Risk, robustness and resilience for autonomous vehicles in military operations

Topic updates

22 October 2025
The call EDF-2025-RA-SI closed at 17.00 on 16 October 2025. 16 proposals were submitted for evaluation.

Risk, robustness and resilience for autonomous vehicles in military operations

TOPIC ID: EDF-2025-LS-RA-SI-CYBER-3RAV-STEP

Type of grant: Call for proposals

General information

Programme:

Call: Spin-in EDF research actions implemented via lump sum grants (EDF-2025-LS-RA-SI)

Type of action: EDF-LS EDF Lump Sum Grants

Type of MGA: EDF Lump Sum Grant [EDF-AG-LS]

Status: Forthcoming

Deadline model: single-stage

Planned Opening Date: 18 February 2025

Deadline dates: 16 October 2025 17:00 (Brussels time)

Topic description

Expected Impact:

The outcomes should contribute to:

• A stronger, more competitive, and technologically independent European Defence Technological and Industrial Base (EDTIB) when it comes to solutions for cybersecurity penetration test automatisation and capability to test the security posture of operational computer networks and emulate threat agents during training, exercises, and system tests.
• Enhanced security for EU Member States and EDF Associated Countries and more capable and interoperable forces performing cyber defence operations,
• Promote cooperative efforts in this area leveraging the implementation of EU Policy on Cyber Defence (EPCD)

Objective:

Unmanned vehicles (UxV) such as drones, ground vehicles, and surface/underwater vessels are bound to become an integral part of military operations. Advanced autonomous capabilities are being developed for these systems to enable them to carry out different missions, both with and without human intervention, thus increasing efficiency and minimising risk. From a security perspective, this poses various new challenges that need to be properly resolved to deploy these vehicles in real missions and exploit their full potential.

The cyber-physical nature of UxVs affects security in various way. It brings the attack surface of a typical computer (network) into a new context where successful cyber-attacks can have serious consequences in the physical world, while imposing new physical and operational constraints on available and well-established cyber security controls. New attack vectors emerge, and threat models need to be revised. If autonomous capabilities that rely heavily on sensor data to make their decisions are employed, the environment itself can become a new attack vector, as it can be manipulated to exploit vulnerabilities in these new capabilities. Sensors themselves become a new part of the threat model, and the protection of confidentiality of data on the vehicles needs to be weighed against the protection of the availability of effectors and actuators and the integrity of control information.

Specific objective

Designing appropriate security controls for UxVs requires capabilities to identify and evaluate complex trade-offs between data protection, cybersecurity and assured autonomy to best support a mission. Automating parts of the analysis process is necessary to handle the complexity of this task, including processing large amount of data, reducing costs and risks associated with testing physical systems, and producing structured and traceable documentation.

Existing security and safety approaches may be tailored to suit UxVs so that they can be made both secure and robust against well-known deliberate and accidental threats, however new solutions are expected. An additional challenge is whether UxVs can be made resilient in the sense that they can still react in a way that minimises the consequences, and possibly allows for alternative ways to complete the mission autonomously, in the presence of a successful cyber-attack.

This call topic contributes to the STEP objectives, as defined in STEP Regulation, in the target investment area of deep and digital technologies.

Scope:

The capability of UxVs to be resilient so that they can minimise the consequences of an cyber-attack, and allowing for alternative ways to complete the mission autonomously, is called in this context autonomous cyber defence, which is consisting of four main components: monitoring, detecting, reacting, and reconfiguring (or learn). A central part of this capability is the ability to monitor the system and detect potentially harmful anomalies, but also to understand the risk associated with both their impact and possible responses. For instance, if a malware was detected on a UxV trying to exfiltrate classified data, and the source was a malicious component critical for flight, the system might have to evaluate the risk and feasibility associated to either: preventing a breach of confidentiality by shutting down the malicious component and crash onto the ground, thus possibly damaging people or infrastructure; accepting the loss of data to prevent the UxV from crashing; or reconfiguring itself to perform an emergency landing while gradually shutting down the rotors in time to prevent significant data leakage.

A “risk-evaluation engine” is central to this capability to generate risk-based courses of actions (CoA) that take into consideration the effect of each action on the various assets connected to the UxV that need to be protected. This includes the mission goals the UxV supports, the confidential information on the UxV and the safety of the UxV itself and its surroundings. This presupposes a sufficient understanding of the UxV´s systems, its interactions, the environment and the dependencies between the UxV´s capabilities and the mission. Additionally, the anomalies should be detected with a high degree of precision to estimate their potential effect before they compromise the UxV beyond repair.

Types of activities

The following types of activities are eligible for this topic:

The following tasks must be performed as part of the mandatory activities of the proposals:

• Generating knowledge:
  • Develop suitable military scenarios where autonomous vehicles are applied, including mission objectives and mission risks.
  • Attack modelling and catalogue of threats/attacks suitable for both the vehicles and given scenarios.
  • Catalogues of assets/functionality/capabilities required to perform the mission/scenario.
  • Catalogue of security controls and measures; both to prevent attacks and to detect and respond. These are to be cyber-physical and may be both in the cyber and physical domain.
• Integrating knowledge:
  • Develop and/or enhance simulation environments (digital twins) in order to simulate scenarios, including applying attacks and defensive measures (both in cyber and physical domain).
  • Development, adaption and/or enhancement of suitable preventive security measures/controls for autonomous cyber defence.
  • Development of monitoring and detection capabilities, possibly based on AI, for autonomous cyber defence.
  • Development of capabilities to understand and contextualise detected incidents, events and produce suitable response based on risk and mission goal, which can be autonomously applied to environment.
• Studies
  • Ethical and legal considerations for autonomous cyber defence in such cyber-physical domain.
  • Understand effect and limitation of preventive security measures.
• Design
  • Proof of concept implementation of autonomous cyber defence with both preventive measures and abilities to detect and respond to cyber-attacks.
  • Test of implementation in realistic military operational scenarios and/or military exercises.

Functional requirements

The proposals should meet the following functional requirements:

• Improve robustness and resilience of UxVs against threats and attacks in the cyber domain.
• Improve knowledge of the effects and limitations of both preventive security measures and capabilities to detect and respond autonomously to attacks in the cyber domain.

Start submission

The submission system is planned to be opened on the date stated on the topic header.

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