Humans Are Bad at Risk Assessment, and Other Stories
Risk management is not one of humanity's strong points, but we can learn some lessons from our own real life experiences to apply
He is one of the co-founders of Threatpost and previously wrote for TechTarget and eWeek, when magazines were still a thing that existed. Dennis enjoys finding the stories behind the headlines and digging into the motivations and thinking of both defenders and attackers. His work has appeared in The Boston Globe, The Improper Bostonian, Harvard Business School’s Working Knowledge, and most of his kids’ English papers.
Risk management is not one of humanity's strong points, but we can learn some lessons from our own real life experiences to apply
As software systems have become ever more complex, the opportunity for security researchers to show their value has grown, as
FIN7 is a highly active and capable cybercrime group also known as Carbanak that has been evolving and using its own tools such as
Rebekah Brown and John Scott-Railton of the Citizen Lab join Dennis Fisher to dive into their group's new report on highly targeted spear phishing campaigns by the Russian threat actor COLDRIVER and then discuss the emergence of a new, possibly related group called COLDWASTREL.
Risk management is not one of humanity's strong points, but we can learn some lessons from our own real life experiences to apply to our security careers.
Dennis Fisher and Lindsey O'Donnell-Welch reflect on their week in Las Vegas at Black Hat and discuss the talks they liked, including Moxie Marlinspike's keynote and the Google Project Zero retrospective, and the other topics they found interesting, including vulnerability exploitation versus social engineering and the AI ecosystem.
As software systems have become ever more complex, the opportunity for security researchers to show their value has grown, as well.
AI and machine learning security expert Gary McGraw joins Dennis Fisher to discuss the concept of data feudalism in LLM foundation models, what the security implications of it are, and whether narrowly focused models may help address these issues.