Techsplainers by IBM

This episode of Techsplainers explores private cloud computing—how it provides cloud benefits with enhanced security and control for organizations with sensitive data or specific regulatory requirements.

Find more information at https://www.ibm.com/think/topics/private-cloud
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Narrated by Douglas Lambert

"This episode of Techsplainers explores public cloud computing, where third-party providers deliver computing resources over the internet on a pay-as-you-go basis. Douglas explains how public cloud works as a multi-tenant environment where users share virtualized resources while maintaining data isolation. The discussion covers the three primary service models—Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS). The episode also compares public cloud with private and hybrid approaches, highlighting how organizations typically combine these models for optimal flexibility. Finally, we address security considerations in public cloud environments, noting how provider security has evolved to often surpass on-premises solutions despite requiring different management approaches.

Find more information at https://www.ibm.com/think/topics/public-cloud
Find more episodes at https://www.ibm.biz/techsplainers-podcast

Narrated by Douglas Lambert

This episode of Techsplainers explores the inner workings of cloud computing by examining its core components and service delivery models. Host Douglas Lambert explains the three fundamental building blocks of cloud computing: data centers (the physical infrastructure), networking capabilities (enabling high-speed connections), and virtualization (the technology that maximizes hardware efficiency). The episode then details the spectrum of cloud service models, from Infrastructure as a Service (IaaS), which provides basic computing resources, to Platform as a Service (PaaS), which offers development environments, to Software as a Service (SaaS), which delivers ready-to-use applications. The discussion concludes with an exploration of serverless computing, where providers automatically handle all infrastructure management and scale resources instantly based on demand. Through relatable analogies comparing these models to housing options—from unfurnished apartments to fully-serviced hotels—the episode demystifies the technical aspects of how cloud services are structured and delivered.

Find more information at https://www.ibm.com/think/topics/cloud-computing
Find more episodes at https://www.ibm.biz/techsplainers-podcast

Narrated by Douglas Lambert

This episode of Techsplainers introduces the fundamentals of cloud computing, explaining it as on-demand access to computing resources over the internet with pay-per-use pricing. Host Douglas Lambert breaks down how cloud computing powers everything from consumer applications like email and streaming services to critical business operations across organizations of all sizes. The discussion covers the evolution of cloud computing from its conceptual origins in the 1960s to its emergence as a business necessity in the early 2000s with pioneers like Amazon Web Services, Google, and Microsoft. Listeners will discover four key benefits that make cloud computing revolutionary: cost-effectiveness through pay-as-you-go models, enhanced speed and agility in deployment, unlimited scalability to match demand, and access to cutting-edge technologies without implementation hurdles. Through relatable analogies comparing cloud services to streaming platforms, this episode demystifies the concept of "the cloud" for both technical and non-technical audiences.

Find more information at https://www.ibm.com/think/topics/cloud-computing
Find more episodes at https://www.ibm.biz/techsplainers-podcast

Narrated by Douglas Lambert

This episode of Techsplainers explores AI agent security - the critical frameworks, tools, and practices needed to ensure autonomous AI systems operate safely and responsibly. We examine the unique security challenges of AI agents compared to traditional cybersecurity, focusing on three key risk categories: threats targeting the agents themselves (like prompt injection and training data poisoning), risks in agent interactions with external systems (such as unauthorized data access and privilege escalation), and dangers from emergent agent behaviors that may have unintended consequences. The discussion covers essential security practices including least privilege access, authentication mechanisms, continuous monitoring, and circuit breakers to halt problematic actions. We also highlight the importance of sandboxing agents in controlled environments and conducting red team exercises to proactively identify vulnerabilities. As AI agents become more powerful and autonomous, implementing robust security measures becomes increasingly critical for responsible deployment across organizations.

Find more information at https://www.ibm.com/think/topics/ai-agent-security#1268897085
Find more episodes at https://www.ibm.biz/techsplainers-podcast

Narrated by Cole Stryker