As the use of autonomous systems transitions from experimental stages to essential operations, the landscape of technology is evolving rapidly. Drones are now being utilized for infrastructure inspections, robots are supporting industrial workflows, and uncrewed platforms are being integrated into defense, public safety, logistics, energy, and commercial activities.
For Chief Information Security Officers (CISOs), this shift brings about a new perspective on security. It is no longer just a matter of categorizing autonomous systems as devices to be inventoried. The critical question now is whether these autonomous missions can maintain reliability, trustworthiness, and control while functioning in real-world scenarios.
Redefining Endpoints
The traditional endpoint analogy falls short when it comes to autonomous systems. These systems do not merely store, process, and transmit data; they also have the ability to move, sense, make decisions, and take action. Operating outside controlled environments, relying on wireless connections and external signals, and often functioning in areas with limited human intervention, drones, ground robots, and uncrewed vehicles represent a new breed of mobile cyber-physical systems.
An autonomous system integrates embedded computing, mission-specific software, sensors, RF communications, AI-driven decision-making capabilities, and mechanical control within a single operational environment. A compromise in any of these components could disrupt a mission, alter physical behavior, expose sensitive data, or open a gateway to broader operational networks.
The risks associated with autonomous systems extend beyond the duration of a mission. Even after a platform is no longer in operation – whether it is downed, captured, recovered, or disabled – its credentials, logs, mission data, software, or communication keys may still be vulnerable. The loss of operational control can lead to data breaches, compromised security keys, and increased exposure for the organization.
Transitioning from Device Security to Mission Assurance
For security professionals, the focus shifts from securing individual devices to ensuring the trustworthiness of the entire mission. Mission assurance hinges on three key factors: dependability, integrity, and control. Dependability assesses the system’s ability to function when required, integrity evaluates the trustworthiness of software, data, configurations, and inputs, while control examines whether authorized entities retain command over the system.
In situations where one of these conditions fails, the mission may appear to be functioning normally on the surface. However, the underlying confidence in its operational integrity has already been compromised. Secured Autonomy framework categorizes these risks into three pillars: Secured Autonomous Platforms, Secured Communications and Electronic Warfare (EW) Protection, and Secured Autonomous Fleets, providing a comprehensive roadmap for securing autonomous missions.
Identifying Vulnerabilities in Autonomous Trust
- Secured Autonomous Platforms
The autonomous platform serves as the core execution environment for mission logic. It encompasses mission computers, firmware, operating systems, sensors, internal networks, payload interfaces, and mission-specific applications. Security teams are tasked with safeguarding, monitoring, and continuously validating these components to ensure mission integrity.
A common misconception is assuming that a platform deemed trustworthy at the outset will remain secure throughout the mission. Factors such as field exposure, software modifications, maintenance access, abnormal network traffic, or physical tampering can erode trust even as the platform continues to function normally.
Risks associated with platforms include unauthorized code execution, firmware tampering, insecure services, excessive privileges, configuration inconsistencies, manipulated network traffic, and physical tampering. The objective is to establish and maintain a trusted state, control runtime behavior, detect anomalies, and preserve evidence of any security breaches.
- Secured Communications and Electronic Warfare (EW) Protection
The communication link plays a crucial role in transmitting command and control signals, telemetry data, video feeds, mission updates, and system status information. In the realm of autonomy, this link is not merely a conduit but a vital component of the trust boundary.
This boundary is susceptible to cyber threats and electronic warfare tactics in the RF spectrum. Threats such as jamming, interference, signal congestion, interception, replay attacks, spoofing, link hijacking, and protocol manipulation can compromise the trustworthiness of the mission.
While encryption is a necessary measure, it alone is not sufficient to guarantee secure communication. An encrypted link can still be disrupted by jamming or vulnerable to spoofed commands. Secured Autonomy framework evaluates communication protection based on three key objectives: immunity to RF stress, cybersecurity measures for authenticated control and anti-replay protection, and encryption for securing mission data and control traffic during transmission.
- Secured Autonomous Fleets
Securing a fleet of autonomous systems presents unique challenges as risks scale with the number of systems involved. Securing a single platform differs significantly from securing multiple systems that share configurations, updates, cloud interfaces, remote administration tools, compliance monitoring, and fleet-wide visibility.
The pitfall lies in treating security incidents as isolated events affecting individual devices, overlooking the interconnected nature of policies, update paths, identity models, and control mechanisms that impact the entire fleet. At the fleet level, security measures focus on maintaining state integrity, coordinating participation, and enforcing containment protocols.
Key Questions for CISOs
While CISOs may not be expected to possess expertise in robotics, they do need to ask informed questions that bridge the gap between cybersecurity and autonomous systems deployment. These questions can guide discussions on architecture and governance, translating abstract concerns into actionable strategies.
- Can the platform demonstrate its trustworthiness?
Look for features such as secure boot processes, signed software, real-time monitoring, secure configurations, process controls, least privilege access, file integrity checks, and tamper-resistant logging mechanisms. The risk lies in assuming that a pre-mission security check suffices as proof of ongoing trustworthiness throughout the mission. In autonomous systems, maintaining and monitoring trustworthiness during operation is essential.
- Can the communication link withstand cyber and EW threats?
Evaluate the resilience of the communication link against jamming, interference, spectrum congestion, authentication mechanisms, encryption protocols, anti-replay protections, protocol validation, spoofing resistance, anomaly detection, and contingency plans for degraded links. Merely relying on encryption for secure communication may leave the mission vulnerable to disruptions in availability, authentication failures, or compromised control integrity.
- Can software and firmware updates be securely managed at scale?
Ensure that updates are signed, versioned, staged, validated, monitored, and reversible to prevent unauthorized modifications. Treating the update process as routine maintenance rather than a critical trust boundary could expose the fleet to compromised update mechanisms, facilitating efficient distribution of malicious code by attackers.
- Is there a mechanism to contain or quarantine suspicious nodes?
Security teams should have the capability to isolate, roll back, remove, or restrict abnormal fleet elements without disrupting overall operations unnecessarily. A binary response – either keeping a questionable node in the mission or halting all operations – may lead to suboptimal outcomes.
- Is there clear visibility into the fleet’s security posture?
Organizations require comprehensive insights into asset states, configuration changes, compliance status, runtime behaviors, anomalous activities, logging data, and incident response readiness. Inadequate visibility may result in delayed detection of security breaches, hindering effective decision-making and response efforts.
The Significance of an Industry Framework
Adopting a structured framework is crucial for instilling discipline in discussions surrounding autonomous system security. By moving beyond abstract assurances such as “secure link” or “hardened platform,” security leaders can engage in meaningful evaluations based on tangible evidence.
While CISOs may not be directly involved in the design of robotic systems, they bear the responsibility for addressing the cybersecurity risks associated with these technologies. A standardized framework like Secured Autonomy serves as a common language for procurement, engineering, operations, security, and governance teams to assess trust levels, identify vulnerabilities, and support informed decision-making processes.
The ultimate goal is not to replace engineering, testing, certification, or compliance efforts but to enhance organizational preparedness by asking pertinent questions, setting clear expectations, comparing architectural options, and making well-informed risk management decisions before autonomous systems become integral to critical workflows.
Building Trust for Scalability
As autonomous systems continue to expand across various sectors, including defense, public safety, infrastructure, logistics, and commercial operations, organizations must prioritize cybersecurity strategies that account for onboard execution, field operations, communication challenges, electronic warfare threats, fleet coordination, and overall mission impact.
The value of autonomy lies in its ability to augment organizational capabilities in sensing, decision-making, and action execution. However, this value can only be maximized when trust is established across the platform, communication channels, EW environment, and fleet operations. With drones, robotics, and uncrewed platforms becoming integral components of operational infrastructure, an autonomy-specific cybersecurity framework is essential for responsible deployment.
Oren Elkayam, the CEO, and Co-Founder of Mobilicom, a leading provider of cybersecurity and communications technologies for drones, robotics, and autonomous systems, brings a wealth of expertise in wireless networking and nanopowder technology. With a background in Electrical Engineering and an MBA from Ben-Gurion University, Israel, Oren spearheads the development of the Secured Autonomy framework and the educational resource, Secured Autonomy: A Cybersecurity Primer for Drones and Robotics.
Mobilicom’s commitment to enhancing cybersecurity across autonomous platforms, communications, and fleet operations underscores the importance of proactive risk management in the face of evolving technological landscapes. For more information on Oren Elkayam and Mobilicom’s cybersecurity solutions, visit Oren’s LinkedIn profile at https://www.linkedin.com/in/oren-elkayam-4ab45/ and Mobilicom’s official website at https://mobilicom.com/
