Healthcare providers heavily leverage technology. In his talk, Seth Fogie, information security director at Penn Medicine takes apart different vendor systems at the “fictitious” Black Hat Clinic. Fogie gives a lot of examples and drives home the point that you shouldn’t just look at network security … you have to dig deep into the applications to ensure the security of your data.
Adversarial machine learning (ML) is a hot new topic that I now understand much better thanks to this talk at Black Hat USA 2020. Ariel Herbert-Voss, Senior Research Scientist at OpenAI, walked us through the current attack landscape. Her talk clearly outlined how current attacks work and how you can mitigate against them. She skipped right over some of the more theoretical approaches that don’t really work in real life and went straight to real-life examples.
Technology and elections are heavily interrelated – but it wasn’t always that way. We started to adopt technology once we weren’t able to fit everyone into a town hall. The first piece of technology was simply a piece of paper and a ballot box. We may not think of it as technology, but the ballot box can be tampered with. That technology gave us ballot secrecy, a trait that a hand-raise in the town hall didn’t.
In today’s fast-paced world, companies are racing to bring new, innovative software to market first. In order to keep up with the speed of innovation, many organizations are shifting toward DevSecOps. DevSecOps brings security to the front of the software development lifecycle, allowing for both fast deployments and secure applications.
In 2011 when IBM’s Watson supercomputer went up against ‘Jeopardy’ icon Ken Jennings, the world watched as a battle of man vs. machine concluded in an impressive win for Watson. It wasn’t simply remarkable that Watson could complete calculations and source documents quickly; the real feat was the brainpower it took to create fine-tuned software with the ability to comprehend questions contextually and think like a human.
