How Technology Shapes Security Solutions

Law enforcement faces a critical choice: embrace AI and data science to improve public safety outcomes or risk saving fewer lives. Think about this: A gunshot rings out at 2:00 AM. The traditional process relies on someone hearing it, deciding to call 911, and trying to describe the location from inside their apartment without the benefit of being able to visually confirm the location. (That's assuming they call in the first place—as 80-90% of gunfire goes unreported.) Now imagine an AI-powered response with an audio-recording snippet of the incident. The digital process gives instant detection and the precise location of the gunshot. Officers can now respond minutes faster to the precise location versus driving around the neighborhood in circles. This isn’t science fiction - it's happening today. These AI-powered technologies transform police response and, as a result, save lives and capture and preserve evidence, which is critical in improving case closure rates. AI isn't replacing officers or human judgment either. AI prioritizes the effective use of limited resources where they need to be. Police departments struggling with staff shortages of 15-30% have a golden opportunity to alleviate some of this burden by leveraging AI. It's clear that AI and data science are transforming law enforcement’s ability to prevent crimes and protect communities. Be part of the solution and define the future of public safety. Give public safety leaders better tools to make faster, smarter decisions that save lives.

The future of video surveillance is rapidly evolving, driven by technological advancements and evolving security needs. Here are the key trends shaping security solutions: - **AI & Machine Learning Integration**: AI analyzes video feeds in real-time to detect suspicious activities and enhance access control through facial recognition. - **Cloud-Based Surveillance**: Cloud platforms offer scalable storage, enabling remote access, and real-time collaboration for video footage. - **Edge Computing for Faster Response**: Local data processing reduces latency, speeding up threat detection in surveillance systems. - **Smart Cities & IoT Integration**: Surveillance systems integrate with smart city ecosystems, enhancing situational awareness using IoT devices. - **Mobile Surveillance**: Mobile units like trailers and drones provide flexibility and can be deployed in remote locations for enhanced monitoring. - **Cybersecurity & Data Protection**: End-to-end encryption and SIEM systems ensure data security and monitor surveillance infrastructure. - **Video Guarding & Remote Monitoring**: AI-driven video guarding with real-time alerts enables efficient monitoring with minimal personnel. - **Integration with Other Security Systems**: Surveillance systems seamlessly integrate with access control, alarms, and intrusion systems for comprehensive security management. - **Predictive & Preventative Security**: AI-powered analytics predict crimes, enabling proactive threat detection and response. - **Data & Video Analytics**: Automated reporting and crime mapping offer actionable insights for informed decision-making. AI, cloud platforms, IoT, and edge computing are revolutionizing security solutions, enhancing efficiency and intelligence. Video guarding, predictive analytics, and seamless system integration are driving faster responses and proactive security measures.

The concept of "driving safely" is undergoing a profound transformation. It's no longer just about needing to pay close attention when driving in the rain; it's about securing the very digital backbone of our transportation infrastructure. Our roadways have evolved into complex, hyper-connected networks of smart signals, cameras, and thousands of IoT devices. While this innovation is powerful, it creates an expanded attack surface where a single sophisticated attack could bring a city to a standstill. This is precisely the type of modern security challenge that requires a fundamental shift away from fragmented point products to a unified, platform-centric approach. The Georgia Department of Transportation (GDOT) provides a powerful blueprint for success. By deploying the Palo Alto Networks Network Security platform to protect over 8,000 edge network devices, they are not just implementing cybersecurity; they are ensuring public safety and the operational continuity of critical infrastructure. Securing complex IoT and edge environments is a challenge that can only be solved with a platform that provides: 👉 Comprehensive Visibility: Seeing every connected device across the entire network. 👉 Zero Trust Enforcement: Ensuring that no device is trusted by default, drastically reducing the attack surface. 👉 AI-Driven Threat Prevention: Stopping threats at scale and speed, before they can disrupt operations. The future of our critical infrastructure is intelligent and connected. We are dedicated to providing the security foundation that allows our communities to innovate bravely and keep their citizens safe. https://lnkd.in/g-fnwYxw 

I’m on another plane, this time leaving Jacksonville, FL, thinking about how Open-Source Intelligence (OSINT), when combined with the right language processing and event extraction, creates enormous financial and operational value for businesses and governments. The fusion of OSINT, Natural Language Processing (NLP), and event extraction is becoming critical to protecting organizational interests. Here are a few ways these technologies are shaping security strategies: OSINT for Strategic Decision-Making OSINT provides a wealth of publicly available information that is crucial for both tactical and strategic decisions. For businesses, understanding security and geopolitical trends, shifts in local stability, and emerging threats via social media, news, and forums is invaluable. However, with so many sources, filtering out the noise, verifying authenticity, and pinpointing where the most relevant chatter occurs is essential. Miss the data, and you’ll likely be late to the party. NLP Enhancing Threat Detection NLP enables the processing of vast amounts of textual data to detect threats or sentiments that might not be immediately apparent. In security, NLP is used to analyze chat forums, social media, and news articles to identify potential risks to people, assets, and operations. While there will always be an error rate, relying solely on manual processes would result in significantly greater delays and inaccuracies. Effective threat detection requires both machines and humans working together. Event Extraction for Timely Response Extracting events early from news, social media, and other platforms allows organizations to respond quickly to incidents that could impact their operations or reputation—getting ahead of the worst challenges. Speed in decision-making and action is essential for mitigating life safety risks and financial losses. As we move through 2025, integrating these technologies isn’t just about gathering data—it’s about transforming it into actionable intelligence. This convergence is key to taking preemptive action against physical, operational, and reputational threats. In a world where information is both protection and a weapon, staying ahead is the only option. Drop a comment on how you’re using advanced AI models, NLP, and OSINT in your workflow. Understanding your challenges helps us build to your gaps and requirements at Seerist. #OSINT #NLP #EventExtraction #SecurityStrategy #AI #Seerist

𝐃𝐫𝐨𝐧𝐞𝐬 𝐚𝐬 𝐅𝐢𝐫𝐬𝐭 𝐑𝐞𝐬𝐩𝐨𝐧𝐝𝐞𝐫𝐬 & 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐈𝐏 𝐕𝐢𝐝𝐞𝐨 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 - 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐄𝐦𝐞𝐫𝐠𝐞𝐧𝐜𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐞 𝐓𝐡𝐫𝐨𝐮𝐠𝐡 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 The integration of drones as first responders (#DFR), combined with cutting-edge Internet Protocol (IP) video technology, marks a new era in #publicsafety. This LiveU approach empowers #lawenforcement and #emergencyservices with real-time #situationalawareness, faster response times, and enhanced officer and public safety. - DFR: A Strategic Advantage By deploying Unmanned Aerial Systems (UAS) ahead of ground teams—especially during large-scale events or active incidents—agencies gain critical visual intelligence before arriving on scene. A key milestone is enabling Beyond Visual Line of Sight (BVLOS) operations, allowing drones to cover greater distances and deliver what can be called “quantum situational awareness.” LiveU's flagship IP bonded field encoder for Public Safety and #tactical teams is ready to go - simply plug in your video source (drone, security #camera, or crewed/uncrewed vehicle/ HH camera etc), and start transmitting real-time, secure and reliable video into your selected destination - anywhere at anytime Benefits include: - Rapid location of suspects or missing persons - Advanced scene assessment before human arrival - Reduced risk to officers - Smarter allocation of resources Enhancing Surveillance with LiveU IP Video & LiveU Technology is significantly more effective when monitored in real time. According to the UK College of Policing, actively monitored systems are 15% more effective at reducing crime compared to passive systems. By leveraging LiveU's secure IP video transmission platform: - Real-time crime centers and dispatch units gain precise, high-quality video streams - Field personnel receive live intelligence with low-latency and high-reliability, even in challenging environments. Situational awareness becomes immediate and actionable. Key Enablers for Successful Integration To fully realize the benefits of DFR and IP video streaming, agencies must: - Educate the Public: Build trust through transparency and responsible data use - Advocate for Policy Reform: Enable legal pathways for BVLOS and IP-based surveillance - Invest in #Training: Equip personnel to operate and interpret data while respecting privacy The Road Ahead Over the next decade, cities are expected to deploy drone “nests” on rooftops of fire stations and public buildings, creating a responsive, city-wide aerial network. But success will depend on forward-thinking leadership that embraces innovation, invests in emerging technologies like AI and quantum analytics, and fosters a culture of adaptability. - Visionary public safety leaders must stay several steps ahead—not just one—to safeguard communities in a fast-changing world. CBRNE & CT ATLANTIC BRIDGE (CAB) FIFA World Cup 26™ New York New Jersey #uas #drones #firtresponder #cbrn #cbrne

Researchers have developed a Drone Surveillance System (DSS) that uses a ScatterNet Hybrid Deep Learning Network to monitor and identify violent movements. In simpler terms, this means the drone is equipped with artificial intelligence that can recognize patterns associated with aggression or violence by analyzing live video feeds. How Does It Work? - Real Time Monitoring: The drone continuously scans its surroundings, capturing live video footage. - AI Analysis: The onboard AI processes the video to detect specific movements or actions that are indicative of violent behavior. - Accuracy Rates: The system boasts a 94% accuracy rate when observing a single individual. However, accuracy drops to 79% when monitoring a group of ten people, highlighting challenges in crowded environments. Potential Benefits: - Enhanced Public Safety: Quick identification of violent incidents could allow for faster response times from law enforcement or security personnel. - Deterrence: The presence of surveillance drones may deter potential wrongdoers from engaging in violent acts. - Resource Efficiency: Automated monitoring could supplement human efforts, covering larger areas without the need for extensive manpower. AI systems can inadvertently carry biases based on the data they were trained on, potentially leading to disproportionate targeting of certain groups, therefore such applications of AI have to be heavily regulated. While the technology holds promise for improving public safety, it's essential to address the accompanying ethical and legal challenges. Implementing strict guidelines and oversight can help ensure that the technology is used responsibly. Is the deployment of AI-powered surveillance drones a positive step towards safer communities, or does it pose too great a risk to personal privacy? #innovation #technology #future #management #startups

The traditional approach to accident scene documentation has long been bottlenecked by specialist requirements. For decades, the creation of court-admissible diagrams required accident reconstructionists with specialized training in measurement techniques and complex CAD-based software. This dependency created significant bottlenecks when the specialist is unavailable — extended road closure times, delayed reports, and inconsistent documentation to name a few. How are we changing this paradigm? By capturing accident scenes through drone or cell phone footage, departments can now generate precise 3D models with integrated measurement capabilities in minutes rather than hours. The technology automatically produces 2D ortho maps and simplified sketch views that meet evidentiary standards for court proceedings. Our technology standardizes what was previously a specialist function. Any operator can now capture comprehensive scene data that automatically generates scaled, accurate documentation. The resulting workflow eliminates the measurement and diagramming bottlenecks that have historically delayed accident reporting and investigation processes. And the implications extend beyond efficiency gains. Reduced road closure times enhance public safety by minimizing secondary collision risks. Officer safety improves through decreased exposure to traffic hazards. Documentation quality becomes standardized across departments rather than varying with individual specialist skills. Over 1,000 public safety agencies have implemented this approach, recognizing how technology can enhance documentation quality while dramatically reducing the resource burden of accident scene processing. The evolution towards SkyeBrowse means less traffic, more productivity, and ultimately, cost savings for the city as a whole. As departments continue facing staffing challenges and increasing service demands, technological solutions that maintain quality while reducing specialist dependencies will become increasingly essential to effective operations. #PublicSafety #AccidentDocumentation #InvestigativeTechnology #LawEnforcement #CourtAdmissible

How about a viable AI use case that positively impacts public safety? We've recently introduced our latest Harmony AI feature, designed to automate alarm calls to 911 Centers. Here is the problem (or safety gap) it aims to solve: => Today, 20-30% of calls to 911 come from alarm companies. => 98%+ of these alarms are FALSE (not a typo). => 911 centers have staffing shortages of ~30% on average. => Alarm calls can be put on hold when shortages are severe. => These calls are projected to grow to > 50% by 2027. One could argue that the status quo isn’t sustainable. What we aim to solve: The standard operating procedures for handling alarm calls are fairly structured. To streamline this process, we leverage AI to answer these calls, gather relevant information, and then summarize and package it into a digital alert that is processed without needing 911 telecommunicator involvement. Early results are encouraging: => 50-80% of alarm calls can be processed automatically. => This means 10-24% of all calls are processed automatically. => Freeing up critical capacity for overworked and understaffed centers. => While also eliminating hold times when present. Multiple fail-safes are included to ensure the 911 telecommunicator is still in control. For example, the technology is only used on alarm calls, not 911 emergency calls. The ECC can tailor the technology to its protocols. The AI repeats information for alarm operator confirmation, and the telecommunicator can listen to recorded answers as needed. Why should you care? I believe we would rather have 911 telecommunicators focus on emergency calls from our family, friends, and colleagues than be distracted by alarm calls that are often FALSE. The safety and security technologies we rely on, personally and professionally, aren't truly 'intelligent' when identifying verified emergencies. This can lead to unintended consequences and a false sense of security. Without a better solution, the situation will only get worse in the coming years, putting more pressure on an already constrained and under-appreciated public safety network. We believe that by combining artificial and human intelligence, we make the heroes who work every day to keep us safe superheroes. The job isn’t done, as the downstream implications of false alarms on those who respond to the calls are still a problem. But one step at a time. Check out the first comment to learn more.

Drone as a First Responder (DFR) isn’t just another tool—it’s a game changer. With agencies nationwide starting to see the benefits, we’re moving from concept to a critical #forcemultiplier in #publicsafety. But not all #DFR solutions are created equal, so let’s unpack why. 1. Equipment: Over 90% of U.S. public safety agencies use DJI #drones, making it an obvious choice to leverage existing #tech. But due to current regulations and concerns, some agencies are pushed toward other options—often at the expense of seamless integration. 2. Software: On the surface, most DFR software platforms look pretty similar: plug in an address, press ‘go,’ and watch the drone do its thing. But a key factor is the difference between radio-based vs. cellular-based systems. 3. Connectivity: Radio-based systems can limit the operating range unless you’re ready to invest in multiple launch sites. With LTE-based systems agencies can expand their reach while staying efficient. In my opinion, a cellular-based solution is the obvious choice. Before we jump into a real-world use case, here’s a quick note: just because your department already uses a big-name public safety tech provider doesn’t mean you can’t explore other solutions. Case in point: Our pilots received a Flock Safety stolen vehicle alert and deployed our Paladin DFR air unit. Within seconds, they located the vehicle and provided ground units with live updates on its direction. The aerial support continued seamlessly throughout a multi-mile pursuit across the city. This real-time coverage and flexibility is exactly why we chose a cellular-based DFR system—making results like this the rule, not the exception. T-Mobile #police #lawenforcement #dronesforgood #techforgood #innovationNOTlegislation #DronesAtWork

Cybersecurity is one of the biggest challenges for governments and can have significant implications for overall security on citizens data, public safety and the integrity of government operations. Here are some of the solutions the governments are focussed on with the public-private partneships. -Investment in Modern Technology - Upgrading legacy systems and investing in cutting-edge cybersecurity technologies will help close vulnerabilities. This includes adopting cloud services with strong security measures. -Cyber Incident Response Plans - Establishing and regularly updating incident response plans will ensure quick and effective actions are taken during a cyber incident. -Advanced Threat Detection Tools - Employing AI and machine learning tools will enhance the ability to detect and respond to threats in real-time. -Data Encryption and Access Controls - Implementing strong encryption methods and strict access controls for sensitive data will help prevent unauthorized access. By implementing these measures with proactive and strategic solutions in public-peivate partnerships, governments can enhance their cybersecurity posture and better protect their systems, data, and citizens. Open for thoughts..