Specialized security for machine learning pipelines and AI model deployments
AI and machine learning are critical to the workflows of any modern organization. However, these systems are susceptible to novel attack vectors. Traditional security controls are ineffective against threats such as model inversion, data poisoning, model theft, and model inversion. Secure Code is your first line of defense in protecting the full cycle of your organization's AI lifecycle. We use a rigorous methodology, starting with pipeline security, with our primary goal being to guarantee integrity at every stage. We begin by implementing compulsory data provenance checks, securing the model's training environment, and continuously monitoring for anomalous behavior that could signal tampering or poisoning. If you have a deployed model, Secure Code implements adversarial robustness testing and integrates runtime defenses capable of detecting abnormal input patterns designed to subvert predictions. Observability and auditability are at the heart of our AI system protection protocols. Embedding logging, explainability, and compliance controls helps maintain trust in all your AI-driven decisions. With APIs as the primary access point for AI models, we integrate strong API security and zero-trust access controls to prevent abuse, exfiltration, or unauthorized queries.