『Secure Talk Podcast』のカバーアート

Secure Talk Podcast

Secure Talk Podcast

著者: Justin Beals
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今ならプレミアムプランが3カ月 月額99円

2026年5月12日まで。4か月目以降は月額1,500円で自動更新します。

概要

Secure Talk reviews the latest threats, tips, and trends on security, innovation, and compliance. Host Justin Beals interviews leading privacy, security and technology executives to discuss best practices related to IT security, data protection and compliance. Based in Seattle, he previously served as the CTO of NextStep and Koru, which won the 2018 Most Impactful Startup award from Wharton People Analytics. He is the creator of the patented Training, Tracking & Placement System and the author of “Aligning curriculum and evidencing learning effectiveness using semantic mapping of learning assets,” published in the International Journal of Emerging Technologies in Learning (iJet). Justin earned a BA from Fort Lewis College.All rights reserved 政治・政府
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  • CMMC Is an HR Problem, Not an Enclave Problem — Here's the Proof
    2026/05/05

    The biggest cybersecurity failures in recent memory — Raytheon, Penn State, Georgia Tech — weren't caused by missing software. They were caused by the wrong people being assigned the wrong tasks, with no shared language to connect the rules to the work.


    This SecureTalk episode with Dorian Cougias (MoxyWolf, former Unified Compliance Framework CEO) is one of the most systems-level conversations we've had on the show. Dorian spent decades building the infrastructure that compliance programs run on — and he's now rebuilding it from scratch, in the open.


    What you'll hear:

    → Why the compliance industry is structurally fragmented across three authority domains that don't communicate

    → How Bloom's Taxonomy — a tool from education — maps directly to which compliance tasks belong to which roles

    → Why the Oxford English Dictionary doesn't have "personal data" in it, and what that tells us about regulatory language

    → The O*NET framework and why the Department of Labor might be the most underused tool in cybersecurity

    → Shannon's entropy theory, applied to compliance and cognitive load

    → A new open-source STIG API infrastructure that StrikeGraph is integrating as a launch partner


    Whether you're deep in the compliance trenches or just fascinated by how complex systems fail — and how to redesign them — this is worth your time.


    🔗 strikegraph.com | stigviewer.com


    Chapters:

    00:00 Introduction and Background

    02:43 Exploring Compliance and Natural Language Processing

    05:15 Military Experience and Signal Intelligence

    08:01 Cognitive Load and Compliance Frameworks

    10:49 The Importance of Language in Compliance

    13:39 The Evolution of Dictionaries and Lexicons

    16:16 Bridging Gaps in Compliance Communication

    18:47 Innovations at MoxieWolf and Future Directions

    22:04 Mapping Skills and Regulatory Guidelines

    25:05 Job Applicability and Knowledge Requirements

    28:02 The Importance of O*NET in Cybersecurity

    29:21 Challenges in CMMC Compliance

    33:23 The Role of Technology in Compliance

    35:38 Horizontal Practices in Compliance

    38:15 Building Effective Teams for Compliance

    42:21 Introduction to Compliance Failures

    45:19 The Human Element in Compliance

    48:10 Navigating Compliance Complexity with Technology

    48:57 Introduction to Cybersecurity Compliance Challenges

    54:09 The Role of People in Compliance Success

    56:01 Guest Introduction: Dorian Cougas

    01:00:48 Exploring Bloom's Taxonomy in Compliance

    01:05:48 The Importance of Shared Lexicons

    01:09:32 Navigating Compliance with Technology

    01:15:11 MoxieWolf's Approach to Compliance

    01:20:49 The Interconnectedness of Compliance Tasks

    01:27:51 Real-World Compliance Challenges

    01:33:57 Building Effective Teams for Compliance


    #Cybersecurity #ComplianceCulture #CMMC #HumanFactors #GRC #TechPolicy #SecureTalk

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    52 分
  • The ROI of Security Tested: What a new paper reveals about security value | Secure Talk with Minh Nguyen and Thi Tran
    2026/04/21


    Why do most cybersecurity investments feel impossible to justify? Because the measurement tools are broken — built on gut instinct, not research.

    Researchers Minh Nguyen (Florida Atlantic University) and Thi Tran (Binghamton University) set out to fix that. In this episode, they break down their landmark paper "Effects of Cybersecurity Readiness on Firm Performance: Evidence from Conference Calls" — the first study to systematically measure cybersecurity readiness at the firm level and link it directly to financial performance.


    What they found will change how you think about security budgets:


    → Outsider mentions of cybersecurity in earnings calls are 100x more predictive of firm performance than insider mentions

    → Even a single co-occurrence of security-related language drives measurable returns on assets the following year

    → Companies that act proactively - not reactively - earn greater market trust


    This is the episode for CISOs who need real data to justify investment, security leaders tired of folklore-based decision-making, and anyone curious about how AI, NLP, and causal inference are reshaping the business case for cybersecurity.

    Chapters

    00:00 Introduction to the Guests and Their Backgrounds

    02:34 The Intersection of AI, Business, and Cybersecurity

    05:32 Understanding Cybersecurity Readiness

    08:31 The Importance of Measurement in Cybersecurity

    11:16 Developing a Cybersecurity Dictionary

    14:16 The Impact of Outsider Perspectives on Firm Performance

    16:51 The Role of Transparency in Cybersecurity

    19:40 Future Research Directions in Cybersecurity

    22:37 Conclusion and Final Thoughts


    🔗 Paper: "Effects of Cybersecurity Readiness on Firm Performance: Evidence from Conference Calls" https://scholarspace.manoa.hawaii.edu/server/api/core/bitstreams/b098c310-db83-42cc-8932-852ef7ebcc86/content


    #Cybersecurity #CyberROI #CISO #FirmPerformance #CybersecurityResearch #NLP #CausalInference #InfoSec #SecurityLeadership #ConferenceCall``


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    48 分
  • They Sold AI to Play God. China Never Got That Memo.
    2026/04/07

    The West has been building AI like it's the apocalypse. China has been building it like it's a tool.


    That one difference — rooted in centuries of philosophy, theology, and cultural storytelling — may be the most important thing nobody is talking about in the AI debate right now.


    SecureTalk host Justin Beals sits down with scholars Bogna Konior (NYU Shanghai), Mi You (University of Kassel), and Vincent Garton to explore their co-edited book "Machine Decision Is Not Final: China and the History and Future of Artificial Intelligence" — and what it reveals about the hidden assumptions driving the decisions we make about AI governance, security, and society.


    What this conversation unpacks:

    → Why Western AI fear traces back to Christian theology — not rational risk analysis

    → How the Chinese term for AI literally means "human-made wisdom ability" — no alien mind implied

    → The 2019 Elon Musk vs. Jack Ma exchange that exposed the cultural divide in real time

    → What DeepSeek's open-source breakthrough says about innovation, restriction, and creative problem-solving

    → Why this debate matters far beyond the US and China — and who else is watching closely


    If you work in cybersecurity, tech leadership, or AI policy, the cultural lens on this technology isn't a soft question. It shapes real architectural, governance, and regulatory decisions.

    Chapters

    00:00 Introduction and Perspectives on AI in China
    02:41 The Meaning Behind the Claw Machine Image
    05:33 The Book's Creation and Collaborative Efforts
    08:32 Cultural Perspectives on AI: East vs. West
    11:06 The Impact of Open Source AI Models
    13:45 Innovation in a Controlled Environment
    16:20 Human-Made vs. Artificial Intelligence
    19:23 The Philosophical Underpinnings of AI
    22:06 The Role of Human Agency in AI Decisions
    24:54 Exploring the Future of AI and Society
    27:26 The Synthesis of Technology and Society
    30:22 Conclusion and Final Thoughts
    44:17 Understanding Artificial Intelligence: A Cultural Perspective
    47:08 Machine Decision: The Chinese Perspective on AI
    49:59 Innovation and Openness in AI Development
    50:27 Global Implications of AI Beyond Superpowers
    50:37 Introduction and Context of AI Governance
    01:00:53 The Role of Computers in Decision Making
    01:08:26 Transparency in AI and Governance
    01:17:58 Cultural Perspectives on AI: East vs. West
    01:23:46 The Singularity and Its Philosophical Implications
    01:27:15 Simulation and Reality in AI Discourse
    01:35:14 Social Implications of Large Language Models

    🎙️ SecureTalk is hosted by Justin Beals, CEO of Strike Graph.

    🔔 Subscribe for weekly conversations at the intersection of cybersecurity, technology, and leadership.


    #ArtificialIntelligence #AIPolicy #ChinaAI #DeepSeek #Cybersecurity #AIGovernance #TechLeadership #OpenSourceAI

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    53 分
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