In this article, we explored the expectations engineers have for AI agents in networking and security, focusing on both commercial and open-source solutions. An AI agent is an autonomous software system that adapts and acts based on real-time data, unlike traditional software. Key design considerations include selecting the appropriate AI framework and models, such as LLMs, which serve as the “brain” of the agents. Surveys from Cisco DevNet show a strong demand for configuration automation (37%) and network monitoring (32%), with security-focused AI agents receiving 22% of the votes. Open-source options exist for troubleshooting and managing network devices via natural language processing, while commercial solutions like Cisco AI Assistant offer advanced capabilities for policy analysis and real-time insights. However, security concerns remain, emphasizing the need for effective AI guardrails to prevent errors. For more resources, visit Cisco DevNet’s AI Hub.
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