Work Processes
Initial Consultation
Understand the AI model, its deployment environment, and critical assets involved in its decision-making process.
Threat Modeling
Develop a threat model to assess how attackers may exploit vulnerabilities in AI algorithms, data, and infrastructure.
Adversarial Attack Simulation
Simulate adversarial attacks (e.g., evasion or poisoning) to identify how vulnerable the AI model is to manipulation.
Data Integrity Testing
Test the integrity of training and input data to ensure it is free from tampering and malicious modifications.
Model Robustness Evaluation
Assess the robustness of AI models against attacks and identify potential weak spots in algorithms or configurations.
Security Recommendations & Reporting
Provide a comprehensive report outlining findings and recommendations to improve the security of AI systems.
Work Processes
Understand the AI model, its deployment environment, and critical assets involved in its decision-making process.
