TechEdge Podcast

Who decides when an AI system is safe enough to use? As AI becomes more powerful and autonomous, technology leaders are debating whether oversight should come from government, AI companies themselves or an independent organization responsible for testing systems and establishing standards. In this episode of TechEDGE, we examine the debate over independent AI oversight and what it could eventually mean for enterprise IT. From vendor evaluations and procurement requirements to third-party risk assessments, cybersecurity reviews and board-level governance, the organizations that verify AI systems could become nearly as important to enterprise buyers as the companies building them. Episode Resources Article: As AI Grows More Powerful, Should We Keep It in Check? Subscribe to TechEDGE Follow TechEDGE: On LinkedIn On Facebook On X (Twitter) Our Website

Your organization's next identity security problem may not involve a person at all. AI agents, service accounts, API keys, authentication tokens and other non-human identities are gaining access to more enterprise systems and data — and attackers are taking notice. In this episode of TechEDGE, we examine new research into the growing non-human identity attack surface and a troubling disconnect: Organizations report strong confidence in their visibility into AI and machine identities, but actual monitoring remains far less common. We explore what that gap means for enterprise security, why third-party access adds another layer of risk and how stronger governance, continuous monitoring and faster remediation could help security teams keep up. Because as AI and automation expand, the question isn't only who has access to your systems. It's what does. Episode Resources How Non-Human Identities Are Becoming a Top Enterprise Attack Path Subscribe to TechEDGE Follow TechEDGE: On LinkedIn On Facebook On X (Twitter) Our Website  

For years, the AI industry has told businesses to move faster. Now, some of the people building the world's most advanced AI systems are suggesting it may be time to tap the brakes. What does that mean for enterprise IT? In this episode of TechEDGE, we examine why calls for greater testing, oversight and controls around frontier AI matter to CIOs — especially as organizations build technology roadmaps around assumptions about what AI will be capable of next. The result may not be less AI. It could be less predictability. Listen for what that uncertainty could mean for AI budgets, implementation timelines, governance and the technology decisions enterprises are making today. Episode Resources  Article Link: The World’s Leading AI Companies Want to Tap the Brakes. What's That Mean for IT?  Subscribe to TechEDGE Follow TechEDGE: On LinkedIn On Facebook On X (Twitter) Our Website  

Your next major IT problem may start outside your organization. Semiconductor supply chains, export controls, tariffs, AI regulations, regional conflicts and infrastructure constraints are increasingly influencing technology decisions that were once driven primarily by business and technical requirements. In this episode of TechEDGE, we examine why geopolitical risk belongs in the technology planning conversation — and what CIOs and CTOs can do about it. From mapping critical dependencies and pressure-testing AI roadmaps to evaluating vendor geography and planning for multiple scenarios, discover how technology leaders can build strategies designed to adapt when conditions outside the enterprise change. Because you can't predict every disruption. But you can build a technology strategy that's better prepared for one. Episode Resources Why CIOs and CTOs Need to Build Geopolitical Risk Into Technology Strategy Subscribe to TechEDGE Follow TechEDGE: On LinkedIn On Facebook On X (Twitter) Our Website  

That $50,000 AI application may cost your organization a lot more than $50,000. As AI adoption grows and regulations move toward enforcement, governance, monitoring, documentation, training and vendor oversight are becoming part of the ongoing cost of operating AI. In this episode of TechEDGE, we examine what technology leaders may be overlooking as they build their 2027 AI budgets — including the hidden costs of third-party AI, the importance of knowing your organization's full AI footprint and why adding governance after deployment could prove far more expensive than building it in from the start. Plus, discover the questions IT leaders should be asking before their 2027 AI budgets are finalized. Episode Resources How Should CIOs Budget for AI Compliance Costs in 2027?  Subscribe to TechEDGE Follow TechEDGE: On LinkedIn On Facebook On X (Twitter) Our Website