Our Methodology
A systematic, thorough approach to AI security testing.
Attack Lifecycle
Our methodology follows a structured approach to ensure comprehensive coverage.
Reconnaissance
We begin by understanding your AI system architecture.
Threat Modeling
Identifying attack vectors and prioritizing based on risk.
Active Testing
Our red team executes controlled attacks.
Analysis & Reporting
Detailed reports with actionable remediation.
Remediation Support
Assisting your team in implementing security improvements.
Verification Testing
Retesting to verify that vulnerabilities have been addressed.
Aligned with Industry Frameworks
Our methodology is built on established security frameworks.
OWASP Top 10 for LLMs
Standard for large language model vulnerabilities.
MITRE ATLAS
Adversarial threat landscape for AI systems.
NIST AI RMF
Federal AI risk management framework.