Automation-Driven Open XDR Platform with AI SIEM and NDR

COMPANY OVERVIEW

Founded in 2015, Stellar Cyber is the only AI-native SecOps platform purpose-built for MSSPs and lean enterprise security teams. Trusted by one-third of the world's top 250 MSSPs and over 14,000 organizations worldwide, Stellar Cyber earned the #2 position in the MSSP Alert 2025 Top 250 MSSPs report — climbing from #10 to #3 to #2 in consecutive years. The platform unifies AI SIEM, NDR/OT, ITDR/UEBA, Open XDR, and Multi-Layer AI™ under a single license, eliminating the tool sprawl that burdens modern security operations. Raised over $68M in total funding including a $38M Series B led by Highland Capital Partners with participation from Samsung, SIG, Valley Capital Partners, and Northern Light Venture Capital.

CORE FOCUS

Stellar Cyber transforms security operations from reactive, analyst-driven triage into an automation-driven, AI-augmented machine that detects, investigates, and responds at machine speed. The platform ingests and normalizes data from every security tool and data source across an organization's environment — network, endpoint, identity, cloud, and logs — applying Multi-Layer AI™ to correlate signals, surface high-fidelity detections, and eliminate false positives before they ever reach an analyst. The result: MTTD reduced by 8x, MTTR slashed by 20x, analyst productivity improved by over 80%, and false positives cut by more than 90%. The Human-Augmented Autonomous SOC model keeps humans in the loop for strategic decisions while AI executes the high-volume, repetitive work that consumes analyst capacity.

PRODUCTS & TOOLS

Open XDR Platform – Unified SecOps platform consolidating detection, investigation, and response across the full attack surface.

• Ingests and correlates data from existing EDR, SIEM, UEBA, NDR, and cloud security tools without replacing them
• Normalizes data across all sources and applies AI to find real attack patterns hidden in alert noise
• Provides NG-SIEM, NDR, ITDR/UEBA, Open XDR, and SOAR capabilities under one license
• Open architecture preserves existing security investments and eliminates vendor lock-in
• Delivers 8x improvement in MTTD and 20x improvement in MTTR versus traditional SOC approaches

AI SIEM – Next-generation SIEM with multi-layer AI for automated threat detection and case management.

• Aggregates and normalizes logs from any source with automated parsing and enrichment
• Multi-Layer AI™ correlates events into high-fidelity cases, eliminating alert fatigue
• AI-driven case narratives automatically summarize investigation context for analysts
• Reduces false positives by over 90% through behavioral baselining and anomaly scoring
• Adaptive intelligence learns from analyst feedback to continuously improve detection accuracy

NDR / OT – Network Detection and Response with full-spectrum visibility across IT and OT environments.

• Passive network monitoring with deep packet inspection across enterprise and OT/ICS networks
• Detects lateral movement, command-and-control, data exfiltration, and protocol anomalies
• Correlates network signals with identity, endpoint, and cloud data for complete attack chain visibility
• Unified NDR and ITDR in version 6.3 correlates identity, network, and endpoint signals into a single view

ITDR / UEBA – Identity Threat Detection and Response with behavioral analytics.

• Detects account compromise, credential abuse, insider threats, and privilege escalation
• User and entity behavioral analytics baseline normal patterns and surface anomalous activity
• Correlates identity signals with network and endpoint data to eliminate blind spots
• Automated response playbooks contain identity threats before lateral movement occurs

Human-Augmented Autonomous SOC – Agentic AI platform that executes autonomous investigation and response with human oversight.

• Agentic AI guides response recommendations in real time, reducing decision burden on analysts
• Model Context Protocol (MCP) in v6.3 enables seamless integration of third-party AI agents and bots
• Machine learning uncovers hidden anomalies while agentic AI recommends and executes containment actions
• Human-in-the-loop design ensures analysts retain control over high-stakes response decisions
• Analyst productivity improved by more than 80% through automated triage and investigation workflows