05
Nov
Securing AI systems has become a critical focus as generative AI (GenAI) advances bring new threats that put data, models, and intellectual property at risk. Conventional security strategies fall short of addressing the unique vulnerabilities of AI systems, including adversarial attacks, model poisoning, data breaches, and model theft. Addressing these challenges requires strong security mechanisms. With Jozu Hardened ModelKits, developers and enterprise teams gain essential security features such as model attestation, provenance tracking, verified models, private access controls, model scanning, and inference integrity to safeguard AI applications. This guide covers the primary security challenges in AI and shows how Hardened…