AI Threat Pipeline & SOC Defense Workbench

INTEL REF: SOUTH KOREAN SOC TELEMETRY (DPRK LLM AUTOMATION)
Threat Configuration
Defensive Countermeasures
Phishing Semantic Filter Detect LLM syntactical nuances in email
MFA & Zero-Trust Access Enforce hardware tokens across identity paths
Egress DLP & Token Sanitizer Block automated code snippet exfiltration
LLM Canary Token Canary Plant tripwires in stolen data repos
Attack Lifecycle Topology CLICK NODE TO INSPECT PAYLOAD
Live Simulation Telemetry & Threat Metrics Financial & Defense Contractors
Overall Risk Score 68
Detection Time (Hrs) 3.2
Phishing Success Rate 24.5%
Mitigated Threat 58%
ATT&CK Mappings 8
Node Forensic Inspector Node: LLM_Phish_Gen
Select or step through nodes to view nation-state LLM tool payloads and mitigation telemetry.
// Spearphishing prompt template synthesized by custom LLM... [PROMPT]: "Generate localized Korean language executive lure impersonating Defense Acquisition Program Administration..."
MITRE ATT&CK Defense Matrix
Technique ID Name AI Threat Vector Countermeasure Status

Interactive Defense Telemetry & Threat Pipeline Explainer

Read the explanation

The workbench models an AI attack chain traversing initial LLM phishing generation toward credential harvesting and automated data exfiltration. Each active defense switch applies discrete mathematical reductions. Enabling all four countermeasures pushes overall risk from ninety down to fifty-four. Toggling Egress DLP and Canary Tokens adds deep packet inspection, immediately reclassifying MITRE exfiltration techniques from active threats to mitigated status.

Super generates helpful tools and automates fact-checking across the internet proactively. If you enjoyed this tool, build your own with Super and share it with a friend.