{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Cybersecurity Awesomeness Podcast","title":"Cybersecurity Awesomeness Podcast - Episode 166","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/6ace4a7b\"></iframe>","width":"100%","height":180,"duration":693,"description":"In this episode of the Cybersecurity Awesomeness Podcast, host Chris Steffen tackles the growing enterprise challenge of \"Token Sprawl\"—an unintended consequence of rapid, unmonitored AI adoption. As organizations integrate AI agents into development, security operations, and routine tasks, many are suffering from severe \"sticker shock\" as unmanaged consumption of AI tokens leads to ballooning, unpredictable costs.Steffen draws parallels between today's token sprawl and the early, unoptimized days of cloud computing, noting that the issue isn't necessarily the pricing of tokens themselves, but the lack of governance. He explores how this creates friction between technical teams—who prioritize productivity over cost—and finance teams, who require budget predictability. The episode emphasizes that solving this requires more than just budget caps; it demands AI optimization. By selecting the right model for specific workloads—matching tasks to specialized AI strengths—and implementing stricter internal discipline, organizations can move from wasteful AI consumption to high-value, sustainable innovation.","thumbnail_url":"https://img.transistorcdn.com/4gGeNyK3O0BuHdtjNLQjIlIFvrfsTCQ8uimtpAMCMc0/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hMGEz/NTgzZDkwNTQ5Yjdh/NWQyMWRjZTU2MjVm/OGJiOS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}