The combination will also strengthen the threat protection of AI applications and models: “This includes reducing risks such as rapid injection, data poisoning, jailbreaks, and the effects of unintended models. All acquisitions and testing are mapped to industry and regulatory standards such as OWASP and MITER ATLAS,” Gillis wrote. Among the benefits of the Robust Intelligence platform are simplified configuration, attack prediction, flexible policy implementation, and user experience, he said.
In practice, Robust Intelligence will bring its automated model testing and AI risk mitigation capabilities to the Cisco Security Cloud, and “the unified approach will allow customers to protect 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 improved cybersecurity to prepare for AI, according to Gillis.
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