds a security workflow automation platform centered on AI agents and natural-language prompt generation. The stack spans Go, Python, Java across Docker/Kubernetes on AWS/Azure/GCP, with Kafka and RabbitMQ for event streaming—a multi-cloud, polyglot foundation typical of platforms designed for scale and integration breadth. Active hiring is sales-heavy (6 roles) relative to engineering (5), paired with a director-level sales leadership gap being filled, signaling aggressive go-to-market expansion. Projects underscore a shift from template-based automation toward autonomous agents and deterministic workflow development, while pain points cluster tightly around incident velocity and alert fatigue—the core problems the platform targets.
Tech Stack 26 technologies
What BlinkOps Is Building
◆Challenges
- Zero-day threat response
- Faster incident response
- Manual security operations
- Automating detection ingestion
- Cross-environment hunting
- Eliminating alert fatigue
- Staying ahead of cyber threats
- Slow incident response to zero-day threats
- Channel conflict neutralization
- Channel strategy scaling
▲Active Projects
- Autonomous agent and deterministic workflow development
- Security automation platform
- Ai model integration
- Prompt engineering for llms
- Proof of concept (poc) development
- Proof of concept execution
- Regional ecosystem architecture
- Blinkops playbook scaling
- Annual business plan execution
- Mid-west go-to-market strategy
Hiring Activity
Department
Seniority
Notable leadership hires: Sales Director
