Agentic AI systems are evolving beyond simple question-and-answer interactions. Modern AI agents can execute code, process files, query databases, interact with application programming interfaces (APIs) and perform multistep workflows on behalf of users. While these capabilities unlock new levels of automation, they also introduce new infrastructure and security requirements. Executing agent-generated code directly on a host system can expose organizations to software bugs, prompt-injection attacks, data leakage and privilege-escalation risks. To address these challenges, agentic AI...