aiqbench analysis
Sandia National Laboratories is leveraging its national security expertise to address emerging AI vulnerabilities, such as model integrity and data protection, specifically for Tri-Valley startups. This initiative highlights a critical shift toward benchmarking rapidly deployed systems for reliability before adversaries can exploit poorly understood failure modes. The effort underscores the necessity of bridging analytic gaps between private sector innovation and established national lab security protocols.
Sandia experts map AI risks for Tri-Valley startups
Sandia experts addressed security challenges for Tri-Valley startups adopting artificial intelligence, including data protection and model integrity.
Sandia National Laboratories is proactively addressing emerging artificial intelligence risks by collaborating with private-sector innovators. On July 29, experts from Sandia, including Amanda Dodd, director of Computation and Analysis for National Security, hosted a Lunch and Learn event for Tri-Valley startups at Daybreak Labs in Livermore. Dodd framed the current AI wave as comparable to the rapid adoption of the internet in the 1990s, stating, “Like with internet connectivity, AI is introducing poorly understood vulnerabilities, not only from adversaries, but also from…
Excerpt shown under the publisher's RSS terms · 82 words · full text and figures are on the publisher's site
