Aubesecurity provides AI‑driven insider‑threat detection for critical infrastructure by continuously analyzing Linux audit logs at the command‑level, without requiring agents or baseline training. Its dynamic probability models surface rare, high‑impact privileged misuse and other anomalous actions, delivering concise, evidence‑based reports that reduce manual log‑review effort by up to 100 %. The solution integrates with existing syslog/SIEM pipelines, enabling rapid deployment for regulated industries.
Funding
Funding not disclosed
Founders
Product
Problem
Large enterprises managing critical infrastructure must audit thousands of Linux servers to meet strict compliance, but manual log review is labor‑intensive and baseline‑based UEBA solutions struggle with dynamic normal behavior, leading to missed rare privileged misuse and high false‑positive noise.
Solution
Aubesecurity’s AUBE platform continuously parses Linux auditd logs at the user, command, and argument level using a dynamic probability‑model AI that requires no baseline or agents. The system highlights low‑frequency, high‑impact deviations—such as privileged ID misuse—directly from existing audit logs, delivering concise, reproducible reports that serve both security monitoring and compliance evidence. By eliminating warm‑up periods and baseline maintenance, AUBE provides actionable alerts from day one while reducing manual log‑review effort to near zero. The output integrates with existing audit and SIEM workflows, enabling CISO teams to focus on remediation rather than data collection.
Target Audience
Primary customers are CISOs and security operations teams responsible for critical infrastructure in regulated sectors such as finance, telecom, healthcare, and other compliance‑driven industries.
Features
- Agent‑less analysis of native Linux audit logs with full command‑argument granularity
- Baseline‑free AI model that detects rare, high‑impact deviations without a learning period
- Automated whitelist feedback loops to suppress repeat false positives
- Concise, audit‑ready reports pinpointing who, when, and what action was anomalous
- Sequence and timing dynamics modeling to capture subtle behavioral drift
- Compatibility with existing syslog/SIEM pipelines for seamless integration