The combination will also strengthen threat protection for AI applications and models: “This includes mitigating risks such as rapid injection, data poisoning, jailbreaking, and unintended model outputs. All detections and tests are mapped to industry and regulatory standards such as OWASP and MITRE ATLAS,” Gillis wrote. Benefits of the Robust Intelligence platform include 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 enable 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 have a significant impact on IT infrastructure and security. Businesses are prioritizing IT modernization and advanced cybersecurity to prepare for AI, Gillis said.