{"id":5101,"date":"2025-06-26T14:40:52","date_gmt":"2025-06-26T06:40:52","guid":{"rendered":"https:\/\/wp-productionenv-bjg9h2g2bgg5b8aa.southeastasia-01.azurewebsites.net\/news\/maxar-introduces-sentry-the-advanced-global-monitoring-suite-for-real-time-intelligence\/"},"modified":"2025-06-26T14:40:52","modified_gmt":"2025-06-26T06:40:52","slug":"maxar-introduces-sentry-the-advanced-global-monitoring-suite-for-real-time-intelligence","status":"publish","type":"post","link":"https:\/\/starpath.global\/news\/maxar-introduces-sentry-the-advanced-global-monitoring-suite-for-real-time-intelligence\/","title":{"rendered":"Maxar Introduces Sentry the Advanced Global Monitoring Suite for Real-Time Intelligence"},"content":{"rendered":"

\"Maxar<\/p>\n

Maxar Intelligence<\/strong>, the leading provider of secure, precise geospatial insights, announced the launch of Sentry<\/strong>, a first-of-its-kind persistent monitoring solution that delivers strategic operational and threat intelligence at a global scale for a real-time decision advantage.<\/p>\n

Sentry integrates AI-powered capabilities unique to Maxar, including multi-source constellation orchestration, geospatial fusion, and advanced machine learning models for automated analytics to deliver a new level of closed-loop spatial intelligence. It is specifically designed to monitor hundreds of areas around the world to solve complex problems such as anticipating adversarial threats or protecting industrial infrastructure.<\/p>\n

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Also Read: Commercial Satellite Imagery: Quality Characteristics Guide<\/h4>\n<\/div>\n

The Sentry suite includes two products designed for specific mission sets:<\/p>\n

    \n
  • Site Sentry<\/strong>, a product for monitoring places of interest across land and sea, such as shipyards, airports, urban centers, and more.<\/li>\n
  • Maritime Sentry<\/strong>, a broad area monitoring product for tracking vessel activity at sea and in port, enabling customers to actively monitor thousands of sq km of ocean at once.<\/li>\n<\/ul>\n

    Both Sentry products draw on Maxar\u2019s 250+ petabyte archive of very high-resolution satellite imagery collected over more than two decades. This unrivaled geospatial foundation provides training data for advanced AI\/ML computer vision models that contain a detailed understanding of historical activity and global patterns across the world.<\/p>\n

    \u201cFor many of our customers, it\u2019s no longer enough to be able to deliver persistent monitoring of only one or two sites or limited geographies, the world is changing too fast, and they need to be able to identify mission-critical activity before it happens, anywhere in the world,\u201d said <\/strong>Dan Smoot<\/strong>, CEO of Maxar Intelligence<\/strong>. \u201cFor the first time, Sentry makes it possible to use the full potential of space to deliver predictive intelligence at a global scale. Sentry uses AI and ML to drive automation across the entire sensor-to-decision system, unlocking sensor integration at a scale that hasn\u2019t been done before.\u201d<\/p>\n

    \u201cIt\u2019s a game changer for our customer that unlocks a new level of decision superiority, be it to identify an imminent satellite launch before it happens or to estimate potential threats to energy infrastructure following a natural disaster,\u201d continued Smoot.<\/p>\n

    Sentry is built around three core automation-powered technologies:<\/p>\n

      \n
    • Tasking:<\/strong> Maxar\u2019s proprietary collection orchestration software automatically integrates feasibility and tasking scheduling processes across commercial and sovereign satellite constellations, including electro-optical and synthetic aperture radar (SAR) satellites, dramatically increasing the number of sites that can be monitored simultaneously.<\/li>\n
    • Production:<\/strong> Maxar\u2019s automated geospatial production and fusion capabilities transform the data collected from various sensors into a dynamic representation of the globe that is fully co-registered and prepared for analysis at scale.<\/li>\n
    • Analytics:<\/strong> Maxar utilizes object detection models as well as third-party systems to identify signals about mission-relevant activity and patterns. These insights can then be delivered directly to the analyst or decision-maker through Maxar\u2019s Insights UI app or to a customer\u2019s secure environment via API.<\/li>\n<\/ul>\n

      Sentry: Delivering proven capability for the world\u2019s toughest missions<\/strong><\/p>\n

      Several of the technologies used to build Sentry were successfully demonstrated in existing programs supporting U.S. intelligence and defense missions. For example, as part of its execution on the National Geospatial-Intelligence Agency\u2019s (NGA) Luno A D01 task order, Maxar used geospatial fusion and analytics technologies to deliver AI\/ML-generated object detections across numerous specified locations within hours of image acquisition. These capabilities enabled rapid identification of aircraft, ships, vehicles, and railcars, object counts, and classification, laying the groundwork for identifying trends and anomalies. This work also directly informed the development of Sentry.<\/p>\n

      \n

      Related Links<\/h4>\n
        \n
      • <\/i>Maxar Intelligence: Pioneering Satellite Imagery and Geospatial Innovation<\/li>\n
      • <\/i>Maxar Space Systems to Build EchoStar XXVI High-Power GEO Satellite Platform<\/li>\n<\/ul>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

        Maxar Intelligence, the leading provider of secure, precise geospatial insights, announced the launch of Sentry, a first-of-its-kind persistent monitoring solution that delivers strategic operational and threat intelligence at a global scale for a real-time decision advantage. Sentry integrates AI-powered capabilities unique to Maxar, including multi-source constellation orchestration, geospatial fusion, and advanced machine learning models for […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[2],"tags":[41,25,20,45],"class_list":["post-5101","post","type-post","status-publish","format-standard","hentry","category-news","tag-defense","tag-launch","tag-satellite","tag-sensors"],"acf":[],"_links":{"self":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/5101"}],"collection":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/comments?post=5101"}],"version-history":[{"count":0,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/5101\/revisions"}],"wp:attachment":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/media?parent=5101"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/categories?post=5101"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/tags?post=5101"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}