Summary Generative and agentic AI frameworks are empowering enterprises with dramatic efficiency gains by eliminating operational friction and enabling automation at scale. However, as modern AI applications and workload demands grow, legacy connectivity will struggle to keep pace with emerging AI threats. What is required is a unified SASE approach that delivers better business outcomes from a network assurance and security standpoint.  The recent development of frontier models that can scan previously undetected vulnerabilities at machine speed is eye-opening. It serves as a wake-up call for organizations to use more granular observability tools to identify at-risk infrastructure and deploy a zero-trust architecture to mitigate breaches through least-privilege access. LoneStar Advisory…