DHS to End ‘Shoes-Off’ Travel Policy

  • Jul 09, 2025

Homeland Security Secretary Kristi Noem announced a new policy today which will allow passengers traveling through domestic airports to keep their shoes on while passing through security screening at TSA checkpoints.

The new policy will increase hospitality for travelers and streamline the TSA security checkpoint process, leading to lower wait times.

“Ending the ‘Shoes-Off’ policy is the latest effort DHS is implementing to modernize and enhance traveler experience across our nation’s airports,” said Secretary Noem. “We expect this change will drastically decrease passenger wait times at our TSA checkpoints, leading to a more pleasant and efficient passenger experience. As always, security remains our top priority. Thanks to our cutting-edge technological advancements and multi-layered security approach, we are confident we can implement this change while maintaining the highest security standards. This initiative is just one of many the Trump administration is pursuing to usher in the President’s vision for a new Golden Age of American travel.”

Other aspects of TSA’s layered security approach will still apply during the TSA checkpoint process. For example, passengers subject must still clear identity verification, Secure Flight vetting, and other processes.

Ending the “Shoes-Off” policy is the latest in a series of changes DHS has implemented since the Trump administration entered office. On July 2nd, TSA announced its “Serve with Honor, Travel with Ease” program which provides special benefits to uniformed service members and their families, including a TSA PreCheck enrollment discount and expedited access lanes at select airports. In May, TSA began implementation of REAL ID at airport checkpoints which has seen a 94 percent compliance rate which has led to a more efficient security process.

Featured

  • Report: 47 Percent of Security Service Providers Are Not Yet Using AI or Automation Tools

    Trackforce, a provider of security workforce management platforms, today announced the launch of its 2025 Physical Security Operations Benchmark Report, an industry-first study that benchmarks both private security service providers and corporate security teams side by side. Based on a survey of over 300 security professionals across the globe, the report provides a comprehensive look at the state of physical security operations. Read Now

    • Guard Services

  • Identity Governance at the Crossroads of Complexity and Scale

    Modern enterprises are grappling with an increasing number of identities, both human and machine, across an ever-growing number of systems. They must also deal with increased operational demands, including faster onboarding, more scalable models, and tighter security enforcement. Navigating these ever-growing challenges with speed and accuracy requires a new approach to identity governance that is built for the future enterprise. Read Now

  • Eagle Eye Networks Launches AI Camera Gun Detection

    Eagle Eye Networks, a provider of cloud video surveillance, recently introduced Eagle Eye Gun Detection, a new layer of protection for schools and businesses that works with existing security cameras and infrastructure. Eagle Eye Networks is the first to build gun detection into its platform. Read Now

  • Report: AI is Supercharging Old-School Cybercriminal Tactics

    AI isn’t just transforming how we work. It’s reshaping how cybercriminals attack, with threat actors exploiting AI to mass produce malicious code loaders, steal browser credentials and accelerate cloud attacks, according to a new report from Elastic. Read Now

  • Pragmatism, Productivity, and the Push for Accountability in 2025-2026

    Every year, the security industry debates whether artificial intelligence is a disruption, an enabler, or a distraction. By 2025, that conversation matured, where AI became a working dimension in physical identity and access management (PIAM) programs. Observations from 2025 highlight this turning point in AI’s role in access control and define how security leaders are being distinguished based on how they apply it. Read Now

Most   Popular

New Products

  • Camden CV-7600 High Security Card Readers

    Camden CV-7600 High Security Card Readers

    Camden Door Controls has relaunched its CV-7600 card readers in response to growing market demand for a more secure alternative to standard proximity credentials that can be easily cloned. CV-7600 readers support MIFARE DESFire EV1 & EV2 encryption technology credentials, making them virtually clone-proof and highly secure.

  • Luma x20

    Luma x20

    Snap One has announced its popular Luma x20 family of surveillance products now offers even greater security and privacy for home and business owners across the globe by giving them full control over integrators’ system access to view live and recorded video. According to Snap One Product Manager Derek Webb, the new “customer handoff” feature provides enhanced user control after initial installation, allowing the owners to have total privacy while also making it easy to reinstate integrator access when maintenance or assistance is required. This new feature is now available to all Luma x20 users globally. “The Luma x20 family of surveillance solutions provides excellent image and audio capture, and with the new customer handoff feature, it now offers absolute privacy for camera feeds and recordings,” Webb said. “With notifications and integrator access controlled through the powerful OvrC remote system management platform, it’s easy for integrators to give their clients full control of their footage and then to get temporary access from the client for any troubleshooting needs.”

  • QCS7230 System-on-Chip (SoC)

    QCS7230 System-on-Chip (SoC)

    The latest Qualcomm® Vision Intelligence Platform offers next-generation smart camera IoT solutions to improve safety and security across enterprises, cities and spaces. The Vision Intelligence Platform was expanded in March 2022 with the introduction of the QCS7230 System-on-Chip (SoC), which delivers superior artificial intelligence (AI) inferencing at the edge.