Harnessing power of RISC-V, Generative AI: Expert hardware security architect Avani Dave's vision

Written By Srishty Choudhury | Updated: Aug 16, 2024, 02:15 PM IST

The impact of RISC-V and generative AI on hardware security cannot be overstated. RISC-V, an open-source hardware instruction set architecture, offers unparalleled flexibility and modularity, enabling the customization of security features to meet specific application requirements.

The convergence of RISC-V architecture and generative AI is paving the way for revolutionary advancements in hardware security. These technologies promise to enhance the resilience of systems against an array of cyber threats. At the forefront of this transformative field is Avani Dave, an esteemed Hardware Security Architect renowned for her groundbreaking contributions to secure, attack-resilient systems.

Avani Dave's expertise in RISC-V and generative AI has positioned her as a leading figure in hardware security. With a robust background in developing attack-resilient embedded solutions, she is responsible for conducting pathfinding research that explores the potential of RISC-V and generative AI to bolster system security. Her work not only provides valuable insights into anomaly detection and threat modeling but also contributes to the broader discourse on AI accelerators in security applications.

The impact of RISC-V and generative AI on hardware security cannot be overstated. RISC-V, an open-source hardware instruction set architecture, offers unparalleled flexibility and modularity, enabling the customization of security features to meet specific application requirements. This adaptability is crucial in designing systems that are not only secure by design but also capable of dynamic response to emerging threats. Generative AI, with its capacity for anomaly detection and predictive analysis, enhances the proactive defense mechanisms of these systems, making them more resilient against sophisticated attacks.

Dave has made a great contribution to this field. Her studies on security based on RISC-V have led to the assessment of important open-source architectures like OpenTitan from Google, CHERI from Microsoft (created in partnership with the University of Cambridge), and Caliptra from the Chip Alliance. Each of these architectures presents unique approaches to secure boot, attestation, and runtime security, showcasing the versatility and robustness of RISC-V in safeguarding hardware systems. OpenTitan, for instance, integrates various security features of the Ibex RISC-V controller, while CHERI focuses on compartmentalization to prevent buffer overflow and similar attacks. Caliptra, on the other hand, offers a DICE-based attestation framework, demonstrating industry collaboration in enhancing hardware security.

Furthermore, Dave's collaboration in identifying generative AI applications for anomaly detection has led to significant advancements in the security domain. Her work has resulted in tangible benefits, including the development of automotive security solutions such as Safe Eye and Dashcam Eye. These innovations leverage RISC-V based attack-resilient systems, exemplified in projects like CARE, RARES, and SRACARE. By incorporating generative AI, these systems achieve enhanced security, efficiency, and performance, setting new benchmarks in the field.

One of Dave's notable achievements is her ability to navigate and overcome the challenges associated with traditional CISC architecture, which often limits security features to those implemented by silicon vendors. RISC-V's open-source nature and modularity offer a compelling alternative, facilitating the design and prototyping of secure systems tailored to specific needs. This flexibility is particularly valuable in the dynamic landscape of AI-based accelerators, where security requirements are continually evolving. As Dave notes, "The latest advancements in open-source hardware design, particularly using RISC-V, have made the design and prototyping of systems easy and quick, paving the way for future research and innovation."

Dave's scholarly contributions further underscore her impact on the field. Her papers on generative AI and reinforcement learning for automotive security, such as Safe Eye and Dashcam Eye, provide critical insights and practical solutions. These publications, along with her work on RISC-V based systems, highlight her deep understanding of the interplay between hardware security and AI and her commitment to advancing the state of the art.

Avani Dave's vision for harnessing the power of RISC-V and generative AI is driving significant advancements in secure, attack-resilient systems. Her expertise and pioneering research are not only shaping the future of hardware security but also setting new standards for the industry. As the adoption of RISC-V and AI technologies continues to grow, her contributions will undoubtedly play a crucial role in ensuring the robustness and resilience of next-generation systems.