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A platform for building, translating, testing, and operationalizing detections across Sigma, Splunk, and PySpark — with a dedicated AI Security layer.

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Detection Rules

8

Coverage Layers

4

Output Formats

OWASP

LLM & Agentic Top 10

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Write once in Sigma, deploy anywhere. Automatic translation to Splunk SPL and PySpark with validation and notes.

Sigma Input

rule.yml

title: Suspicious PowerShell Encoded Command
id: det-001
status: stable
logsource:
  category: process_creation
  product: windows
detection:
  selection:
    Image|endswith: '\powershell.exe'
    CommandLine|contains:
      - ' -EncodedCommand '
      - ' -enc '
  condition: selection
level: high

Splunk Output

detection.spl

index=endpoint sourcetype=WinEventLog:Security
  EventCode=4688
  Image="*\powershell.exe"
  (CommandLine="* -EncodedCommand *" OR
   CommandLine="* -enc *")
| table _time, host, user, CommandLine
| sort -_time

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OWASP Top 10 for LLMs and Agentic AI — with practical detections, monitoring guidance, and threat models.

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Coverage Framework

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Structured visibility across 8 detection layers — from Host OS to AI Security. Map detections to MITRE techniques, identify gaps, and track maturity.

Host OS & Application

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Identity & Cloud

AI Security Extension

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Host OS

4

Host Application

2

Host Network

2

Middle Network

2

Large Application

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Identity

3

Perimeter

2

AI Security Extension

3

AI Security

Detect threats in AI systems

OWASP Top 10 for LLMs and Agentic AI — with practical monitoring guidance, detection rules, and threat models.

Prompt Injection

Direct and indirect attacks manipulating LLM instructions

Tool Misuse

AI agents exploiting tool permissions for unauthorized actions

Agent Goal Drift

Autonomous agents deviating from intended objectives

Data Exfiltration

Sensitive data extracted through LLM API channels

API Abuse

Rate limit bypass, model DoS, and credential theft

Supply Chain

Poisoned model weights and compromised integrations

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