AI-powered security operations platform for threat detection and response
Exaforce builds an AI agent platform for security operations centers, combining multi-model LLMs with integrations across Splunk, QRadar, CrowdStrike, and other SIEM/XDR tools. The tech stack—Python, Go, Kafka, Spark, and cloud platforms (AWS, Azure, GCP)—reflects a data-heavy architecture built for high-volume log processing and real-time anomaly detection. Senior engineering and product hiring dominates the org, suggesting focus on deepening AI capabilities and platform stability rather than sales expansion.
Exaforce addresses SOC teams' core challenge: processing massive alert volumes without increasing headcount. The platform uses AI agents (Exabots) to automate threat investigation, detection, and incident response workflows. It ingests data from major SIEM and endpoint detection platforms and applies machine learning to flag anomalies and unknown threats with higher precision than rule-based systems. The company operates with 51–200 employees based in San Jose, backed by Khosla Ventures, Mayfield, and Thomvest Ventures.
Exaforce connects to Splunk, QRadar, CrowdStrike Falcon, Datadog, SentinelOne, Microsoft Defender, Palo Alto Cortex XDR, and Panther, covering both log aggregation and endpoint detection use cases.
Python, Go, C++, Kafka, Apache Spark, Hadoop, Kubernetes, Docker on AWS, Azure, and GCP. Frontend uses React, Angular, and D3.js for data visualization.
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