From there, Ford and Blake walk through the key stages of a Zero Trust journey, including microsegmentation, access management, and auditing privileges to prevent lateral movement and privilege creep. They also discuss the operational realities leaders face—budgeting, prioritizing critical assets or “crown jewels,” and ensuring organizations have the talent and resources needed to sustain a Zero Trust architecture.

The takeaway: Zero Trust isn’t a single deployment, it’s an ongoing journey that evolves alongside emerging threats and technologies.

Show Notes:
Michael Blake: https://www.linkedin.com/in/michael-blake-734b0a21/ | Email: mblake@owlcyberdefense.com
DoW resources https://dowcio.war.gov/Library/: security controls, checklist, self assessment, Penn test guidelines etc
Zero Trust | www.dau.edu
Dell Technologies Project Fort Zero to Transform Security | Dell USA
MITRE papers on evolving threats of giving AI access to network - https://ctid.mitre.org/blog/2025/05/09/secure-ai-v2/
Owl ZT resources: https://owlcyberdefense.com/zero-trust-cds/

Vendors that assist with ZTX, listen to the BLUF Podcast summaries to know if they might be able to help you: https://theblufpodcast.podbean.com/e/thebluf_episode12/ https://theblufpodcast.podbean.com/e/thebluf_episode13/

This isn’t speculation. It’s trajectory.

The group tackles the accelerating collapse of content trust in a world of deepfakes, AI-generated media, and short-form misinformation. As generative tools become indistinguishable from reality, they predict a sharp shift toward deep identity assurance—powered by behavioral biometrics, cryptographic validation, and provable content provenance. In a future where “guaranteed human” becomes a competitive advantage, digital identity won’t be optional—it will be foundational.
From there, the conversation moves into AI containment. The panel argues that we must stop treating AI like helpful software and start treating it like a privileged insider—with unpredictable outputs and real liability attached. The solution? Deterministic boundaries enforced in hardware. As Scott puts it: if you want to confine a tiger, you don’t build the cage out of meat.

The episode also explores:

• The federal government’s accelerating shift from legacy primes to agile, non-incumbent innovators delivering 80% solutions faster
• Why battlefield communications must evolve beyond encryption to real-time, hardware-enforced trust
• How AI-powered offensive attacks are shrinking from teams to individuals—sometimes in Power Ranger suits
• The limits of Zero Trust when complexity, cost, and talent gaps collide
• Why cross-domain solutions and data diodes may be the real fail-safes in an increasingly networked world

Throughout the discussion, a clear thread emerges: software alone won’t save us. As systems grow more interconnected, autonomous, and AI-driven, trust must be anchored in hardware—simple, enforceable, and resistant to both human error and machine-scale attack.

The takeaway for 2026? Security leaders won’t lose because they lacked tools. They’ll lose because they trusted the wrong ones.

This episode challenges listeners to rethink modernization, containment, and what real trust looks like when machines are making decisions at machine speed.

Stay curious. The future isn’t waiting.

Shownotes
Scott Orton: LinkedIn | Email: sorton@owlcyberdefense.com
Brian Carter: LinkedIn | Email:bcarter@owlcyberdefense.com
Ralph Spada: LinkedIn | Email: rspada@owlcyberdefense.com
Michael Blake: https://www.linkedin.com/in/michael-blake-734b0a21/ | Email: mblake@owlcyberdefense.com
Owl Cyber Defense: owlcyberdefense.com
Download the 2026 Predictions Report: https://owlcyberdefense.com/resource/decision-advantage-forecast-five-security-shifts-in-2026/
Story - Power Ranger Hacker: https://futurism.com/artificial-intelligence/tinder-for-nazis-hacked

Tracy, who regularly briefs at the Pentagon, explains why this move is less about reshuffling boxes on an org chart and more about breaking down long-standing silos between research, prototyping, operational deployment, and data governance. By bringing organizations into tighter alignment, the goal is parallel execution with shared visibility, faster momentum without sacrificing mission integrity. But speed brings risk. Cultural friction between research environments (where failure is tolerated) and operational environments (where failure carries consequences) could become the real test of whether this consolidation succeeds.

Rather than leaving AI adoption to fragmented pilot programs or shadow experimentation, leadership is pushing controlled, enterprise-scale access. Carolyn and Tracy explore why offering multiple models matters strategically, how secure infrastructure is already in place to support it, and what it means when leadership says, “Use it—prove you can’t.”
They also examine the restructuring of Advana, the Pentagon’s enterprise data platform, and what its breakup signals about data ownership, governance, and the ongoing battle between centralized visibility and cultural resistance. The real friction point, Tracy argues, isn’t technology, it’s data stewardship, policy alignment, and whether organizations are willing to move from “my system, my risk” to shared mission accountability.

Throughout the episode, they return to the central question of the series: So what actually changes? They outline the signals they’ll be watching over the next three months, speed of adoption, policy adaptation, cross-organizational collaboration, and whether cultural barriers soften or harden under pressure.

This is a conversation for leaders navigating large-scale transformation, those wrestling with how to accelerate innovation without losing control, and how to align people, process, and technology when the mission demands both speed and accountability.

Show Notes:
LinkedIn: https://www.linkedin.com/in/Tracyylbannon/
E-mail: Trac@Tracybannon.tech
Website: https://Tracybannon.tech/
Breaking Defense: Pentagon Reforms R&D and AI- https://breakingdefense.com/2026/01/pentagon-rolls-out-major-reforms-of-rd-ai/
Tracy Bannon Blog: https://straighttalk4gov.org/
GenAI.mil Info: https://www.war.gov/News/Releases/Release/Article/4354916/the-war-department-unleashes-ai-on-new-genaimil-platform/
Advana background: https://www.ai.mil/Initiatives/Analytic-Tools/
Moltbook: https://www.moltbook.com/

The conversation explored why storytelling beats “speeds and feeds” when it comes to helping leaders and teams understand technology, remember what matters under pressure, and create real decision advantage. Steve explains how story creates emotional connection, strengthens recall, and gives context that data sheets can’t. Together, the hosts dig into the OODA loop, using a visceral film clip from We Were Soldiers to illustrate what decision-making looks like in chaos—then fast-forward to the near-future battlefield described in Skip Jack, where leaders are overwhelmed by sensors, AI, intel feeds, and massive data volume.

A highlight is the reading from Chapter Five, where the commander describes mining high-threat networks and the dark web, relying on data diodes to stop malicious payloads hidden in media files, and pushing decisions to the point of information to speed response in a “nonkinetic war… at the speed of the internet.”

The episode closes with rapid-fire “Tech Talk” questions—night vision tech, dream casting for Nicky Fury, and fictional worlds worth visiting—before the live audience transitions into the event’s first mission brief.

Mentioned in this episode:
Joseph Bradley’s book U to the Power of 2 (Pre-order: josephmbradley.com | ​​https://shop.u-x2.ai/)
Paperclip dilemma thought experiment - https://nickbostrom.com/ethics/ai
Smart vs. Cognitive Cities https://www.pwc.com/m1/en/publications/documents/cognitive-cities-a-journey-to-intelligent-urbanism.pdf
Questioneering: The New Model for Innovative Leaders in the Digital Age

In our milestone 100th episode, Lt. General Susan Lawrence, President & CEO of AFCEA International and former CIO of the U.S. Army, joins host Carolyn Ford for a compelling conversation about the future of national defense in an AI-powered world. Together, they unpack:

• Why cybersecurity and data integrity must be the foundation of AI adoption
• How real-world conflicts like Ukraine are reshaping battlefield technologies
• What ethical AI deployment looks like across the military, government, and industry
• Why collaboration, not competition, is key to staying ahead of adversaries
• How to prepare today’s workforce for tomorrow’s digital fight

Whether you're in the public sector, tech, or defense, this episode is packed with powerful insights on innovation, leadership, and national resilience.

Capt. Austin challenges the hype, emphasizing the need for clear problem definition, strategic alignment, and human-centered design when applying AI in defense and beyond. They explore how AI can “buy back time,” why empathy is a critical leadership skill in tech adoption, and whether C-3PO or R2-D2 is the better model for agentic warfare.

You’ll hear:

• Why the best prompt engineering starts with leadership, not code
• What military organizations can teach us about AI adoption and design thinking
• The difference between generative and agentic AI—and why it matters
• A surprising take on AI’s boot camp curriculum (spoiler: not swimming)

Whether you're building policy, coding tools, or just trying to avoid another expense report, this episode will expand your thinking about AI’s role in high-stakes environments.

In this special Tech Transforms + ATARC crossover episode, Carolyn Ford talks with Frank Indiviglio, Chief Technology Officer at NOAA, about how AI, data science, and high-performance computing are transforming weather forecasting, climate modeling, and ocean research. Frank shares how NOAA uses tools like REMUS underwater vehicles, balances open data with cybersecurity, and drives innovation through cross-sector collaboration.

Resources & Links:
🌐 Learn more about NOAA’s AI initiatives: noaa.gov/ai
🔗 Connect with Frank Indiviglio on LinkedIn: Frank Indiviglio

Tune in for insights on the future of AI, oceans, and innovation!

Listeners will learn:

• What “large action models” (LAMs) are, and how they differ from large language models
• How AI agents are already reducing friction in Salesforce and Slack
• Why AI success depends on access to high-quality, actionable data
• What’s driving the shift toward small language models and what that means for secure, on-device AI
• Why “agent-washing” is the new “AI-washing”—and how to spot it
• What makes a truly impactful agent vs. a glorified chatbot
• Dave’s favorite sci-fi robot, a monkey’s paw superpower wish, and what tech breakthrough he thinks is coming next

📌 Show Notes:

Guest: Dave Egts, Field CTO at MuleSoft, a Salesforce company
🔗 Follow Dave on LinkedIn

🎧 Listen to the Dave & Gunnar Show

Key Topics:

[00:00] Intro & Dave’s blog: “5 AI Predictions for 2025”

[03:00] What’s an AI agent? Why they’re different from GenAI

[07:30] Real-world examples from Salesforce: Agentforce in action

[14:00] The importance of APIs for agent success

[15:45] Government use cases & security considerations

[18:00] Internal AI agents that reduce toil (meeting schedulers, IT help, expense reports)

[22:00] Cylon references & the power of digital labor in public sector

[29:00] Small Language Models: Why smaller might be better

[36:00] LLM Routers explained

[38:00] Fun Tech Talk Q&A (Superpowers, overhyped trends, sci-fi names)

Resources Mentioned:
📖 Dave's Blog: 5 AI Predictions for 2025: Opportunities Tech Leaders Must Seize This Year

💡 Trailhead Learning Platform from Salesforce: Learn to build your own agent

🤖 Help.Salesforce.com – Try Agentforce

📺 Forbidden Planet (Robby the Robot)

🐒 Monkey’s Paw story reference

On this episode of Tech Transforms, Scott Orton and Mike Mehlberg join Carolyn Ford to explore the future of secure software development. They tackle:

✅ The Power of SBOMs – Why software transparency is a game-changer (and why some companies still resist it)
✅ Open-Source Risks – How attackers exploit vulnerabilities in widely used packages and what to do about it
✅ Rust Programming Language – The case for transitioning to a more secure, memory-safe coding environment
✅ AI in Software Development – How AI is transforming cybersecurity, from automated vulnerability detection to mitigating risks before they happen
✅ Cross-Domain Solutions – The push toward hygienic networks and a proactive approach to security in classified environments

They also discuss real-world security threats, including a recent open-source software attack that nearly went undetected. Plus, Scott shares his vision for AI inspired by non-human intelligence (think squids and insects! 🦑).

🔹 If you're in software development, cybersecurity, or tech leadership, this episode is a must-listen!

📲 Connect with Scott and Mike on LinkedIn for more insights.

🎧 Listen now and stay ahead in the world of secure software and cyber defense!

Key Topics Covered:

• Integrating generative AI into the SDLC
• Trust and human factors in using AI tools
• Promising applications of AI in software development
• Security considerations and risks of AI-generated code
• Shaping the future of AI in a responsible way

Sponsor:
This episode is brought to you by OWL Cyber Defense, leaders in secure data transfer solutions for critical networks.