Tools and Technologies for Secure by Design AI Systems

Overview

Traditional security tools were designed for deterministic systems with predictable behaviors. AI systems, by contrast, are probabilistic (non-deterministic), learn from data, and can evolve over time. This creates new attack surfaces.

AI Security Testing Tools

• Model Scanners: Like traditional application scanners, AI scanners operate in static and dynamic modes. Static scanners examine weights, architecture, and code for backdoors or embedded bias. Dynamic scanners probe models against adversarial inputs (prompt injections, jailbreaking, data poisoning) at runtime.
• AI Vulnerability Feeds: AI vulnerabilities are unique to AI and require specialized tracking mechanisms to map specific exploitation info.