Techsplainers by IBM

This episode of Techsplainers explores loop engineering, the practice of designing agentic workflows that iteratively guide AI agents toward human-defined goals with minimal human intervention. The episode explains how loop engineering moves beyond individual prompts by creating systems in which an agent can act, observe results, adjust its approach and repeat the process until it reaches a define...

This episode of Techsplainers explores the AI agent gateway, an infrastructure layer that sits between AI agents and the models, tools, APIs, data and other agents they need to operate. The episode explains how an agent gateway can serve as a centralized control point for routing requests, managing permissions, logging activity and enforcing guardrails before autonomous agents take action. It also...

This episode of Techsplainers explores AI agent swarms, groups of AI agents that coordinate their work toward a shared goal. The episode explains how swarms divide larger tasks among specialized agents, allowing different agents to plan, research, analyze, review and synthesize work. It also distinguishes agent swarms from the broader category of multi-agent systems, showing how swarms place parti...

This episode of Techsplainers explores the agent control plane, the centralized system that helps organizations deploy, operate, monitor and govern AI agents at scale. The episode explains the distinction between the control plane and the data plane, where individual agents perform tasks and interact with tools and data. It shows how a control plane provides a shared operating model for increasing...

This episode of Techsplainers explores AI agent management, the practice of supervising, coordinating and governing AI agents as they become part of enterprise operations. The episode explains why managing agents becomes increasingly important as organizations move from isolated AI experiments to environments with dozens or even hundreds of specialized agents. It looks at the risk of AI agent spra...

This episode of Techsplainers explores the EU AI Act, the European Union’s landmark law for regulating artificial intelligence through a risk-based framework. The episode explains who the act applies to across the AI value chain, including providers, deployers and importers, and why its reach can extend beyond Europe when AI outputs are used inside the EU. It breaks down the law’s core structure,...

This episode of Techsplainers explores continuous compliance and how organizations Techsplainers explores continuous compliance and how organizations use automated, ongoing checks to stay aligned with regulations and frameworks instead of relying only on periodic audits. The episode explains how continuous compliance works in practice, from translating legal and policy frameworks instead of relyin...

This episode of Techsplainers explores regulatory compliance and why it has evolved from a periodic governance task into an ongoing business capability. The episode explains regulatory compliance as the practice of keeping an organization aligned with the laws, regulations and formal requirements that govern how it operates, uses technology, protects data and serves customers. It walks through why...

This episode of Techsplainers explores the General Data Protection Regulation, or GDPR, and why it has become one of the most influential privacy laws in the world. The episode explains how the GDPR defines personal data, why it was created to modernize Europe’s earlier privacy framework, and how it applies both inside and outside the EU and EEA. It walks through the regulation’s inside and outsid...

This episode of Techsplainers explores sovereign cloud and how it helps organizations meet country- and region-specific requirements for handling sensitive data. It follows the topic from the basic definition into the practical questions enterprises face around where data is stored, which laws apply, and who can access cloud systems. The episode explains the difference between data residency and d...

This episode of Techsplainers explores machine-to-machine authentication and explains why it has become a foundational control for modern runtime security. As nonhuman identities continue to multiply, computer systems need a reliable way to verify which workloads are actually making requests before any data, service or infrastructure action is allowed. The episode walks through how M2M authenticat...

This episode of Techsplainers explores runtime security for AI agents and explains why autonomous systems require deeper protection once they begin operating live across enterprise environments. Building on earlier discussions of nonhuman identities, accountability and runtime risk, the episode focuses on the unique security challenges created when agents reason, decide, execute actions and adapt...

This episode of Techsplainers explores runtime security and explains why it has become a critical response to the AI and nonhuman identity risks discussed earlier in the series. As applications, workloads, machine identities and AI agents operate live in production, organizations need security controls that can detect misuse, enforce boundaries and respond in real time. The episode follows how run...

This episode of Techsplainers explores the AI accountability gap and why it has become a defining governance challenge for runtime security. As AI agents move beyond simple automation and begin executing business actions across enterprise systems, organizations must answer harder questions about authority, approval and responsibility. The episode explains how agentic AI changes the identity model...

This episode of Techsplainers explores the security challenges surrounding non-human identities and why governing them effectively has become a critical runtime security issue. As machine identities multiply across cloud, on-premises, and hybrid environments, many organizations are struggling with poor visibility, inconsistent controls, and access paths that fall outside traditional identity overs...

This episode of Techsplainers explores vibe coding security risks and examines what can happen when AI-generated code is trusted too quickly. Building on the earlier episodes in the series, it explains how vibe coding can speed up prototyping and development while also introducing security concerns that are easy to miss when code appears to work on first pass. The episode covers common risks such...

This episode of Techsplainers explores AI debugging and how artificial intelligence can assist developers in finding, understanding and fixing software problems. Building on earlier episodes about shift-left security, static code analysis and AI unit testing, understanding and fixing software problems. Building on earlier episodes about shift-left security, static code analysis and AI unit testing...

This episode of Techsplainers explores AI unit testing and how artificial intelligence can support one of software development’s most common quality practices. Building on the earlier episodes about shift-left security and static code analysis, it explains how unit tests check small pieces of code in isolation and how AI can help generate test cases, identify edge conditions, improve coverage and...

This episode of Techsplainers explores static code analysis, a development practice that inspects source code without running the application. Building on the series opener about shift-left security, it explains how static analysis helps teams identify potential bugs, security flaws and code quality issues earlier in the software development lifecycle, when fixes are typically simpler and less cos...

This episode of Techsplainers introduces shift-left security, the practice of moving security earlier in the software development lifecycle instead of treating it as a final review step. It explains how teams can build security into planning, coding, testing and delivery workflows so vulnerabilities are found when they are easier and less costly to fix. The episode walks through the logic behind t...

Quantum memory is designed to record, preserve and retrieve quantum states without destroying the properties that make quantum computing possible. Matt Finio explains how quantum memory differs from classical memory and explores concepts including qubits, superposition, decoherence, the no-cloning theorem and quantum error correction. The episode also examines solid-state systems, cold atoms, trap...

Disaggregated hyperconverged infrastructure, or dHCI, combines the centralized management of hyperconverged infrastructure with the ability to scale storage and compute separately. Matt Finio explains how dHCI differs from traditional three-tier architecture, converged infrastructure, standard HCI and cloud infrastructure. Learn where dHCI can improve efficiency, reduce overprovisioning and suppor...

Disaggregated storage separates storage resources from compute and reconnects them through a high-speed network. In this episode, Matt Finio explains how this architecture enables independent scaling, shared data access and more efficient infrastructure refresh cycles. Discover the role of software-defined storage, NVMe over Fabrics, TCP, RDMA and Fibre Channel, along with the benefits and challen...

EEPROM and flash are both types of non-volatile memory, but they are designed for very different jobs. Matt Finio explains how EEPROM supports precise byte-level updates, while flash memory handles larger blocks of data at scale. Explore their differences in endurance, capacity, speed and cost, along with common applications in embedded systems, smartphones, SSDs, enterprise storage and AI infrast...

What is the difference between NVMe and SATA? In this episode, Matt Finio explains how these storage protocols work, why NVMe delivers faster performance and lower latency, and why SATA remains useful for legacy systems, backups and everyday workloads. Learn how drive types, protocols and form factors such as M.2 affect storage compatibility, performance and purchasing decisions Find more informat...