Pain Points Faced by CISOs
- Audit burden & compliance risk: Monthly command‑log reviews are mandated but practically impossible across large estates.
- Alert fatigue from existing tools: SIEM/UEBA flood analysts with false positives and need long baselines.
- Challenges with Baseline Maintainability:
- A short learning period results in a biased baseline; a long one leaves outdated behaviors lingering and renders them meaningless.
- Unable to keep up with dynamically changing normal behavior, requiring manual retraining and adjustment.
- Syslog and SIEM integration results in the loss of some logs, leading to anomaly learning.
- Since there is no specific explanation for the abnormality, it is not possible to explain objectively "why it is abnormal."
How AUBE removes these pain points
- Command-Level Automated Auditing (No Agent or Baseline Required): Continuously analyzes auditd logs at the user, command, and parameter levels for each server.
- Detects Low-Frequency Deviant Operations: Identifies deviant operations that evade detection and inconspicuously repeated signs of fraud.
- Don't Overwhelm Your Field with Unnecessary Insights: Minimal results indicating who, when, and what deviated are output in report format, which can also be used for audits.
- No Baseline Setting Required: Past operational logs, which may contain dangerous events, hinder analysis, so there's no need to set a baseline.
Outcome
- 100% reduction in manual log review workload thanks to automated log analysis
- Verified continuous monitoring for compliance
- Immediate detection of privilege misuse at every analysis cycle
- ROI within the first audit cycle
AUBE turns compliance‑driven review into proactive, AI‑driven security assurance.
feature
AUBE — Detect what conventional UEBA overlooks
AUBE identifies rare, high‑impact misuse of privileged access without brittle baselines. Start with the risks that matter most, then scale across your estate.
input
- Linux audit logs
- Identity / privilege events
modeling
- Sequence & timing dynamics
- In depth property analysis
- Automated whitelist feedback loops
output
- Narrowed down rare-event surfaced
- Suspected privilege misuse
- Actional report
Overview
AUBE applies stochastic dynamical model‑based AI to detect subtle distortions in authorized user operations—patterns too rare to form a baseline yet too impactful to ignore. Focus first on privileged identities and high‑value systems for immediate coverage.
- Baseline‑free - Valid from day one with no warm-up period.
- Rare‑event sensitivity - Extract low-frequency but severely affected deviant operations without treating them as noise.
- Log‑centric - Can be deployed with existing audit and system logs. No intrusive agents required.
- Evidence based - Unlike conventional AI, reproducibility of analysis reports is always ensured.
- Actionable reports - Pinpoints signs of insider threats. Concise narratives and whitelist updates reduce repetitive false positives.
Who benefits first?
- Critical infrastructure
- Telco / MEC & edge
- Financial / healthcare
- Regulated enterprises
Prioritize critical accounts/assets and expand after risk convergence.
Positioning vs UEBA / EDR/XDR
| Capability | AUBE | UEBA | EDR/XDR |
| Privileged misuse (rare) | Strong | Baseline‑dependent | Process‑level; noisy |
| Baseline required | unnecessary | Required | long vowel mark (usually only used in katakana) |
| Data Source | Audit/System Log | Multi‑telemetry | Endpoint sensors |
| Time‑to‑value | Few days | Weeks to months | Several weeks |
| Ops overhead | Low | Middle to High | Medium |