EP42: Security as Strategy

Why does physical security still get treated as a cost center when it protects revenue, operations, people, and business continuity?In this episode of AI PHYSEC TODAY, Don Morrow sits down with Bobby Ballance to talk about what changes when physical security leaders start thinking like business leaders.They break down how security teams can connect risk to business value, communicate ROI to executives, and move beyond traditional metrics that don't always tell the full story.The conversation also gets into AI and automation in physical security, including why clean data and context matter more than impressive demos, where AI orchestration creates real value, and why having more cameras and more data doesn't necessarily make an organization more proactive.They also discuss computer vision, GSOCs, rapid growth and M&A, business continuity, and how the role of the security leader may change as AI takes on more routine work.If you work in physical security, security leadership, security operations, or are evaluating AI for your organization, this conversation is for you.CHAPTERS00:00 Why Security Is a Strategy00:50 Meet Bobby Ballance06:27 Why Security Is a Cost Center12:00 Thinking Like a Business Leader17:05 Risk, Impact & Security ROI21:22 What AI Buyers Actually Need26:19 Context, Data & Vertical AI31:31 Security Beyond Life Safety37:05 Connecting Risk to Revenue42:55 Proactive vs. Reactive Security49:29 Computer Vision vs. Humans54:59 Security During Growth & M&A57:05 Security Leadership in the AI Era59:17 Closing & Connect with Bobby

2+ hours of AI learning for the physical security industry, now available to everyone.In this special episode of AI PHYSEC TODAY, we're opening up the learning content originally created for the AI PHYSEC Learning Hub, our private community of 200+ people from across the industry and around the world.Inside, you'll learn about:• AI fundamentals• AI assistants• AI agents• Automation and workflows• Real-world AI use cases🤖 AI PHYSEC LEARNING HUB ASSISTANTWant to go deeper? Use the AI PHYSEC Learning Hub Assistant to ask questions, explore topics, and learn from the collective insights across the AI PHYSEC TODAY video library.Access the Learning Hub Assistant here:https://notebook.google.com/notebook/58ca3b3d-8f4d-4112-9a3b-ebdbd6b8703f?pli=1The Learning Hub was always about more than courses. It became a community where people could ask questions, share ideas, challenge each other's thinking, and learn together as AI began reshaping our industry.I'm incredibly grateful to everyone who helped make that community what it became.Now, we're opening the learning to everyone while taking the community into its next chapter: AI DRIVEN SECURITY LEADER.AI DRIVEN SECURITY LEADER brings these conversations into the real world through in-person executive roundtables focused on AI leadership, adoption, organizational change, and what it means to lead through this transformation.Subscribe to AI PHYSEC TODAY for more conversations and learning at the intersection of AI and physical security.#AIPHYSEC #PhysicalSecurity #ArtificialIntelligence

Is traditional SEO still enough for physical security companies in 2026?Search demand is higher than ever, but the way people find answers has changed. Buyers are no longer just clicking blue links. They’re asking full questions to AI systems and expecting a clear, trusted recommendation.In this episode of AI PHYSEC TODAY, Ben from Rocket Media explains why ranking on a results page is no longer the main goal. What matters now is whether your company gets retrieved, cited, and recommended inside the answer itself.We cover:Why the old “library” model of search is being replaced by an “answer” modelWhat AI Search Optimization actually requires from security companiesHow trust is built (and lost) when both humans and machines are evaluating youWhat search is likely to look like in five years when agents already know the buyer’s situationIf your marketing is still focused only on ranking for keywords, this conversation will show you what has to change.Brought to you by HighlandTech. We help physical security companies automate workflows and stay visible in the AI era.highlandtech.ai#AIPhysecToday #physicalsecurity #aso #SecurityMarketing #generativeai

As AI makes content easier than ever to create, trust has become the true differentiator.In this episode of AI PHYSEC TODAY, Don Morrow and David Morgan explore why authentic personal branding, credibility, and human connection matter more than ever. They discuss the rise of AI-generated content, how businesses can avoid "AI slop," and why AI should enhance expertise—not replace it.If you're looking to grow your business, strengthen your brand, or better understand the future of marketing, this episode is for you.🎓 Want to keep learning? Join our AI PHYSEC Learning Hub for AI insights, practical discussions, and educational resources for business and physical security professionals.👉 https://www.skool.com/ai-physec-learning-hub-3825/about?ref=3bdff2d5c23849119da402631933f562🚀 Ready to explore AI for your organization? Learn more about HighlandTech's AI Readiness Audit and discover how to identify automation opportunities, improve operational efficiency, and build a strategic roadmap for AI adoption.👉 https://highlandtech.ai/#/ai-audit

EP38: Proof of Value (PoV)

AI is saving time in physical security, but it may also be quietly creating cognitive debt. That’s the hidden cost that shows up later when teams stop practicing the thinking that made them good in the first place.In this episode, we break down cognitive debt in plain language for both GSOC operators and security executives, then dig into the real consequences of letting AI handle the “junior work.” When AI writes the first draft, ranks the incidents, and tells you where to look, what skills do operators stop building? What becomes harder to learn on the path to becoming a true senior operator, SOC manager, or security leader?We also explore the point-of-no-return moment for AI in the industry, the “London cabbie vs Uber” trap that pulls smart people into bad outcomes, and the craftsmanship skills in security that could disappear first if we are not intentional.You’ll hear practical frameworks and hard tests, including:The earliest warning signs a team is offloading thinking, not just tasksHow to decide whether a workflow creates cognitive debt or reduces itWhere “investigation compression” becomes “investigation corruption”How to prevent skill hollowing in proactive threat detection when humans cannot monitor everythingWhat modern SOC training is really preparing operators to do, and whether it’s honest about the jobWhat fails first if AI goes down for 24 hoursThe adult version of the “is this cheating?” question and how leaders should answer itWhat AI fluency looks like for operators, SOC managers, and CISOs, plus what each can do this monthWhy “struggle is a feature, not a bug,” and the one industry practice worth mandating to preserve the right kind of struggleIf you’re deploying AI in a GSOC, building an automation roadmap, or leading a security program, this episode will help you move faster without trading away the expertise your team will need when things get weird.Subscribe for more discussions on AI in physical security, workflows that actually work, and how to build teams that get stronger instead of softer.#AIPHYSECTODAY #PhysicalSecurity #GSOC #SOC #AI #AIAgents #SecurityOperations #RiskManagement #SecurityLeadership #CognitiveDebt

Before you buy another AI tool, there’s a leadership problem to solve first.AI does not fix unclear priorities, weak culture, or fuzzy definitions of success. It amplifies whatever is already inside your business. In this episode, we break down the foundational work leaders must do before automation or AI will actually deliver results, and why rushing to tools without clarity creates expensive, messy outcomes.In this video, we cover:• The leadership foundation you need before AI or automation even belongs in the conversation• “Why” vs “Want” and how mixing them up leads to pointless AI projects• Leadership as influence and why your ability to align people determines AI success• Culture, values, and the risk of deploying AI before mission and operating principles are real• People first: what AI readiness discovery should look like when done correctly• Change management: reducing resistance and preparing teams for new workflows• Pillars of scale: people, strategy, and financial discipline before AI accelerates anything• Leading through uncertainty: trust, clarity, and being the flashlight in the caveIf you want AI to work in the real world, it starts with leadership, people, and purpose.#AI #Leadership #Automation #BusinessStrategy #Management #FutureOfWork

🔍 Episode Title: ONVIF AI StandardsGuest: Leo Levit, Chairman of ONVIFHost: Don Morron | AI PHYSEC TODAYThe security industry is entering a new chapter and ONVIF is once again at the center of it. In this episode, we break down how the world’s leading standards body for physical security is tackling artificial intelligence and why AI metadata, digital trust, and cross-vendor interoperability will define the next decade of security technology.If you’ve ever wondered what AI standards will actually look like, why they matter, or how ONVIF will influence multi sensor and multi vendor environments, this is your episode.⸻🔥 In This Episode We Cover:• What ONVIF really is and why it was created back in 2008How a common language for IP video solved chaos in the early days of network cameras and VMS platforms.• The new AI problem ONVIF is trying to solveWhy today’s AI systems desperately need a shared way to exchange events, objects, context, and even natural language.• Inside the ONVIF AI Working GroupWhat the team is researching, what problems they’re mapping, and why this matters even before a formal AI profile exists.• Standardizing AI information flowWhat kind of metadata must be shared across devices and applications to make AI useful and interoperable.• Why vendor-locked AI pipelines are a dead endAnd how industry standards free integrators, consultants, and end users from closed ecosystems.• How Model Context Protocol and other emerging AI “languages” could fit into ONVIF’s future workWhere ONVIF sees alignment…and where it sees gaps.• Evolution from Profile M to true AI metadata standardsHow the organization is building on existing analytics work to support far richer, context aware AI.• Digital trust, authenticity, and the threat of deepfakesHow ONVIF is thinking about certifying original media in a world where synthetic content is easy to generate.• Moving from reactive to proactive securityHow standardized AI metadata helps operators prevent incidents instead of replaying footage afterward.• Where AI still falls short todayAccuracy, context, edge compute constraints, market expectations…the real limitations and opportunities.• Cutting through the marketing noiseHow standards bring clarity to what AI solutions can and cannot do.• The future state: multi sensor, multi vendor, AI powered securityWhat a fully interoperable environment could look like in 3 to 5 years.• How integrators, consultants, and end users can prepare nowSteps to stay ahead and avoid being locked out when AI-driven cloud and metadata features become the norm.⸻👍 If you work in physical security, this episode is a must-watch.You will walk away knowing exactly where AI standards are heading and how they will reshape your operations, deployments, and long-term strategy.Subscribe for more AI and physical security insights every week.Leave a comment with your biggest takeaway or question for Leo.

Is the software industry facing a "mass extinction" event?In this episode of AI PHYSEC TODAY, we sit down with Steve Van Till, Founder & CEO of Brivo, to unpack his controversial and transformative thesis: AI is eating software.For decades, Marc Andreessen’s famous "Software is eating the world" mantra defined the tech landscape. But as Steve argues in his recent piece for Security Journal Americas, that era is over. We are now entering a phase where AI-native agents and autonomous code generation are dismantling traditional SaaS moats.What does this mean for the physical security industry?When a small team can clone a major SaaS platform in just 30 hours using AI, the "Build vs. Buy" calculus changes forever. Steve breaks down which parts of the security stack are vulnerable, which "moats" (like field service and regulations) might actually hold, and how integrators can pivot from being software resellers to AI orchestrators.🔥 In this episode, we cover:- The "Mass Extinction" Event: Why traditional SaaS categories are the most vulnerable to AI disruption.- 30-Hour Clones: The shocking reality of how fast AI can replicate complex legacy products.- The Physical Security Moat: Can field technicians and fire codes protect our industry from pure-digital disruption?- Build vs. Buy 2.0: Criteria for deciding when to build your own AI capability versus buying off the shelf.- The Integrator Opportunity: How service providers can ride the wave instead of being displaced by it.- The New Software Layer: If software is "eaten," what replaces it? (Hint: It’s about orchestration and agents).👤 About Our Guest:Steve Van Till is the Founder and CEO of Brivo, the global leader in cloud-based physical access control. A pioneer in the security industry, Steve is also the author of The Five Technological Forces Disrupting Security and serves as Chairman of the SIA Standards Committee.🔔 Subscribe for more insights on the future of AI in Physical Security.#AIEatsSoftware #PhysicalSecurity #SaaS #AI #ArtificialIntelligence #Brivo #SecurityTechnology #PropTech #DigitalTransformation #Innovation #FutureOfWork #AIAgents #TechDisruption #BuildVsBuy #SystemsIntegration

Can we have real-time public safety without sacrificing privacy? This is the critical question facing the physical security industry.The answer isn't just "more AI," it's a new kind of AI.In our latest podcast episode, expert Steve Lindsey, Founding Partner of LVT and I explore the shift to Agentic AI. This isn't your traditional, rule-based analytics. Agentic AI is designed to be proactive and autonomous, using complex reasoning to act on goals.We dive deep into:The "Why": Why agentic AI is a pivotal transformation, moving security from passive monitoring to proactive, real-time deterrence.The "How": How we can identify suspicious behavior (proactive safety) without resorting to invasive biometric tracking or facial recognition (privacy violation).The Balance: Why safety and privacy are not mutually exclusive, and the critical role transparency plays in building public trust.The Future: What new AI governance frameworks are needed to ensure ethical, responsible deployment.This is the future of trusted security. If you're in security operations, building management, or tech innovation, this conversation is for you.Listen to the full episode and let us know what you think!#AgenticAI #PhysicalSecurity #AI #EthicalAI #ResponsibleAI #Privacy #PublicSafety #AIGovernance #ArtificialIntelligence #SecurityTech #Innovation #VideoSurveillance #RiskManagement #BehavioralAnalysis #DigitalTransformation