Organizations are adopting AI to deliver greater impact, faster and at scale. Much of that AI is assembled from components such as open-source models, third-party skills, and shared artifacts. These artifacts can carry malicious code, hidden instructions, or unsafe dependencies that traditional security tools were not designed to detect.
Validating AI artifacts before they reach production is more efficient and cost-effective than responding to a compromise after deployment. Automated scanning within existing development workflows reduces manual security reviews, so teams can adopt AI with confidence and maintain consistent governance.
Prisma® AIRS™ AI Supply Chain Security scans AI models and agent skills for these risks, within customer-controlled environments. It identifies whether a model contains malicious code or unsafe serialization formats, and whether a skill could direct an agent to execute code, access credentials, or exfiltrate data.
