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Most AI-driven security tools lean on retrieval-augmented generation: pull relevant precedent, drop it into the context window, let the model reason over it. It works, but it has a cost problem and a consistency problem. The more data you feed a large language model to improve its answer, the more …
Most cloud security tools have a detection problem. They find misconfigurations well enough. The issue is what happens after — a ticket gets opened, someone works the queue, the fix goes in, and three weeks later the same misconfiguration is back because a different person on the team made the same…
Beth Simone Noveck joins me on this episode of the TechSpective Podcast to talk about her book, Reboot, AI and the Race to Save Democracy. She's a professor at Northeastern, where she leads the Burns Center for Social Change. She also founded Innovate US, a training program for public sector worker…
Before COVID forced everyone out of the office, hiring for most companies was a pretty localized exercise. You posted the job, you interviewed whoever could physically show up, and you picked someone. If you were based in a mid-sized city, you hired from a mid-sized city talent pool. Remote work c…
Bruce Schneier joins me on this episode of the TechSpective Podcast to talk about hacking, power, and why so much of what gets blamed on AI might actually be something else. Schneier is one of the most well-known and respected names in cybersecurity. He has been working in and writing about cybers…
Ansvarsfraskrivelse: Podcasten og kunstværket, der er indlejret på denne side, er fra Tony Bradley, som tilhører dens ejer og ikke er tilknyttet eller godkendt af Listen Notes, Inc.