If last week’s conversation challenged the way you think about cybersecurity discipline, this episode pushes that conversation into even more urgent territory: AI.

In this continuation, Tonya sits down again with Scott Alldridge to unpack what happens when innovation outpaces governance. As organizations rapidly adopt AI tools—often without oversight—new risks emerge beneath the surface. From hidden data exposure to autonomous systems interacting in unpredictable ways, Scott reframes AI not as a technology problem, but as a leadership, governance, and operational discipline challenge. 

This conversation goes beyond hype and into reality—where AI expands attack surfaces, complicates compliance, and demands stronger foundational controls than ever before. If last episode was about discipline, this one is about velocity—and the cost of moving too fast without guardrails.

In this episode, they explore:

• Why rapid AI adoption is expanding organizational risk faster than governance can keep up 
• The hidden dangers of “AI sprawl” and why most companies don’t know how many tools they’re actually using 
• Why AI increases your attack surface and introduces new, harder-to-detect vulnerabilities 
• The difference between generative AI and agentic AI—and why autonomous systems raise the stakes 
• How AI tools can unintentionally leak confidential data or create compliance violations 
• Why governance, not tools, is the foundation of safe and effective AI adoption 
• The biggest blind spot in AI strategy: unclear ownership of risk across IT, business, and compliance 
• Why human oversight is still non-negotiable—even with advanced AI-driven security platforms 
• How foundational IT disciplines (like change, configuration, and integrity management) remain your strongest defense 
• The growing gap between AI innovation and regulatory clarity—and why organizations are still fully accountable 
• The role of third-party AI vendors in introducing unseen risk into your environment 
• The first critical steps leaders must take to regain control: inventory, pause, and reintroduce AI with governance 
• Why the next wave of major breaches and lawsuits will likely stem from unmanaged AI usage

Important Links:

https://app.technologymatch.com/solutions/ai-governance-risk-management

https://app.technologymatch.com/solutions/ai-security-posture

A complimentary e-copy of his Amazon Best Seller VisibleOps Cybersecurity. Text your email address with the words “secure 2026” to 541-359-1269 OR go to https://scottalldridge.com/ and fill out the contact form, noting “secure 2026."

Up to three no-cost Level One penetration tests/scans (for qualified organizations - $2,500 to $10,000 in value) Text your email address with the words “pen test” to 541-359-1269

If your organization believes it has “implemented zero trust” but things still feel uncertain beneath the surface, this episode challenges that assumption and reveals why cybersecurity gaps are often rooted in discipline, not tools.

In this conversation, Tonya sits down with Scott Alldridge to unpack what he calls the “zero trust illusion” and why most organizations overestimate their cybersecurity maturity. They break down how breaches often stem from internal gaps, not just external attacks, and why zero trust is a philosophy that must span multiple layers, not a single product or quick fix. 

Scott also shares the highest-leverage actions leaders can take right now, from validating backup and recovery systems to implementing real-time threat monitoring. This conversation reframes cybersecurity as an operational discipline that protects revenue, reduces risk, and ensures long-term business continuity. 

In this episode, they explore:

•  Why IT failures and security breaches often start with unapproved or unmanaged change 
•  The “zero trust illusion” and why most implementations are incomplete 
•  What zero trust actually requires across seven layers of security 
•  Why buying a tool does not equal building a cybersecurity strategy 
•  The hidden risks of identity gaps, privilege creep, and shadow IT 
•  Why microsegmentation is critical and often overlooked 
•  The real-world consequences of small security gaps becoming major breaches 
•  Why cybersecurity is still treated as a cost center and how that mindset creates risk 
•  The truth about cyber insurance claims and why many are denied 
•  How leadership decisions directly impact cybersecurity posture 
•  The role of operational discipline in preventing and containing breaches 
•  The two highest-leverage actions organizations should take immediately

Important Links:

https://app.technologymatch.com/solutions/zero-trust-microsegmentation

A complimentary e-copy of his Amazon Best Seller VisibleOps Cybersecurity. Text your email address with the words “secure 2026” to 541-359-1269 OR go to https://scottalldridge.com/ and fill out the contact form, noting “secure 2026."

Up to three no-cost Level One penetration tests/scans (for qualified organizations - $2,500 to $10,000 in value) Text your email address with the words “pen test” to 541-359-1269

If your IT initiatives keep stalling even with the right strategy, this episode pulls back the curtain on what’s really happening underneath and why talent decisions, not technology, are often the root cause.

In this conversation, Tonya sits down with Clayton Dinger, a specialist in enterprise IT staffing who works behind the scenes with leaders navigating high-stakes delivery gaps. Drawing from years of experience sourcing niche, high-demand talent, Clayton unpacks why even well-funded, well-planned initiatives can quietly derail when the wrong people are in the wrong roles at the wrong time. 

Together, they explore the hidden pressures IT leaders are carrying right now, from navigating a talent market full of “on-paper” performers to managing the risk of disengaged contractors who won’t stay through delivery. They break down the early warning signs of project drift, why stretching internal teams often creates compounding delays, and how the difference between the best available talent and the right talent ultimately determines outcomes.

Clayton also introduces a more strategic way to think about talent in today’s environment, moving beyond traditional hiring into a matrix model that blends a strong internal team with targeted external expertise. This conversation reframes staffing as a proactive leadership decision, one that reduces risk, accelerates delivery, and ensures teams have the right support at the right time to actually get across the finish line.

In this episode, they explore:

• Why IT projects stall even with the right strategy and executive buy-in
• The two biggest hiring risks: lack of transparency and lack of commitment
• How “imposters on paper” create real delivery risk
• The hidden cost of stretching internal teams too far
• Early warning signs a project is slipping before failure is visible
• Why working harder stops solving talent gaps
• The difference between the best available talent vs. the right talent
• When internal hiring works and when it quietly creates bigger gaps
• The real cost of waiting too long to bring in external expertise
• How to access the passive talent market for high-impact roles
• Why a matrix staffing model is replacing traditional hiring approaches
• How external experts accelerate delivery and transfer critical knowledge
• The leadership shift from endurance to strategic support design

Important Links:

https://app.technologymatch.com/solutions/staffing-options

https://www.linkedin.com/in/clayton-dinger-76a41aa1/

If you are a woman in tech leadership quietly wondering why success still feels exhausting, this episode names the invisible forces shaping that experience and what it actually takes to rise without burning out.

In this conversation, Tonya sits down with engineering leader and leadership coach Jossie Haines, whose career includes leadership roles at Apple, Tile, and American Express. Today, she helps women in tech navigate leadership, influence, and career advancement through her Awakened Leadership System.

Together, they unpack why so many high-performing women feel stuck despite delivering exceptional results. From subtle bias and invisible “glue work” to burnout disguised as ambition, they explore the systemic pressures and internal patterns that push many women out of the industry by mid-career.

Jossie explains why working harder often stops translating into advancement and how strategic visibility, advocacy, and business impact become the real drivers of leadership growth. They also discuss the difference between ambition that expands you and achievement that quietly erodes you.

They also explore the internal patterns many women carry into leadership roles, including over-functioning, people-pleasing, and seeking validation through constant achievement. These patterns often collide with real workplace bias, creating the exhausting double bind many women experience in tech leadership.

Jossie introduces the core pillars of her Awakened Leadership System, a practical framework designed to help women move from reactive survival mode into intentional leadership through clarity, resilience, strategic thinking, community, and executive influence.

They close by exploring why emotionally intelligent leadership will matter even more in the age of AI, where the leaders who succeed will not just be the most technical, but the most human.

This episode is not about fixing women. It is about understanding the systems shaping leadership experiences and building the clarity, strategy, and support required to rise without sacrificing yourself along the way.

In this episode, they explore:

• Why more than half of women leave the tech industry by mid-career
• How subtle bias and micro-aggressions accumulate over time
• The “glue work” trap that creates value but not promotions
• Why working harder stops advancing leadership careers
• The difference between ambition and self-abandonment
• Internal saboteur patterns like the hyper-achiever, controller, and pleaser
• Why strategic visibility and advocacy change promotion outcomes
• The role of support systems in sustaining ambitious careers
• Jossie’s Awakened Leadership System and its leadership pillars
• Why human-centered leadership will matter even more in the AI era

Important links:

https://app.technologymatch.com/solutions/the-leadership-impact-lab-for-engineering-leaders

https://www.linkedin.com/in/jossiemann/ 

https://jossiehaines.com/ 

If you are selling to IT leaders and wondering why your outreach is getting ignored, this episode explains the real shift happening inside enterprise buying: the modern IT buyer no longer needs a pitch. They need a partner.

In this conversation, Tonya sits down with Global Consulting Group’s Lara Mayes, April Armijo, and Leslie Bonsett to unpack how enterprise technology buying has changed and why traditional sales motions are increasingly misaligned with how IT leaders actually make decisions. Drawing from decades of experience working directly with CIOs, CTOs, and enterprise technology teams, they share what today’s buyers truly value and why curiosity, service, and trust are now the real differentiators in technology partnerships.

Together, they explore how information overload, longer buying cycles, and growing internal accountability have fundamentally shifted the expectations placed on technology vendors. IT leaders are researching solutions long before the first conversation. They are managing more responsibility with fewer resources. And they are increasingly skeptical of conversations that feel like pitches instead of support.

Throughout the conversation, Lara, April, and Leslie share real-world stories of how curiosity-led conversations turned into long-term partnerships, why emotional intelligence is an operational advantage in enterprise sales, and how service-driven relationships can compound into multi-million-dollar opportunities over time.

This episode is not about improving your pitch. It is about redefining what selling looks like in a market where trust is thin and attention is scarce.

In this episode, they explore:

• How the modern IT buyer has evolved and why traditional sales approaches are breaking down
• Why IT leaders are more informed than ever before the first sales conversation
• The impact of information overload, longer buying cycles, and growing decision committees
• Why curiosity and listening are now the most valuable “sales” skills
• How emotional intelligence shows up as real momentum in enterprise buying
• Why IT leaders are seeking strategic allies instead of product vendors
• How service-driven relationships compound into long-term partnerships and revenue
• The role consulting firms like Global Consulting Group play in sourcing and aligning the right technology solutions
• Why the future of enterprise sales will belong to partners who prioritize support, clarity, and trust

Important Links:

https://app.technologymatch.com/solutions/it-account-management

https://www.linkedin.com/in/laramayes/ 

https://www.linkedin.com/in/lesliebonsett-smartadvice/ 

If you are a CIO, CTO, or IT leader who secured the AI budget but still are not seeing meaningful ROI, this episode names the real issue: adoption is the constraint.

In this conversation, Tonya sits down with Robyn Anderson, AI adoption strategist and founder of JM AI, who has spent more than 20 years leading sales-driven growth and digital transformation. Robyn brings a practical operator’s lens to one of the biggest blind spots in AI transformation. Tools do not create impact. Behavior does.

She reframes AI adoption as both a change management challenge and a personal journey. Inside the same teams, some employees are compounding gains weekly while others have not even opened an LLM. The gap is not access. It is habit, psychology, and leadership.

Together, they unpack why course-based AI training often fails, how governance-heavy rollouts drive shadow experimentation, and why live, community-based learning increases completion and real-world usage. They also address the emotional side of adoption, including fear of being replaced and fear of not being capable, and why shame creates compliance but not transformation.

Robyn introduces the 15-minute-a-day “AI Gym” model, a simple rhythm that builds skill without overwhelm. They explore what a 30-day adoption playbook looks like, how to measure ROI through real business signals like sales and output, and why the future belongs to teams who learn fast together.

This episode is not about chasing more tools. It is about building habits that compound.

In this episode, they explore:

• Why AI budgets are rising while ROI lags
• The widening performance gap between adopters and non-adopters
• Why traditional AI training models stall behavior change
• The emotional realities behind resistance and fear
• What a practical 30-day AI adoption playbook looks like
• How to measure adoption in terms that tie back to revenue
• Why daily habit-building outperforms one-time transformation pushes
• The emerging shift toward humans managing AI agents

Important Links:

https://app.technologymatch.com/solutions/ai-training

https://www.linkedin.com/in/robynhansen/

If you are a CISO or IT leader who has invested in tools, training, and compliance programs yet still feels exposed, this episode confronts the uncomfortable truth: security doesn’t fail because of technology. It fails because of trust.

In this conversation, Tonya sits down with Robert Siciliano, security expert, private investigator, and bestselling author with more than 30 years studying how criminals exploit human behavior. Robert has been featured on major national media including CNN, Fox News, and The Today Show, and he brings a deeply human lens to cybersecurity. His core message is simple but disruptive: we are wired to trust, and attackers know it.

Robert calls it the human blind spot — the cognitive gap where biological trust overrides digital suspicion. And in a world of AI-generated video, voice cloning, and real-time deepfake Zoom calls, “trust what you see and hear” is no longer a viable strategy.

Together, they unpack why awareness training often plateaus, how shame quietly suppresses reporting, why compliance does not equal behavior change, and what it really takes to build what Robert calls a Strategic Human Firewall.

This episode is not about more tools. It is about changing hearts to change behavior.

In this episode, they explore:

• What the “human blind spot” is and why biological trust overrides digital suspicion
• Why phishing remains a top breach entry point despite strong tech stacks
• How security aversion and denial quietly undermine adoption
• The compliance trap: why awareness training often fails to change behavior
• How shame creates silent failures and suppresses breach reporting
• The difference between security awareness and security appreciation
• What a Strategic Human Firewall looks like in practice
• Real-world AI threats, including deepfake Zoom calls and voice-cloned kidnapping scams
• How to frame human risk for boards and CEOs without sounding alarmist
• One simple shift IT leaders can implement immediately to reduce human risk

Important Links:

https://app.technologymatch.com/solutions/the-strategic-human-firewall

https://www.linkedin.com/in/robertsiciliano/

If you are an IT leader feeling buried under nonstop urgency, executive AI mandates, rising security risk, and shrinking capacity, this episode speaks directly to the tension you are carrying.

In this conversation, Tonya sits down with Manuel Ruiz, a seasoned technology leader with decades of experience across enterprise environments including IBM and Sony, to explore how IT leaders can move fast without losing clarity, authority, or humanity. Rather than defaulting to hype or fear, Manuel breaks down what it actually looks like to design calm inside chaotic systems.

Drawing from years of leading through disruption, Manuel shares why security must evolve from “department of no” to strategic enabler, why AI is not a magic pill but a calculator that still requires discipline, and how leadership under pressure is less about speed and more about intentional cadence. Together, they unpack how to separate executive urgency from real business value, how to create safe guardrails for AI experimentation, and why kindness and emotional safety are performance strategies, not soft skills.

In this episode, they explore:

• Why IT is often blamed for stalled growth and how to reframe it as a growth enabler
• Why AI accelerates value and risk without clear guardrails
• How to translate executive AI urgency into real, measurable outcomes
• The first questions to ask before launching AI initiatives
• How dashboards and identity controls reduce reactive leadership
• Why inaction is often riskier than imperfect action
• How to build decision cadence without central bottlenecks
• What IT leaders need to stop doing to avoid burnout and chaos
• How to safely experiment with AI using staged environments and oversight
• Why kindness and emotional safety raise performance standards
• How to spot partners who create oxygen, not noise
• Why peer communities restore clarity and perspective under pressure

Important Links:

https://www.linkedin.com/in/manuelruiz01/ 

https://app.technologymatch.com/solutions/unified-core

https://app.technologymatch.com/solutions/unified-response

https://app.technologymatch.com/solutions/unified-security

https://app.technologymatch.com/solutions/unified-team

If you are an IT leader carrying constant urgency, invisible pressure, and expectations that keep shifting faster than your organization can stabilize, this episode names what most leaders are experiencing but rarely talk about.

In this conversation, Tonya sits down with Dave Zaron, founder of Sovereign Leadership, to explore the human side of leadership under sustained pressure. Rather than focusing on tools or tactics, Dave breaks down why burnout, reactivity, and decision paralysis are usually signs of internal misalignment, not leadership failure.

Drawing from his experience leading a technology firm through extreme disruption, Dave shares how leaders can reclaim authority, respond instead of react, and stop absorbing urgency, panic, and responsibility that do not belong to them. Together, they unpack why collapse is sometimes necessary, how accountability quietly erodes under stress, and what it actually takes to lead with clarity in an AI-accelerated world.

This episode is for leaders who are done being told to “just be more resilient” and are ready to lead with grounded authority instead.

In this episode, they explore:

• Why IT leaders are among the most underserved leadership groups and how invisible pressure accumulates
• The difference between delegation and abdication and how accountability quietly breaks down under stress
• Why mindset work alone is not enough and how to think about leadership as an internal operating system
• How misalignment in the body, mind, or identity layer shows up as reactivity and burnout
• The concept of grounded calm and why clarity, not urgency, is a leader’s real leverage
• What it means to lead when expectations shift faster than infrastructure can support
• Dave’s “stop, sort, and stand” framework for reclaiming authority during moments of collapse
• How resisting collapse creates suffering and why collapse can be a necessary reset point
• What sovereign leadership actually means and how it differs from servant leadership
• Why every interaction is a currency exchange and how leaders unknowingly absorb panic
• How leaders can stop carrying energy, urgency, and fear that do not belong to them
• What IT leaders should focus on as they head into 2026 amid continued AI acceleration

Important Links:

https://www.linkedin.com/in/davezaron/

https://sovlead.com/ 

https://app.technologymatch.com/solutions/fractional-cto

https://app.technologymatch.com/solutions/the-foundry

If you still think AI is something your organization can “watch for another year,” this episode will change your mind.

To open season two of Between Fires & Futures, Tonya welcomes back Allen Clingerman, Chief Technology Strategist at Dell, for a grounded, no-hype conversation about what has actually changed in AI since last spring and why 2026 is the year experimentation officially gives way to enterprise reality.

Allen brings nearly four decades of experience across mainframes, cloud, infrastructure, and AI to explain why AI is no longer a side project or innovation lab experiment. In just nine months, AI has moved from demos and copilots into core enterprise infrastructure, with reasoning models and agentic systems already operating in production environments. The result is new opportunity and an entirely new risk profile that most leaders are not prepared for yet.

This conversation goes beyond tools and trends to unpack what is really shifting underneath the surface, including how tokenization costs are reshaping architecture decisions, why private AI and hybrid deployments are accelerating, and what happens when AI systems do not just assist but act.

If you are an IT leader, executive, or strategist trying to balance speed, security, cost, and accountability in an AI-driven future, this episode offers the clarity most conversations skip.

In this episode, they dig into:

• Why AI crossed the line from experimentation to core infrastructure faster than anyone expected
• The rise of reasoning models and agentic AI and what changes when systems can plan, act, and execute with minimal human oversight
• Why governance, behavior control, and accountability now matter more than raw model performance
• The hidden risks of agentic systems, including quiet overreach, cascading failures, and machine-speed security threats
• What Dell learned by becoming “customer zero,” including how internal AI tools gave leaders back up to 75 percent of their time
• How tokenization costs are reshaping decisions around cloud, on-prem, and edge deployments
• Why private AI, small language models, and AI-enabled PCs are becoming critical to cost control and data protection
• The shift from one massive model to fleets of specialized, coordinated models running across hybrid environments
• Why most organizations get stuck in pilot mode and the three things blocking AI from reaching production
• What leaders should prioritize in 2026, including ownership, data readiness, workflow redesign, and change management
• Why the next big conversation will not be about AI features but AI behavior governance, shadow agents, and ML Ops maturity

Important Links:

https://app.technologymatch.com/solutions/dell-technologies-ai-factory

https://app.technologymatch.com/solutions/dell-ai-pcs

https://app.technologymatch.com/solutions/dell-ai-solutions

https://app.technologymatch.com/solutions/dell-pro-ai-studio

https://app.technologymatch.com/solutions/dell-pro-max-with-gb10

https://www.linkedin.com/in/clingerman/