Session Highlights

• The Evolving Threat Landscape
  Derek opened by outlining the increasingly complex threat environment where space control, EW, cyber, and information operations converge. He described how adversaries are exploiting spectrum saturation, GPS manipulation, jamming, spoofing, disinformation, and supply-chain vulnerabilities—often by repurposing non-defence and commercial systems. He stressed the need for Defence and industry to anticipate these methods and adapt operational practices accordingly.

• AI and the Decision Advantage

  Using the Observe–Orient–Decide–Act (OODA) model, Derek explained how AI/ML can accelerate and refine decision cycles. He detailed how these technologies enable faster data analysis, anomaly detection, and effects modelling, supporting quicker and more confident decisions in dynamic operational environments. However, he emphasised that automation must remain governed by confidence thresholds, human oversight, and ethical guardrails to preserve accountability.

• Lessons from Contemporary Conflicts

  Derek referenced examples from Ukraine, Gaza, and the Indo-Pacific, highlighting how AI/ML is being applied to manage electronic interference, detect spoofing, and counter misinformation campaigns. He observed that AI’s effectiveness depends less on raw computational power and more on data discipline, explainability, and trustworthiness—critical for both offensive and defensive operations.

• Data Fusion and Trust Frameworks
  Expanding on the theme of trust, Derek underscored the importance of data fusion—integrating RF, optical, acoustic, and cyber sensors to form a coherent operational picture. He noted that transparent versioning, traceability, and explainable decisions are vital to responsible AI adoption, referencing established frameworks such as NIST’s AI Risk Management Framework (AI RMF), OWASP, and MITRE ATLAS as examples of good governance.

• Autonomous Agents and Edge Integration

  Introducing the concept of AI “agents”, Derek described how small, semi-autonomous software entities can retask sensors, allocate bandwidth, and respond dynamically to threats. By moving intelligence closer to the edge, these agents enhance responsiveness and resilience in EW and space operations while reducing latency and reliance on centralised systems.

• From Concept to Capability

  To conclude, Derek encouraged participants to adopt a hands-on approach to experimentation, sharing a step-by-step exercise for setting up AI/ML environments using open-source tools and satellite data. He highlighted the importance of containerised and secure environments to ensure data integrity and safeguard sensitive information. His closing message reinforced that operational advantage lies not simply in adopting AI, but in understanding, testing, and governing it effectively.