Mobilicom Introduces “Secured Autonomy” Cybersecurity Framework for Critical Systems

[John Brown]

Mobilicom has unveiled its Secured Autonomy cybersecurity framework, a comprehensive approach designed to protect autonomous systems, robotics, drones, and other mission-critical devices against evolving threats. This new framework aims to embed cyber resilience at the hardware, software, and AI layers, enabling safer autonomy even in contentious or adversarial environments.

By focusing on layered security, threat detection, and adaptive controls, Mobilicom's Secured Autonomy framework is engineered to counteract unique risks to autonomous systems such as sensor spoofing, command spoofing, and adversarial model attacks.

Key Pillars of the Secured Autonomy Framework​

1. Layered Defense Across the Stack​

Mobilicom's approach secures every layer from physical hardware to firmware, operating systems, AI models, and communications ensuring that no single vulnerability can compromise the full system. Redundancies, integrity checks, and trusted execution zones are built in.

2. Real-Time Threat Detection & Response​

The framework integrates continuous monitoring, anomaly detection, and predictive threat modeling. If suspicious behavior or data patterns emerge, the system can autonomously respond—isolating subsystems or triggering fallback protocols.

3. Secure Communications & Command Control​

Because autonomous systems often operate in networked or remote contexts, Secured Autonomy enhances secure command channels using encrypted, authenticated links, with fallback and resilience if links are enhanced or under attack.

4. AI Robustness & Adversarial Safeguards​

Given the growing risks in adversarial AI attacks (eg input perturbations, model poisoning), the framework includes defenses such as input sanitization, model verification, anomaly filters, and ensemble models to improve robustness.

5. Lifecycle Assurance & Update Governance​

Autonomous systems are long-lived and require updates. Secured Autonomy supports secure firmware and model updates with cryptographic validation, rollback protection, and audit trails to maintain integrity over time.

Why Secured Autonomy Is Critical Now​

• Autonomous technology is rapidly proliferating: From drones and robots to autonomous vehicles, the attack surface is broadening, and malicious actors are adapting quickly.
• High stakes in defense and critical infrastructure: Failures in autonomous systems especially in defense or public infrastructure can have severe consequences.
• Traditional cybersecurity is insufficient: Legacy security models assume human oversight; autonomous systems require protection that anticipates action without direct human intervention.
• Trust as a differentiator: Organizations and agencies procuring autonomous platforms will demand strong security guarantees; frameworks like Secured Autonomy can become a selling point.

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