Innovation Obsessed

Oosto

A podcast by Oosto.

  1. 06/05/2025

    Real-Time Data: Preventing the Blind Spots That Break Public Safety

    Public safety shouldn’t be a waiting game. In this episode of Innovation Obsessed, Shawn Yujuico Fontenot, Head of Global Marketing, joins Andre McGregor—former Special Forces FBI agent, who served as a cyber-trained agent, part of the first National Security Cyber Squad and founder of ForceMetrics—explore what proactive policing looks like in practice, and what it costs when first responders don’t have access to mission-critical data. From law enforcement technology gaps to real-world stories of missed intervention, McGregor draws on years of field experience, community engagement, and tactical innovation to make one thing clear: the data already exists. What matters is how quickly we surface it. Andre emphasizes the urgent need for innovative, rapid-response data solutions in law enforcement: “If I don’t get that data until two days later, it’s not useful. That means something’s already happened.” Outdated Tech, Undermined Response McGregor recalls that when he joined the FBI, agents were still using mainframe systems that weren’t phased out until 2013. Even then, the $200 million upgrade failed. “Police departments deserve DARPA (Federal Defense Advanced Research Projects Agency) innovation and Apple simplicity, but we give them the budget of an iPhone.” The average department allocates less than 1% of its budget to new technology. Without meaningful investment in tools to capture data, responders are left to make life-or-death decisions with outdated information. Investing in real-time data aggregation platforms does more than improve immediate situational awareness—it surfaces deficiencies in training, protocols, and resource deployment. With these insights departments respond more effectively in the moment and can adapt over time. What may begin as a technology upgrade often becomes a roadmap for long-term operational improvement and a clearer understanding of community safety needs. The Impossible Ask Today, the expectation is that officers and first responders must be right all the time—even with partial, late, or missing information. Andre’s frontline experience—responding as an FBI agent, listening in on 911 calls at dispatch centers, riding along on domestic violence calls, and seeing how often critical context is buried in unread reports—showed him just how urgent it is to surface the full human story behind each interaction. “So, think about this. If I'm an officer and I'm interacting with you, the first thing I'm thinking is: are you going to kill me? The second: are you going to kill someone else? The third: are you going to kill yourself?” And that doesn’t account for the broader context—responding appropriately to a missing child report, recognizing patterns in where someone with dementia tends to wander, understanding PTSD to avoid triggers, or being aware of a history of domestic abuse or housing insecurity. McGregor frames it simply: “Law enforcement needs a social truth, not just a criminal record. And they need it in seconds.” Prevention is Possible—If We Listen Early Enough McGregor shared real-world examples where behavioral data showed signs long before tragedy struck. Domestic violence rarely escalates overnight. Frequent 911 hang-up calls, unexplained injuries or hospital visits, and restraining order violations—each is a warning sign and an opportunity to intervene before the situation worsens. Andre illustrates how even a minor incident can reveal much deeper issues:“I may be here because of shoplifting, but it's also that there's a mental health need or even worse, you're a domestic violence victim and your partner took your money and you need formula.” Juvenile offenders often have a trail of trauma behind them. Calmness with a firearm can indicate repeated exposure to violence.“Most crimes don’t usually go from zero to shooting people. There are many, many little steps to get there.” And yet, police respond to more than 20,000 domestic violence calls daily. Over 60% of youth in the U.S. have been exposed to violence. These are not isolated events—they’re patterns. “You’re looking for the indicators of behavior that allow for intervention before blood is shed.” Smarter Tools for Safer Interventions An estimated 1 in 10 police calls involve someone with a serious mental illness (Source). Yet only a fraction of departments have the tools, training, or data access needed to respond appropriately. Only 15% of law enforcement agencies require mental health crisis training (Source). But not every call fits that mold—officers encounter a broad range of individuals with neurological conditions, dementia, or other complex cognitive needs that require a different approach. Nearly half of children with autism will attempt to wander at least once—and many are unable to communicate their name or phone number (Source). If an officer knows a child with autism has a history of wandering and is often drawn toward water, they can begin searching near ponds, rivers, or pools—before a call turns into a recovery mission. When the right information arrives early, tragedy doesn’t have to. AI-powered technology can help fill these critical gaps by handling data collection and surfacing what matters—so first responders can focus on safety, not system searches. A Data-Driven Future for Public Safety Every missed moment comes at a cost—not just in lives, but in trust, community stability, and the basic right to feel safe. Yet most public safety systems are still built to react, not prevent. Andre McGregor challenges us to redefine success in public safety—not by what we respond to, but by what we prevent: “Let’s measure success in new ways. Let’s create value around what didn’t happen.” Success shouldn’t only be counted in arrests made or reports filed—it should be measured in lives uninterrupted, crises averted, and communities that never had to feel the impact of violence or tragedy. With the right tools, the data already being collected—911 calls, police reports, behavioral patterns—can help identify risks before they escalate. Innovation doesn’t replace human judgment; it strengthens it, giving responders clearer insight and faster context when every second matters. Because safety isn’t just a goal. It’s a right—and innovation is how we protect it before harm ever occurs.

  2. 06/05/2025 ·  Video

    Real-Time Data: Preventing the Blind Spots That Break Public Safety

    Public safety shouldn’t be a waiting game. In this episode of Innovation Obsessed, Shawn Yujuico Fontenot, Head of Global Marketing, joins Andre McGregor—former Special Forces FBI agent, who served as a cyber-trained agent, part of the first National Security Cyber Squad and founder of ForceMetrics—explore what proactive policing looks like in practice, and what it costs when first responders don’t have access to mission-critical data. From law enforcement technology gaps to real-world stories of missed intervention, McGregor draws on years of field experience, community engagement, and tactical innovation to make one thing clear: the data already exists. What matters is how quickly we surface it. Andre emphasizes the urgent need for innovative, rapid-response data solutions in law enforcement: “If I don’t get that data until two days later, it’s not useful. That means something’s already happened.” Outdated Tech, Undermined Response McGregor recalls that when he joined the FBI, agents were still using mainframe systems that weren’t phased out until 2013. Even then, the $200 million upgrade failed. “Police departments deserve DARPA (Federal Defense Advanced Research Projects Agency) innovation and Apple simplicity, but we give them the budget of an iPhone.” The average department allocates less than 1% of its budget to new technology. Without meaningful investment in tools to capture data, responders are left to make life-or-death decisions with outdated information. Investing in real-time data aggregation platforms does more than improve immediate situational awareness—it surfaces deficiencies in training, protocols, and resource deployment. With these insights departments respond more effectively in the moment and can adapt over time. What may begin as a technology upgrade often becomes a roadmap for long-term operational improvement and a clearer understanding of community safety needs. The Impossible Ask Today, the expectation is that officers and first responders must be right all the time—even with partial, late, or missing information. Andre’s frontline experience—responding as an FBI agent, listening in on 911 calls at dispatch centers, riding along on domestic violence calls, and seeing how often critical context is buried in unread reports—showed him just how urgent it is to surface the full human story behind each interaction. “So, think about this. If I'm an officer and I'm interacting with you, the first thing I'm thinking is: are you going to kill me? The second: are you going to kill someone else? The third: are you going to kill yourself?” And that doesn’t account for the broader context—responding appropriately to a missing child report, recognizing patterns in where someone with dementia tends to wander, understanding PTSD to avoid triggers, or being aware of a history of domestic abuse or housing insecurity. McGregor frames it simply: “Law enforcement needs a social truth, not just a criminal record. And they need it in seconds.” Prevention is Possible—If We Listen Early Enough McGregor shared real-world examples where behavioral data showed signs long before tragedy struck. Domestic violence rarely escalates overnight. Frequent 911 hang-up calls, unexplained injuries or hospital visits, and restraining order violations—each is a warning sign and an opportunity to intervene before the situation worsens. Andre illustrates how even a minor incident can reveal much deeper issues:“I may be here because of shoplifting, but it's also that there's a mental health need or even worse, you're a domestic violence victim and your partner took your money and you need formula.” Juvenile offenders often have a trail of trauma behind them. Calmness with a firearm can indicate repeated exposure to violence.“Most crimes don’t usually go from zero to shooting people. There are many, many little steps to get there.” And yet, police respond to more than 20,000 domestic violence calls daily. Over 60% of youth in the U.S. have been exposed to violence. These are not isolated events—they’re patterns. “You’re looking for the indicators of behavior that allow for intervention before blood is shed.” Smarter Tools for Safer Interventions An estimated 1 in 10 police calls involve someone with a serious mental illness (Source). Yet only a fraction of departments have the tools, training, or data access needed to respond appropriately. Only 15% of law enforcement agencies require mental health crisis training (Source). But not every call fits that mold—officers encounter a broad range of individuals with neurological conditions, dementia, or other complex cognitive needs that require a different approach. Nearly half of children with autism will attempt to wander at least once—and many are unable to communicate their name or phone number (Source). If an officer knows a child with autism has a history of wandering and is often drawn toward water, they can begin searching near ponds, rivers, or pools—before a call turns into a recovery mission. When the right information arrives early, tragedy doesn’t have to. AI-powered technology can help fill these critical gaps by handling data collection and surfacing what matters—so first responders can focus on safety, not system searches. A Data-Driven Future for Public Safety Every missed moment comes at a cost—not just in lives, but in trust, community stability, and the basic right to feel safe. Yet most public safety systems are still built to react, not prevent. Andre McGregor challenges us to redefine success in public safety—not by what we respond to, but by what we prevent: “Let’s measure success in new ways. Let’s create value around what didn’t happen.” Success shouldn’t only be counted in arrests made or reports filed—it should be measured in lives uninterrupted, crises averted, and communities that never had to feel the impact of violence or tragedy. With the right tools, the data already being collected—911 calls, police reports, behavioral patterns—can help identify risks before they escalate. Innovation doesn’t replace human judgment; it strengthens it, giving responders clearer insight and faster context when every second matters. Because safety isn’t just a goal. It’s a right—and innovation is how we protect it before harm ever occurs.

  3. 05/22/2025 ·  Video

    Securing Healthcare’s Frontlines: Designing Spaces That Save Lives

    Healthcare security: It's not just complex, it's critical. The rapid growth, consolidation, and operational intricacies of hospitals and medical centers create unparalleled challenges. From managing expansive facilities to securing sensitive patient areas while ensuring seamless daily operations, it's a constant balancing act. In this episode of Innovation Obsessed, Grace Pluta from Oosto moderates a timely conversation with Lou Martin and Bill Gable from NextGen Security, who share their frontline experience securing healthcare facilities across the East Mid-Atlantic. They're joined by Nate Snyder from Oosto, offering a technology-driven perspective on how AI and analytics are reshaping healthcare security today. The Challenge: Constant Change in Complex Environments Lou Martin captures the core tension in healthcare security today: “The constant change in healthcare facilities means security teams have to be just as adaptable. Staffing, patient flow, and facility consolidation create unique challenges that require both smart technology and seamless operations.” Hospitals are not static buildings—they are living, breathing ecosystems. Between mergers, expansions, and shifting care models, security systems must be flexible and scalable. Lou’s frontline perspective comes from managing operations across a diverse and growing hospital network where every facility has different security needs and legacy systems. Without adaptability, gaps emerge that can threaten safety and operational continuity. Bill Gable highlights the nuance around privacy and safety: “You can’t just bolt on security devices. Placement matters, especially where privacy is involved—like in emergency rooms or operating theaters. It’s about building trust and safety without disruption.” Protecting sensitive patient areas creates challenges that few other industries have. Cameras and access controls must follow strict health rules like HIPAA, so where devices are placed and how data is handled requires extra care. Bill’s experience shows that security systems need to be carefully designed to support staff and patients—not make them feel uncomfortable or get in the way. Doing More with Less: AI as a Force Multiplier Healthcare staffing shortages and burnout are well documented. A recent survey found that over 60% of nurses have considered leaving their profession due to workplace violence and stress. In this context, Nate Snyder explains how AI technology can shoulder some of the security burden so healthcare workers can focus on what matters most—care: “AI can sometimes take on the jobs of multiple people so healthcare workers can focus on care—not on watching over their shoulder. It’s about protecting people while making their lives easier.” From facial recognition that verifies identities at secured access points to real-time alerts about suspicious behaviors, hospitals are using Vision AI to enable their security teams to be more efficient and proactive, without adding friction to daily operations. Practical Solutions Making a Difference Bill emphasizes the importance of cohesion between security and hospital operations: “You can’t just install technology and walk away. It’s about working closely with clinical staff, facilities teams, and security leadership to create standards that everyone understands and trusts.” Successful healthcare security programs are holistic, blending technology with policy and training. Establishing clear protocols ensures that when an alert happens, every team member knows their role—minimizing response times and maximizing safety. Balancing Security and Patient Experience Healthcare facilities operate 24/7 with thousands of visitors and staff passing through every day. Lou notes: “It’s a balance of convenience and safety—making sure patients and authorized staff can move freely while keeping bad actors out.” Nate points out how technology can reduce friction: “A doctor scrubbed in for surgery shouldn’t have to fumble with a badge. Facial recognition and smart authentication provide secure access without interrupting care.” Anticipating Threats Before They Happen Violence, insider threats, and unauthorized access remain critical risks for healthcare security teams. Nate shares: “It’s not just about reacting to threats, it’s about anticipating them—and responding in ways that protect everyone.” By using predictive analytics and behavior-based alerts, hospitals can reduce response times and intervene before incidents escalate. The Path Forward: Adaptable, Layered Security for Healthcare As healthcare environments continue to evolve, leaders must embrace adaptable, layered security strategies that combine technology with people and process. Lou concludes: “Protecting healthcare facilities isn’t just about safeguarding assets or profits—it’s about protecting people’s lives.” This episode offers a blueprint for hospitals looking to modernize their security operations—blending operational expertise with AI-powered technology to create safer, more resilient healthcare spaces.

  4. 04/10/2025

    Beyond the Myths: The Truth About Vision AI Security, Ethics, and Privacy

    She didn’t see him—AI could have.On a late hospital shift, an exhausted nurse looked up and locked eyes with someone she never expected to see—a former patient with a history of aggression. He wasn’t supposed to be there. A restraining order was in place. But security had no idea. This isn’t about surveillance—it’s about prevention. AI for good means identifying real threats before harm happens. "When you think about security, AI, biometrics, and behavior detection, a lot of red flags may go up," said Ben Thomas, host of Pro AV Today. A longtime technology analyst, Ben has seen how misinformation distorts public perception. "And a lot of times, those red flags go up because there's a lot of miseducation out there." In our latest episode of Innovation Obsessed, Ben Thomas and Shawn Fontenot, VP of Global Marketing at Oosto, tackle the biggest misconceptions about AI security. They explore how misinformation stalls progress and why AI, when done right, is a force for good—protecting people before it’s too late. Responsible AI Considerations for SecurityResponsible AI narrows the focus to specific known threats. "We’re not looking for everyone," said Shawn. "In fact, when we start with a customer, we start with an empty database. We don’t scrape data from the internet. We don’t track people’s movements. We don’t even know who you are unless you’re on a security watchlist—like a known bad actor, a banned individual, or someone with a restraining order." With Oosto, customers populate and control watchlists and create rules to uncover safety and security threats. The system completely ignores individuals not on those watchlists. Real-World Example: AI in Highly Regulated IndustriesCasinos, some of the most heavily regulated security environments in the world, rely on facial recognition for targeted threat detection and for identifying self-excluders: people who want help in breaking their addiction to gambling. "Casinos aren’t just sending out a squad of people when an alert pops up," explained Shawn. "They go through multiple layers of verification before taking action. It’s about identifying repeat offenders, fraudsters, and those banned from the premises—not tracking guests." This model is used in airports, hospitals, and critical infrastructure where security matters most. Instead of relying on human guards to remember hundreds or thousands of faces—a process prone to error—AI helps ensure only pre-identified threats are flagged. Addressing Bias and AccuracyAI is only as good as the data that built it, and bias arises when algorithms are trained on limited or unrepresentative datasets. "Some applications of facial recognition have given the industry a bad name," said Shawn. "But the truth is, most people we’re looking for aren’t standing still, looking at a camera. They’re in motion, in crowds, in bad lighting. Our AI is trained for those conditions—not just perfect, static images." In this episode, Ben and Shawn discuss what makes ethical AI security different: Diverse Training Data: Oosto’s AI is trained on millions of images across all demographics, ensuring real-world accuracy, not just lab-tested results.Continuous Testing & Validation: Unlike AI systems that rely solely on controlled, static images, Oosto's technology is tested in real-world environments—where conditions are far more unpredictable.Independent Regulatory Scrutiny: Oosto’s AI is used in 95% of Las Vegas casinos, which must re-evaluate and validate facial recognition accuracy every six months under Nevada Gaming Commission regulations."Our models are constantly being refined and tested in the real world, which is why we continue to meet and exceed regulatory standards," Shawn explained. Privacy Considerations"I always tell folks, you watch CSI and they keep saying 'enhance, enhance' until they zoom in all the way to a credit card number. That’s just not how it works," Ben said with a laugh. A major misconception about AI security is that it collects, stores, and tracks personal data. Ethical AI systems do not operate that way. "We don’t even store personal data. When a face is scanned, it’s converted into a mathematical vector—there’s nothing to steal," explained Shawn. They discuss how responsible AI security follows strict privacy-first principles: No open-source data scraping: Unlike some facial recognition providers, Oosto does not train its AI on social media images or public databases.No mass data retention: AI security systems must follow data minimization principles, ensuring data is only stored as long as necessary.Human Oversight on Every Alert: Every alert is verified by human reviewers before any action is taken.Real-World Example: Protecting Healthcare WorkersOne of the most practical applications of AI security today is in hospitals, where staff—including nurses and doctors—face growing threats of violence. "If you’re a nurse, and there’s someone you have a restraining order against, you shouldn’t have to worry about whether security will recognize them at the door," said Shawn. Instead of relying on human memory and manual monitoring, AI can alert security the moment a flagged individual enters the facility—giving staff time to take preventative action before an incident occurs. AI Security: A Force for GoodThe conversation around AI security shouldn’t be framed as a battle between privacy and protection—it should be about how we use technology to create safer environments while upholding ethical standards. As Shawn focuses on in the episode, Oosto’s mission is to harness Vision AI for Good—a commitment to using artificial intelligence responsibly to protect people, businesses, and communities without compromising privacy. Ethical AI security is about proactive protection, not surveillance. It’s about ensuring healthcare workers, retail employees, university students, corporate staff, and the public are safeguarded from known threats—without indiscriminate monitoring or data misuse. By prioritizing transparency, responsible deployment, and privacy-first design, AI security becomes an essential tool for preventing harm before it happens. With the right approach, security and privacy don’t have to be at odds. We can, and must, have both.

  5. 02/20/2025

    Violence in Healthcare: A Call to Action for Hospitals and Workers

    Hospitals have protocols for everything: patient care, emergency response, infection control. But are we doing enough now to protect healthcare workers who care for us? With rising workplace violence, critical staff shortages, and burnout reaching alarming levels are pushing too many healthcare workers to their breaking point. A recent survey by National Nurses United found that 81.6% of nurses have experienced at least one type of workplace violence in the past year, with 45.5% reporting an increase. The Bureau of Labor Statistics confirms that healthcare workers are five times more likely to experience workplace violence than employees in any other industry, and 73% of all nonfatal workplace injuries due to violence occur in healthcare settings (Source). The question isn’t if something needs to change—it’s how fast can we fix it? In this episode of Innovation Obsessed, Robin Goldsmith (Global Lead for Connected Health and Innovation at Verizon Business, Healthcare and Life Sciences Practice) and Patrick Welsh (GM of the Americas at Oosto) discuss why violence against healthcare workers is increasing—and how technology is stepping in to fix it. They are joined by Shawn Fontenot, Oosto’s VP of Global Marketing, to explore the healthcare safety crisis and the potential for positive change. A Dangerous New Normal For many healthcare workers, violence isn’t just a rare occurrence—it’s become an expected risk of their jobs. Patrick shared a troubling story from his sister, who works in nurse recruitment, “When I talk to my sister and different nurses, I’m starting to see something I haven’t seen in 10 years. They accept that getting assaulted may be part of the job. That’s completely unacceptable.” He adds, “The more that I talk to people in the healthcare space, the more alarming certain aspects of the healthcare space became to me.” This mindset, where violence is seen as an unavoidable part of the job, highlights the urgent need for better protections for healthcare workers. For Robin, this issue is personal, “I was 18, alone in a hospital for three weeks, and the nurses were my lifeline. That experience gave me a deep respect for healthcare workers—and a passion for ensuring they feel safe.” A Crisis That’s Only Getting Worse Violence in healthcare isn’t new. It's rapidly escalating. A World Health Organization report estimates that 8% to 38% of healthcare workers experience physical violence at some point in their careers, with many more facing verbal threats and aggression (Source). While violence is rising across industries, healthcare workers face a heightened risk—they’re on the frontlines, caring for people at their most vulnerable, stressed, or volatile moments. Robin explains why the stakes are even higher, “We’ve never seen this level of workplace violence before, and healthcare is not unique. We’re seeing it across the board in almost every industry.” Even in this crisis, there are real opportunities for positive change. These challenges serve as a call to action, spurring practical innovations that lead to a safer and more sustainable healthcare environment. The Ripple Effect: Violence, Burnout, and Staffing Shortages Workplace violence not only harms healthcare workers, it drives them out of the profession. 6 in 10 RNs report that workplace violence has caused them to leave, change jobs, or consider leaving the profession (Source). A Mercer report estimates that the U.S. will face a shortage of 100,000 nurses by 2028 (Source). 88% of nurses believe that staffing shortages are hurting patient care (Sources). Hospitals can’t afford to let violence push away the very people who make patient care possible. Robin succinctly captures the crisis: "They got into this to help people. It wasn’t in their job description to put up with this. And I don’t think many people realize how bad the shortage is—it’s daunting.” Despite the challenges, he remains hopeful: "I think we have to be optimistic because there's a lot of incredibly passionate people in this space that want to make a difference. Having the opportunity to speak to them makes me optimistic for the future." With violence on the rise and fewer nurses entering the profession, the healthcare system is at a breaking point. But with leaders, innovators, and frontline workers pushing for change, there’s abundant reason to believe in a safer future. How Innovation is Enhancing Safety While workplace violence is a growing crisis, hospitals have the technology to make a real difference. Yet, many are slow to adopt solutions that other industries already trust and rely on. Patrick pointed out that hospitals should take a page from casinos, which invest in proactive security, “Hospitals are open 24/7, just like casinos. You’ve got people in various emotional states—some on their best day, some on their worst. The difference? Casinos use AI to detect threats in real time, while hospitals are still playing catch-up.” Beyond security, technology can streamline workflow efficiency. Take hands-free access control—a doctor scrubbed in for surgery shouldn’t have to fumble for a badge and risk breaking sterility just to enter a secure area. Facial recognition and smart authentication provide seamless, secure access without interruption. 5G connectivity enhances these innovations, enabling real-time AI security, predictive analytics, and seamless hospital-wide monitoring. Faster, more reliable networks mean smarter protection and safer environments for staff and patients. The tools exist. The challenge is adapting them to healthcare’s needs before more staff walk out the door. Predictive Analytics: Stopping Violence Before It Starts Hospitals already use predictive analytics to monitor patient health. So why not apply the same approach to prevent workplace violence? AI-driven security isn’t just a concept, it’s already making an impact in hospitals today. Patrick emphasizes the impact, “The algorithms we’ve deployed are already helping hospitals today—detecting falls, preventing unauthorized access, even recognizing patterns of behavior that indicate security risks. This isn’t the future—it’s happening now.” It’s time to shift from crisis response to proactive protection.By leveraging predictive analytics, hospitals aren’t just reacting to violence, they’re preventing it. Why There’s Reason for Optimism Despite the challenges, there’s reason to be hopeful. During the podcast, Shawn highlighted this, “Robin, you did something audacious on a recent podcast—you talked about optimism in healthcare. And I love that. Because even with all these challenges, there are incredible innovations happening.” Robin echoed this sentiment, “We have to be optimistic. The pandemic forced us to innovate faster than ever before. Now, we know what’s possible. And we know that healthcare professionals want change—they’re looking for solutions.” A Call to Action for Healthcare Leaders Security investments aren’t just about safety—they also make business sense. Hospitals with strong security measures retain staff longer. Safer environments lead to higher patient satisfaction scores. Proactive protection reduces costly lawsuits and liability risks. Robin states, “It only takes one really bad incident to ruin a hospital’s reputation and to impact your bottom line. And in health care, that's life and death. Not only if your network goes down, your critical systems go down and you have to go back to paper.” Patrick adds, “Nobody wants to work in an unsafe environment. That’s causing worse patient experiences, which leads to poor scores, which affects reimbursement. Administrations aren’t connecting the dots—violence is a business problem, too.” The healthcare industry can’t afford to wait. As Patrick put it, “Protection needs to be as much a priority as patient care—because without safe caregivers, there is no care.” The statistics are stark. The challenges are immense. Our healthcare workers are facing a crisis. But with innovative technology and a collective commitment, we can create a safer, more supportive environment. We must prioritize their safety and well-being—because without them, patient care collapses.

  6. 01/23/2025

    Safe, Not Scared: Rethinking School Security

    Most school security is built to react—lock the doors, sound the alarm, initiate lockdown. But once those measures are activated, the crisis is already unfolding, and the impact on students, teachers, parents, and staff is already in motion. A third-grade teacher once asked Adam Coughran, “I appreciate the training, but I can’t tell my students anything you just told me. How do I explain safety without scaring them?” That question stuck with him. Now, as President of SafeKids Inc., Adam draws on more than two decades of law enforcement experience—including counterterrorism, active shooter response, and school security—to help education institutions create age-appropriate safety programs that prepare without panic. When Adam was the first officer to respond to a violent incident at a middle school, the students and teachers had practiced lockdowns, but only inside classrooms. When the violence started in the cafeteria, they didn’t know what to do. ‘It occurred to me very quickly,’ Adam says, ‘that they had never talked about or practiced what to do if they weren’t in a classroom, where they could lock their door and hide in a dark corner.’ In this episode, Matt Plantier and Patrick Welsh from Oosto join Adam Coughran to explore how schools can build safety and security strategies that actually work all the time, everywhere. Navigating School Security Challenges and Violence Prevention Schools face a complex challenge: how to create a safe environment without introducing fear or disruption. From the psychological toll of lockdown drills to rising violence, funding constraints, and fragmented communication, security concerns extend far beyond panic alarms and metal detectors. The Psychological Toll of Lockdowns Lockdown drills are meant to prepare students, but they often do the opposite, increase stress. In fact, 27% of students report heightened anxiety after these drills (Source). In this episode, we explore “the balancing act”—how schools can implement safety measures without creating unnecessary fear. One high school junior put it bluntly: “First responders choose their job knowing they might not make it home. We don’t get a choice. We have to go to school.” Her parents share that fear. And it’s not just drills—security measures like metal detectors also take a psychological toll. In Broward County, students recognize the need for safety, but many say they feel more like suspects than students. For those already struggling with existing mental health issues, such as anxiety or social stress, these measures can make things worse (Source). Rising Violence and Behavior Shifts After the pandemic, many schools saw a spike in physical fights and aggressive behavior. Adam notes: “Students lost the ability to talk things out. Instead of working through conflicts, they go straight to violence.” As of 2022, U.S. public schools recorded 857,500 violent incidents, with 67% of schools reporting at least one violent incident (source). This shift in behavior led to a bigger question: “How can we do things differently to prevent violence before it escalates?” Adam and Patrick discuss both behavioral strategies and how technology can help detect and stop conflicts before they spiral out of control. Funding Constraints Funding is always a challenge. Schools have to decide: Where does the money go—mental health programs, more security staff, or better technology? But not all safety solutions require massive budgets. Adam points out that visitor management technology—like replacing clipboards with digital check-ins that flag custody concerns, restraining orders, and sexual predators—is a cost-effective way to strengthen security. ‘Known threats don’t go to the front door,’ Patrick adds, reinforcing the need for better tracking of who is coming on campus. From Intelligence to Action: Closing Security Gaps One of the biggest challenges in security isn’t just identifying threats—it’s making sure the right people have the information they need, when they need it. Schools and businesses often rely on fragmented communication—where critical details can get lost between departments, across campuses, or even just from one shift to the next. As of 2022, 93% of public schools use security cameras to monitor their campus, up significantly from 61% of public schools in 2010 (source). Patrick says, “the ability to make it actionable is what a lot of places lack, not just schools, a lot of corporations”. Adding why he thinks context matters, “ the ability for HR to say this person was let go, they have an ax to grind, their exit interview didn't go well. That's information that a security professional, that's context that could save lives, right? So they show up in a parking garage, they're bringing a bag out that's not in the shape of a laptop. They don't have a laptop to return, that four-minute difference from the parking garage to the door could save lives.” This gap in communication can happen in any school, no matter the size: If a teacher or security officer is out sick, does their replacement know about an ongoing concern? If a parent has a custody or restraining order, does the front office and after-school staff have that information? If a student is expelled for violent behavior, does another school in the district get notified if they trespass? If local police have flagged a potential threat, is the school aware before that person steps on campus? Security works best when technology and trained individuals work together to act on real-time intelligence before threats escalate. This principle extends beyond schools to places of worship, transit hubs, and corporate environments—where early detection and real-time intelligence prevent tragedies. Schools that integrate technology with human decision-making create a layered security approach that stops threats before they escalate. More Distance, More Time, More Options Security professionals often talk about “standoff distance”— the idea that the earlier you can detect a threat, the more time you have to respond. That distance can be the sole difference between a controlled situation and a crisis. Adam highlights why distance is a school’s greatest advantage, “If the first point of contact is a front office secretary, it’s already too late. Schools need to expand their detection zones—to parking lots and perimeters. Distance is your friend. The more distance you create, the more time you have to react.” Patrick explains how technology is evolving to extend this reaction time, “Schools are moving away from costly, on-premises hardware to edge-based solutions that provide the same accuracy but with less infrastructure. These AI-driven early warning systems push detections further out, allowing for more cameras to have the intelligence enabled and faster response times.” What Schools Can Learn from Other Industries Schools often grapple with how to enhance security without disrupting the sense of normalcy that fosters learning and community. In many ways, they can take inspiration from other industries. Adam challenges the idea that security has to ‘look’ a certain way. ‘When you check into a hotel, you don’t go through metal detectors or see armed guards at every door, but you still feel safe.’ Patrick reinforces this, “Parents think big fences and metal detectors equal safety, but real security is about preventing threats before they reach the classroom—without making schools feel like prisons.” Schools can take the same approach—using discreet layers of protection, from AI monitoring to early detection systems, to keeping students safe without compromising the welcoming environment essential for learning. The Way Forward: A Multifaceted Approach Overall, this episode focuses on the fact that effective school security isn’t just about lockdown drills or technology—it’s about blending training, intelligence, and mental health support. Adam puts it simply: “It’s not about choosing between lockdown drills or technology or mental health programs. It’s about integrating all of these elements in a way that makes sense for each school’s unique environment.” He also warns against relying solely on drills: ‘If you only learn math by taking tests, you’re going to fail a lot of tests. That’s how most schools approach safety—by only running lockdown drills without teaching students and staff how to respond in different scenarios.’ With AI-driven solutions like early threat detection, mobile monitoring for buses, and intelligent visitor management, schools can move toward a security model that is proactive, effective, and invisible—keeping students safe without creating a sense of fear. “People are the common denominator,” Patrick says. “We can use technology to enhance safety, but at the end of the day, it’s about empowering the right people with the right information at the right time.” Listen Now: oosto.com/podcast

About

A podcast by Oosto.