Layered security needed to combat risks in robotics
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Layered security needed to combat risks in robotics

Phased integration helps mitigate cyber threats and manage expenses.

Amidst a surge in investments in advanced robotics and AI, companies are grappling with significant challenges such as cybersecurity threats and high costs. Tejal Hartalkar, Senior Analyst for Disruptive Tech at GlobalData, provided insights into how businesses can navigate these hurdles effectively.

To address cybersecurity threats, Hartalkar recommended implementing layered security measures. "Companies can implement intrusion detection systems, multi-factor authentication, and role-based access management to quickly identify and mitigate potential threats," she advised. Additionally, regular security audits, updates, and real-time monitoring are crucial in maintaining a robust cybersecurity posture.

Regarding the impact of high costs, Hartalkar outlines three strategic approaches for businesses. "First is to follow a phased integration approach, which involves introducing pilot projects to demonstrate ROI before gradually scaling up deployment. This allows costs to be spread out over time," she explains. 

Collaboration with technology partners is another strategy Hartalkar suggests to mitigate development costs and risks. "By sharing responsibilities, companies can reduce the financial burden and enhance their technological capabilities," she noted. Furthermore, leveraging cloud-based solutions and embracing a robotics-as-a-service model minimises initial investments and ensures operational flexibility. 

Looking ahead, the integration of robotics into businesses is expected to evolve significantly. "The use of autonomous, mobile robots and collaborative robots, also known as cobots, is transforming industries like healthcare, logistics, and manufacturing," Hartalkar observed. These robots are taking on roles ranging from material handling to remote patient care, streamlining processes across various sectors.

Hartalkar highlighted the potential of digital twins and AI-driven predictive maintenance in optimising operations and reducing costs and downtime. "We expect to see more robots collaborating with humans across various industries," she predicts. Companies like Mercedes-Benz and BMW have already introduced humanoids for factory automation, showcasing the future potential of robotics in business.

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