The combination will also strengthen threat protection for AI applications and models: “This includes mitigating risks like prompt injection, data poisoning, jailbreaking, and unintentional model outcomes. All detections and tests are mapped to industry and regulatory standards like OWASP and MITRE ATLAS,” Gillis wrote. Among the benefits of the Robust Intelligence platform are simplified configuration, attack prediction, adaptive policy enforcement, and user experience, he said.

Operationally, Robust Intelligence will bring its automated model assessment and proactive AI risk mitigation capabilities to the Cisco Security Cloud, and the “unified approach will allow customers to secure their network, AI applications, and users all in one place,” Gillis wrote.

In its 2024 AI Readiness Index, Cisco found that 95% of respondents believe AI will significantly impact IT infrastructure and security. Businesses are prioritizing IT modernization and advanced cybersecurity to prepare for AI, according to Gillis.