Customer
Leading SIEM/SOAR Platform Provider
AI-Powered Security Analyst Co-Pilot for a Leading SIEM/SOAR Platform Provider
Key Metrics
60%
Reduction in investigation time
2x
Increase in analyst productivity
40%
Faster threat response (MTTR)
85%
Improved context retrieval
Service Portfolio
AI Security Analyst Co-Pilot Development
Customer Pain Points
How did we resolve customer pain points?
Unified Contextual Intelligence
Aggregated all relevant alarm information in a single conversational interface, eliminating multi-page navigation.
RAG Architecture Implementation
Built vector database with semantic search across 2M+ historical alarms and 50M+ events for instant context retrieval.
Natural Language Interaction
Enabled analysts to query using plain English, reducing cognitive load and accelerating investigations.
Agentic AI for Root Cause Analysis
Autonomous agents navigate across Events, Assets, Vulnerabilities, and Threat Intelligence modules automatically.
Historical Pattern Learning
AI analyzes past successful investigations to provide relevant context and proven remediation strategies.
Native Platform Integration
Embedded Co-Pilot directly into SIEM/SOAR interface with no workflow disruption or separate tools required.
Guided Response Recommendations
Context-aware suggestions for response actions based on similar historical incidents and threat patterns.
Enterprise-Grade Governance
Full audit trails, explainable AI decision logic, and human-in-the-loop validation for critical actions.
