In the world of Security Operations, speed and clarity are everything. When analysts sift through complex detection logic—especially in extensive environments like Windows—every second matters. SOC Prime’s Uncoder AI steps in precisely here, offering a unique feature that’s proving indispensable: the Short AI-generated Summary.
This AI-powered functionality isn’t just a convenience—it’s a practical tool that transforms raw detection queries into human-readable insights in seconds. In a recent real-world case, a SOC analyst used the feature to parse an intricate Google SecOps detection rule designed to identify potentially suspicious WDAC (Windows Defender Application Control) policy file creation.
metadata.event_type = "FILE_CREATION" and target.file.full_path = /.*\Windows\System32\CodeIntegrity\.*/ nocase and ((( not target.process.file.full_path = /.*\Microsoft.ConfigurationManagement.exe$/ nocase and not target.process.file.full_path = /.*\WDAC Wizard.exe$/ nocase and not target.process.file.full_path = /.*C:\Program Files\PowerShell\7-preview\pwsh.exe$/ nocase and not target.process.file.full_path = /.*C:\Program Files\PowerShell\7\pwsh.exe$/ nocase and not target.process.file.full_path = /.*C:\Windows\System32\dllhost.exe$/ nocase and not target.process.file.full_path = /.*C:\Windows\System32\WindowsPowerShell\v1.0\powershell_ise.exe$/ nocase and not target.process.file.full_path = /.*C:\Windows\System32\WindowsPowerShell\v1.0\powershell.exe$/ nocase and not target.process.file.full_path = /.*C:\Windows\SysWOW64\dllhost.exe$/ nocase and not target.process.file.full_path = /.*C:\Windows\SysWOW64\WindowsPowerShell\v1.0\powershell_ise.exe$/ nocase and not target.process.file.full_path = /.*C:\Windows\SysWOW64\WindowsPowerShell\v1.0\powershell.exe$/ nocase)) or (((( not target.process.command_line = /.*ConvertFrom-CIPolicy -XmlFilePath.*/ nocase) and ( not target.process.command_line = /.*-BinaryFilePath .*/ nocase)) or not target.process.command_line = /.*CiTool --update-policy.*/ nocase or (( not target.process.command_line = /.*Copy-Item -Path.*/ nocase) and ( not target.process.command_line = /.*-Destination.*/ nocase)))))
The original detection logic includes multiple regular expressions, process path exclusions, and nested conditions. Without context, deciphering this can be a time-consuming task, even for experienced defenders.
Uncoder AI’s summary distilled the rule into a concise explanation:
This Google SecOps Query is designed to detect potential malicious activity related to file creation in the Windows System32 folder, specifically within the CodeIntegrity directory. It filters out known legitimate processes and commands that may create files in this location, such as those related to Microsoft Configuration Management, WDAC Wizard, PowerShell, and dllhost. The query aims to identify unauthorized or unexpected file creation events that could indicate a security threat.
This single paragraph enabled rapid triage and confident validation of the detection’s intent.
Analyst Insight: Real-World Time Savings
As one threat detection engineer who recently started using thighs feature put it:
“The Short Summary feature helps cut through the noise. Normally, reviewing a third-party detection like this would take at least 10–15 minutes to fully trace its intent and exclusions. With the AI summary, I got the full picture in under a minute and moved straight to deployment.”
For detection engineers, that acceleration is significant. It reduces cognitive load, helps avoid misinterpretation of logic, and frees up time to focus on threat modeling and response tuning.
Practical Outcomes in the Field
In this case, the detection was part of a broader initiative to monitor tampering attempts in the
CodeIntegrityfolder—a known hotspot for adversaries bypassing WDAC protections. By quickly understanding the rule’s exclusion logic (such as legitimate PowerShell paths or CI policy update tools), the SOC team was able to fast-track its rollout in production and confirm that no false positives would be triggered by routine Microsoft activity.
In short, Uncoder AI turned complex detection logic into actionable intelligence.
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