Preserving capacity, General Tom Lawson, Chief of the Defence Staff, Keys to Canadian SAR
Issue link: http://vanguardcanada.uberflip.com/i/1534716
Act: In the final stage, actions must be taken with speed, precision, and coordination. Whether intercepting a missile or deploy- ing directed energy weapons against drone swarms, defensive effects must be applied at the right time, on the right target. Real- time data deconflicts the target space, even when the engagement window – whether kinetic or non-kinetic – is narrow. Evolving the OODA Loop with RTI Connext RTI Connext® is a proven foundation in mission-critical systems like the U.S. Na- vy's Aegis Combat System. In joint and coalition operations, the ability to share and act on data in real time is not just ad- vantageous—it is essential. Connext makes that possible by delivering real-time, scal- able, and secure data infrastructure to support distributed, AI-enabled decision- making at mission speed. Defence leaders are no longer asking if they need to modernize their decision- making architecture; they're asking how fast they can get there. With RTI's sup- port, programs are: • Reducing system integration complexity • Achieving faster time-to-field • Supporting AI-driven autonomy with confidence As threats continue to evolve, success be- longs to those who observe first, orient fast- er, decide smarter, and act with precision. John Breitenbach is Director of Aerospace & Defense Markets for Real-Time Innova- tions. He has over 30 years of experience designing soware for intelligent machines. He's worked on industrial, medical, consumer and military products - everything from artificial hearts to autonomous vehicles to elevators. www.vanguardcanada.com APRIL/MAY 2025 25 P E R S P E C T I V E Sponsored Content Modernizing the OODA Loop F O R TO DAY 'S T H R E AT S T oday's battlefield is evolv- ing faster than our ability to respond. New technologies are emerging more quickly and with greater complex- ity. Recent conflicts show that low-cost, autonomous threats can overwhelm even advanced defensive systems through sheer mass and unpredictability. The goal is no longer just to evade defenses—it's to over- whelm them. The concept of the OODA Loop – Ob- serve, Orient, Decide, and Act – was de- veloped as a way to outpace adversaries by enabling faster, more effective decisions. Originally created for aerial combat sce- narios, the concept is now foundational across all military operations. As tech- nology evolves and the nature of conflict changes, so must our approach to deci- sion-making. In modern defence, data is the strategic asset that underpins every action. It con- nects sensors to shooters, decisions to outcomes, and commanders to the edge. But the value of data is only realized when it can be delivered and acted upon at ma- chine speed—especially in scenarios where response time is measured in seconds or milliseconds. To stay ahead, defensive systems must leverage real-time intelligence, AI-driven analytics, and automation to rapidly de- tect, assess, and neutralize threats. This shift requires moving beyond traditional, linear decision-making with humans in the loop, towards adaptive, automated re- sponses that adjust dynamically to evolv- ing battlefield conditions in real time. Evolving the OODA Loop for the Modern Battlespace To illustrate how the OODA Loop must adapt, let's explore each phase through the lens of today's threats and the critical role that real-time, intelligent data exchange must play. Observe: Observation is no longer about a single radar feed or camera—it's about integrat- ing data from a modular sensor network that can be tailored to the environment and threat landscape. Success requires an adaptable architecture that enables rapid sensor adjustment and removal of sensors to continuously upgrade capabilities. Orient: Once threats have been detected, speed is vital. Data from many different sensors is fused and analyzed instantaneously to provide a coherent understanding of the full operational picture. AI-driven battle management systems fuse sensor inputs, enabling defensive platforms to priori- tize threats based on trajectory, intent, available countermeasures, and magazine depth. Data from external sources such as Identification Friend or Foe (IFF), allied combat systems, and public data sources such as Automatic Dependent Surveil- lance–Broadcast (ADS-B) further enrich the common operational picture. Decide: On today's battlefield, decision timelines are shrinking rapidly and reaction times are measured in seconds. Once threats are identified, defensive systems must rapidly determine the best course of action. This requires developing and refining options in real time, triaging threats, and select- ing the most effective countermeasures. At lower threat volumes, humans may still remain "on the loop," choosing between AI-suggested options. As threat complexity and volume grow, decision-making will in- creasingly shift to AI and machine learning. These technologies are critical to reliably automate decisions so that countermea- sures are deployed instantly and effectively, even under overwhelming conditions. B Y J O H N B R E I T E N B A C H Director, Aerospace & Defence Markets, RTI

