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The Battle Test Podcast

Podcast by Blue Cloak

English

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About The Battle Test Podcast

Welcome to the Battle Test, your go-to podcast for in-depth discussions on Test and Evaluation (T&E), cybersecurity, and the evolving world of offensive and defensive cyber warfare. We dive into the strategies, technologies, and innovations shaping the future of defense, with expert insights on how T&E ensures military systems are battle-ready and how cyber tactics are redefining modern warfare. Join us as we break down complex defense topics and explore the critical role of cybersecurity in protecting national interests on the digital battlefield.

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42 episodes

episode Short Story by a Small Agent Model (SAM) artwork

Short Story by a Small Agent Model (SAM)

Welcome to a unique storytelling experiment. What you're about to hear wasn't written in the traditional sense. It was generated entirely by SAM—the Small Agent Model—an AI trained on technical documents, research papers, and patterns pulled from a vast archive of open-access knowledge, including thousands of PDFs from arXiv.org. This story began with a single prompt and evolved entirely within SAM’s internal reasoning. No plot outline. No human editing. Just raw output shaped by the model’s logic, curiosity, and sense of narrative. Our goal? To test whether a small, locally-running AI could hold focus across a long-form story—maintaining character development, tension, and thematic consistency. The result is a digital hallucination… but one grounded in real science, speculative fiction, and machine-learned creativity. Let’s begin.

7 Aug 2025 - 36 min
episode Episode 40 - Teaching Smaller AI Models to Think Like Cybersecurity Experts: A Deep Dive into Knowledge Distillation artwork

Episode 40 - Teaching Smaller AI Models to Think Like Cybersecurity Experts: A Deep Dive into Knowledge Distillation

In this episode, we unpack a cutting-edge approach to building lean, high-performance AI models tailored for cybersecurity. Based on our latest white paper, we explore a multi-stage knowledge distillation pipeline that transfers expertise from large teacher models to smaller, more efficient student models like Phi-3 Mini. Topics include structured data enrichment, virtual machine-based learning, test-time reinforcement learning (TTRL), and curiosity-driven exploration powered by Information Theory. Whether you're an AI researcher, cybersecurity professional, or tech strategist, this episode offers a deep yet accessible guide to making specialized AI practical for real-world, resource-constrained environments.

5 May 2025 - 25 min
episode Episode 38 - Unmasking Cyber Threats: Agentless Emulation for Next-Gen Cyber Defense artwork

Episode 38 - Unmasking Cyber Threats: Agentless Emulation for Next-Gen Cyber Defense

In this episode, we explore how modern cybersecurity is transforming with agentless threat emulation. We discuss a cutting-edge platform that simulates advanced persistent threat (APT) tactics without installing agents—leveraging open-source tools like Atomic Red Team and PurpleSharp alongside the MITRE ATT&CK framework. Discover how the platform’s user-friendly, drag-and-drop scenario builder, remote execution via SSH/WinRM, and real-time monitoring empower cyber defenders to train effectively, identify detection gaps, and bolster overall security. Join us as we break down the technical innovations, operational benefits, and strategic value of continuous, automated threat simulations in today’s dynamic cyber landscape.

2 Apr 2025 - 22 min
episode Episode 37 - NIST Report on Adversarial Machine Learning Taxonomy and Terminology artwork

Episode 37 - NIST Report on Adversarial Machine Learning Taxonomy and Terminology

This NIST report offers a comprehensive exploration of adversarial machine learning (AML), detailing threats against both predictive AI (PredAI) and generative AI (GenAI) systems. It presents a structured taxonomy and terminology of various attacks, categorising them by the AI system properties they target, such as availability, integrity, and privacy, with an additional category for GenAI focusing on misuse enablement. The document outlines the stages of learning vulnerable to attacks and the varying capabilities and knowledge an attacker might possess. Furthermore, it describes existing and potential mitigation strategies to defend against these evolving threats, highlighting the inherent trade-offs and challenges in securing AI systems.

2 Apr 2025 - 37 min
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