09/30/2026
Logster v1.3.0 brings AI-powered PowerShell analysis, evidence-level detection, and improved retention controls to threat detection.
Encoded PowerShell has long been a blind spot for endpoint detection. Attackers can hide discovery and ex*****on inside Base64 and other obfuscation techniques, making command lines difficult to interpret and investigate.
With Logster v1.3.0, our AI engine can analyze PowerShell script content, decode obfuscated commands, and determine what the script is actually doing. Analysts can also trace the evidence behind each verdict through the graph.
What’s new in v1.3.0:
• PowerShell script-block taint analysis — detects activity through encoded and obfuscated scripts
• Evidence highlighting — shows the graph nodes and evidence contributing to each alert
• Rule-based whitelisting — suppress known-benign patterns with a graph preview before applying the rule
• Storage-aware retention — helps keep the detection pipeline healthy under sustained load
The goal is not just to detect suspicious activity, but to give analysts the evidence needed to understand and investigate it quickly.
What PowerShell obfuscation technique does your team encounter most often?
