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# FPGAs Set to Revolutionize Physical AI Security in Robotics
- URL: https://www.industrialbriefs.com/fpgas-ai-security-robotics/
- Published: 2026-09-05T01:00:25.000Z
- Updated: 2026-09-05T01:00:45.000Z
- Description: FPGAs are transforming AI security in robotics, offering AECM sectors enhanced safety and compliance benefits.
- Author: IndustrialBriefs
- Tags: robotics, ai, engineering, #enriched

![IB_KEY_FACTS:[{"stat":"30 years","label":"**Eric Sivertson's Experience:**","sublabel":"Over 30 years in enhancing trust and security in embedded systems."},{"stat":"Lattice Semiconductor","label":"**Leading Company in FPGA Development:**","sublabel":"Focused on building secure and reconfigurable AI systems."}]](https://industrial-briefs.ghost.io/favicon.ico)

Field-programmable gate arrays (FPGAs) are emerging as critical components in the quest to secure physical AI systems, particularly in robotics. As Eric Sivertson, Vice President of the Security Business at Lattice Semiconductor, discusses, these versatile chips play a pivotal role in creating safe, secure robots. This development is significant for the architecture, engineering, construction, and manufacturing (AECM) sectors, which increasingly rely on robotics for operational efficiency and innovation.

**What Happened**  
FPGAs, known for their reconfigurability and high performance, have become integral to building secure AI systems in robotics. Lattice Semiconductor, headquartered in Hillsboro, Oregon, is at the forefront of this movement. Eric Sivertson highlights his company's focus on enhancing trust and security in embedded systems, wireless connectivity, and high-performance computing. As AI becomes more embedded in physical systems, ensuring the security of these systems is paramount. FPGAs offer a solution by allowing systems to adapt quickly to new security threats without the need for hardware redesigns.

The podcast episode also touched on [notable industry updates](https://www.industrialbriefs.com/jaka-teradyne-patent-dispute/), including NVIDIA’s plans to acquire Hugging Face and the latest developments in the Teradyne Robotics/JAKA Robotics lawsuit. These events underscore the rapidly evolving landscape of AI and robotics, where security remains a top priority.

**What This Means for Your Business**  
For AECM professionals, the integration of FPGAs into AI systems means enhanced security for robotics used in construction and manufacturing. This development lowers the risk of cyber threats and operational disruptions, offering a competitive edge in terms of safety and reliability. Additionally, companies involved in [government contracting](https://www.industrialbriefs.com/medtronic-invests-cornerstone-robotics/) can benefit from the compliance capabilities that FPGAs provide, as they align with NIST and CMMC requirements. The ability of FPGAs to be updated and reprogrammed offers a cost-effective solution to maintaining compliance without significant downtime or investment in new hardware.

**What US Operators Should Watch**  
AECM leaders should monitor advancements in FPGA technology and its application in AI security. Staying informed about federal regulations and compliance requirements related to AI and robotics will be crucial. With the increasing adoption of AI-driven systems, procurement windows for FPGA-integrated technologies will likely expand, presenting opportunities for early adopters. Additionally, keeping an eye on industry partnerships and acquisitions, such as NVIDIA’s move with Hugging Face, can provide insights into future market trends and technological innovations.

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*Source: https://www.therobotreport.com/how-fpgas-become-the-gatekeepers-of-physical-ai-security/.* [*Read the original story ->*](https://www.therobotreport.com/how-fpgas-become-the-gatekeepers-of-physical-ai-security/?ref=industrialbriefs.com)