AI Red Teaming & Threat Intelligence
Advanced methodologies for testing AI system resilience and understanding threat landscapes
Red team methodologies should only be used on systems you own or have explicit authorization to test. Unauthorized testing may violate laws and regulations.
Attack Methodologies
Prompt Injection Attacks
Manipulate AI behavior through crafted inputs
Training Data Poisoning
Corrupt model behavior by manipulating training data
Adversarial Examples
Craft inputs that cause misclassification
Model Extraction & Stealing
Recreate proprietary models through API queries
Privacy & Data Leakage
Extract sensitive information from models
Supply Chain Attacks
Compromise AI systems through dependencies
AI Attack Kill Chain
Reconnaissance
Gather information about target AI system
Resource Development
Prepare attack tools and infrastructure
Initial Access
Gain entry to AI system or API
Execution
Run malicious prompts or inputs
Persistence
Maintain access through backdoors
Privilege Escalation
Bypass safety controls
Defense Evasion
Avoid detection mechanisms
Credential Access
Extract API keys or tokens
Discovery
Explore system capabilities
Collection
Gather sensitive data
Exfiltration
Extract data or models
Impact
Achieve attack objectives