Lumida Security offers AI‑powered agents that ingest raw security telemetry, automatically triage and prioritize alerts, and enrich high‑severity incidents with contextual intelligence. The solution integrates via native connectors with major SIEM and SOAR platforms, delivering up to tenfold gains in analyst efficiency while preserving existing staffing levels. Continuous deep‑learning model updates adapt to emerging threat tactics.
Funding
Funding not disclosed
Founders
Product
Problem
Security operations centers (SOCs) are inundated with high‑volume alerts, many of which are false positives or low‑severity events, forcing analysts to spend disproportionate time on triage. This overload reduces the ability to detect and respond to genuine threats promptly and often requires additional staffing to maintain acceptable response times. Consequently, organizations face higher risk exposure and increased operational costs.
Solution
Lumida Security provides AI‑driven security agents that automatically ingest raw security telemetry, prioritize alerts, and conduct initial threat analysis without human intervention. The agents leverage deep‑learning models trained on diverse attack patterns to filter out noise, enrich remaining alerts with contextual intelligence, and generate actionable recommendations. By embedding directly into existing SIEM and SOAR pipelines, the platform delivers up to tenfold improvements in analyst efficiency while maintaining current headcount. Continuous model retraining ensures adaptation to emerging tactics, techniques, and procedures (TTPs). Analysts receive concise, ranked incident summaries through a unified dashboard, enabling rapid investigation and response.
Target Audience
Primary customers are enterprise SOC teams, managed security service providers (MSSPs), and large‑scale IT security departments that need to streamline alert handling and improve threat response efficiency.
Features
- Deep‑learning based alert triage engine that reduces incoming alerts by up to 95% while preserving high‑severity events
- Automated threat enrichment using threat‑intel feeds, MITRE ATT&CK mapping, and contextual asset data
- Seamless integration via native connectors for leading SIEM/SOAR platforms (e.g., Splunk, Sentinel, Cortex XSOAR) and RESTful APIs for custom pipelines
- Real‑time confidence scoring and prioritization to surface the most critical incidents first
- Continuous model update pipeline that incorporates analyst feedback and new adversary behavior without downtime
- Interactive analyst dashboard with drill‑down visualizations, recommended response playbooks, and audit logs for compliance
- End‑to‑end encryption and role‑based access control to meet SOC‑grade security and regulatory requirements