In this episode of the Cybersecurity Awesomeness Podcast, Chris Steffen and Ken Buckler explore a pressing security shift: adversaries are increasingly bypassing traditional credential theft to exploit the AI systems already embedded within corporate environments. The hosts discuss how "agentic" AI solutions often operate with overprivileged non-human identities, granting bots excessive access to data and infrastructure that far exceeds their functional requirements.

This resurgence of "standing access" for machine accounts—a vulnerability CISOs thought they had mitigated—is being exacerbated by the rapid, near-universal adoption of AI development tools. Using real-world examples, ranging from inadvertent AI-generated discounts to the complex liability of autonomous vehicles, Chris and Ken illustrate the risks of prompt injection and data poisoning. The episode serves as a critical call to action for security teams: to treat AI agents with the same rigorous identity management and just-in-time provisioning standards historically reserved for human users before these misconfigurations lead to massive data exfiltration.

In this episode of the Cybersecurity Awesomeness Podcast, hosts Chris Steffen and Ken Buckler explore the often-misunderstood world of mainframe computing. Despite the pervasive narrative that mainframes are "antiquated" technology, the hosts argue that they remain the gold standard for availability, integrity, and resilience in high-stakes environments like banking, healthcare, and government.

The discussion clears up common misconceptions, noting that modern mainframes are not just running legacy code like COBOL, but are fully capable of integrating with modern development tools and languages. Steffen and Buckler highlight that while the cloud offers flexibility, it lacks the sheer stability and performance consistency of the mainframe. For security professionals, the episode serves as a powerful reminder that "older" doesn't mean "insecure." In many cases, these systems provide a level of physical and logical isolation that modern, network-dependent architectures struggle to match. Ultimately, the hosts invite listeners to rethink the mainframe's role in the modern stack, proving it remains the undisputed champion of mission-critical compute.

In this episode of the Cybersecurity Awesomeness Podcast, hosts Chris Steffen and Ken Buckler discuss transformative announcements from the Microsoft Build Conference 2026. The central focus is Microsoft’s shift toward ARM-based architecture in partnership with NVIDIA, exemplified by the new RTX Spark superchip. This development marks a pivotal transition: moving personal AI agents from cloud-reliant models to high-performance, local desktop environments.

The hosts argue that this architectural evolution is a "security-first" milestone, allowing for local AI compute that significantly reduces privacy risks, data leakage, and the need for cloud-based credit systems. Beyond personal privacy, the discussion highlights the environmental benefits of distributed computing, noting that local processing mitigates the massive energy and land demands of hyperscale data centers. Steffen and Buckler conclude that the rapid democratization of AI is occurring faster than expected, signaling a new era where powerful, secure AI agents function as teammates rather than mere tools, fundamentally reshaping the future of personal computing.