Recommended Event: Are you the MVP of cybersecurity? Maryland, US, June 1-3, 2026

Defender Purple 2026: Drone Special Edition

Type Training
Organization Focal Point
Event Format Online
Size 51 - 100 approximate delegates
Registration Not Free

Search for other Cybersecurity Conferences in Belgium in 2026-2027.

Training Description

The Drone Readiness Program addresses the urgent need for advanced security in the rapidly evolving drone landscape. With over 7,000 malicious drone incidents recorded globally in 2025 and frequent airport sightings, organizations face a growing attack surface that demands specialized defense strategies. As drones become integral to sectors such as utilities, telecommunications, and logistics, the importance of robust security measures has never been greater.

Program Overview and Objectives

The Drone Readiness Program is designed to equip security teams with the expertise required to defend against emerging drone-based threats. Participants engage in live cyber range exercises, simulating real-world UAV environments and operational scenarios. The training emphasizes practical skills, enabling teams to operate, monitor, and secure complex networks where drones and operational technology intersect.

Each session is structured around authentic drone security incidents, ensuring that participants develop the ability to detect threats swiftly, respond effectively, and enhance organizational security from the outset. The program’s primary aim is to transform participants into operationally ready defenders, capable of handling high-pressure, adversary-driven situations with confidence.

Core Training Domains

  • Detection: Multi-modal techniques including RF passive detection, radar micro-Doppler analysis, signal classification, and automated detection pipelines.
  • Firmware Analysis: DJI firmware extraction, modification detection, ArduPilot parameter auditing, and reverse engineering.
  • Forensics: Flight log reconstruction, mission profile recovery, evidence preservation, and chain of custody practices.
  • GCS and Network Security: MAVLink protocol protection, message signing, traffic monitoring, ground control station hardening, and 5G command-and-control vulnerabilities.
  • Counter-UAS Capabilities: Failsafe behavior, jamming and spoofing effects, and predicting drone responses under interference.
  • SOC and Incident Response: Detection engineering, SIEM-based threat hunting, alert correlation, and incident response playbook development.

Training Journey and Methodology

The program follows a structured path, beginning with onboarding and foundational concepts in drone and network security. Participants progress through advanced operational scenarios, including APT campaigns on drone infrastructure, firmware analysis, digital forensics, and live-fire purple team exercises. This approach mirrors advanced cyber exercises trusted by leading security operations centers, ensuring measurable operational readiness.

By the end of the training, participants will be able to identify and respond to drone-based threats across multiple attack surfaces. They will leave with practical outputs such as detection rules, monitoring capabilities, forensic methodologies, and structured response frameworks tailored to drone security.

Prerequisites and Target Audience

A foundational understanding of networking and familiarity with security tools or environments is recommended. Experience with Windows or Linux command line will be beneficial for participants. The program is ideal for security professionals seeking to expand their expertise into drone and UAV security, including those in SOC operations, incident response, and broader cybersecurity roles.

Expert Trainers

The program is developed and delivered by instructors with over a decade of hands-on experience in penetration testing, incident response, adversary emulation, and detection engineering. These trainers have built and operated cyber ranges, led Red vs. Blue team exercises, and contributed to threat intelligence and vulnerability research in real-world environments.