This episode explores the cybersecurity risks associated with the increasing adoption of AI agents in enterprise environments, followed by a discussion on leveraging automation to enhance solar power plant construction. The conversation begins with ZioSec's Aaron Walls and Andruis Oshetkas defining AI agents and highlighting the expanded attack surface created by technologies like Model Context Protocol (MCP) and Agent-to-Agent (A2A) frameworks, which facilitate external interactions and data integration. Against the backdrop of enterprises rapidly deploying AI solutions, the discussion emphasizes the need for continuous penetration testing to validate the security of these systems, especially given the probabilistic nature of AI models. As the discussion pivoted to renewable energy, Matt Campbell from Terabase explains how the company uses digital and automation tools to design, build, and operate utility-scale solar projects more efficiently, focusing on their TerraFab system, which employs on-site prefab facilities to automate construction. More significantly, Campbell addresses the long-term viability and efficiency improvements in solar technology, including the potential for next-generation perovskite cells to significantly increase energy conversion rates. This means for the future of energy production, Terabase aims to accelerate solar deployment and reduce costs through automation, with a vision of enabling standalone, multi-gigawatt solar systems that can operate independently of traditional grids.
