Log Sentry: One-Upload Login Anomaly Report

Inspiration: Quality Service

Enterprise security teams inspect server login logs daily, manually spotting suspicious logins and brute-force attempts, then writing incident briefings with remediation advice.

Why Ordinary People Can't Access It

Dedicated security staff are expensive and only affordable for well-funded companies. Ordinary site owners and indie developers lack the expertise to read thousands of login records, and outsourced security audits cost thousands per engagement, leaving small teams exposed or reacting only after breaches.

AI-Powered Equalizer

Users simply upload SSH, control-panel, or system login log files. AI parses the records, compares them against historical login baselines, flags unusual IPs, odd hours, and repeated failed attempts, then produces a plain-language, risk-ranked anomaly list with step-by-step remediation advice. Local parsing mode keeps raw logs on the user's own device.

Key Features

• Drag-and-drop log upload with auto-detection of common formats
• Flags anomalous logins by location and time against personal baselines
• Detects high-frequency failed attempts to pinpoint brute-force source IPs
• Risk-ranked anomaly list with plain explanations and fix-it steps
• Local parsing mode keeps raw log data off the cloud