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platforms, enabling unauthorized access and potential system manipulation. Adversarial attacks, which trick AI models into making faulty decisions, have emerged as a major concern, particularly in safety-critical applications.
The consequences of such breaches can be severe. In addition to operational disruption and financial loss, compromised robotics systems may pose physical risks to humans, especially in environments where machines interact directly with people. As robotics adoption accelerates, cybersecurity specialists urge manufacturers and operators to prioritize system integrity and resilience. The attack surface is expanding and without proactive defenses, the risks will grow.
Data privacy & protection
As robots become more integrated into workplaces, concerns are mounting over the sensitive data they collect- including video, audio, and sensor streams.
Many robotic systems rely on cloudbased services for tasks such as object recognition or natural language processing via large language models( LLMs). But this reliance introduces risks such as potential eavesdropping, unauthorized surveillance, and inadvertent data duplication. These vulnerabilities pose not only technical challenges but also significant legal liabilities, particularly when personal, operational, or proprietary data is involved.
In response, developers and regulators are increasingly advocating for local or on-
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