Crime costs Americans an estimated $2.6 trillion annually. Despite these high costs public safety teams nationwide struggle to deter crime because of persistent staffing shortages. To fill these gaps, communities are increasingly turning to autonomous security robots which are AI-powered machines that can patrol 24/7, provide data-driven insights, and real-time threat detection. These robots serve as “force multipliers” allowing security teams to focus on what really matters, rather than replacing human law enforcement professionals.
In this episode of Government Technology Insider podcast, host Luas Hunsicker spoke with William Li, Chairman and CEO of Knightscope; Jason Gonzalez, Senior Vice President of Client Development at Knightscope; and Tom Long, Associate Director of Federal Healthcare at Verizon. In the conversation they explore the growing impact of autonomous security robots and the role of connectivity in modern public safety. Despite limited funding and high cybersecurity demands, federal agencies are leveraging AI-driven machines to enhance situation awareness, address staffing shortages, and modernize legacy systems. As Li shared, “these are smart eyes, ears and voice on the ground for the officers and guards to be in multiple locations at the same time.’
Listen to Part 1 now and stay tuned for Part 2 which will be live tomorrow.