Autonomous offensive security engine for AI-driven attack path prediction and multi-agent red team simulation.
-
Updated
Feb 6, 2026 - Python
Autonomous offensive security engine for AI-driven attack path prediction and multi-agent red team simulation.
Active Directory attack-path analysis lab simulating an internal penetration test. Includes LDAP, Kerberos, SMB enumeration, BloodHound graph analysis, privilege escalation reasoning, and professional documentation of security misconfigurations in a controlled lab environment.
High-signal, read-only IAM analysis tool that detects privilege escalation paths via Service Account impersonation and trust overlap in Google Cloud.
Add a description, image, and links to the attack-path-analysis topic page so that developers can more easily learn about it.
To associate your repository with the attack-path-analysis topic, visit your repo's landing page and select "manage topics."