Super(conductive) Graphene, Yandex Leak, No Fly Lists, & Thinkpad Servers – PSW #771

I don't generally look to Popular Mechanics for articles on Cybersecurity, but who am I to judge? The article cites a presentation at the recent World Economic Forum (WEF) highlighting the WEF Global Security Outlook Report 2023, which asserts that “93 percent of cyber leaders, and 86 percent of cyber business leaders, believe that the geopolitical instability makes a catastrophic cyber event likely in the next two years." Given the state of our industry, I'm not sure we prevent this from occurring, so what should be our strategy?

Spaf is very excited about his latest book release - so go grab a copy today!

In Cybersecurity Myths and Misconceptions: Avoiding the Hazards and Pitfalls that Derail Us, three cybersecurity pioneers don't just deliver the first comprehensive collection of falsehoods that derail security from the frontlines to the boardroom; they offer expert practical advice for avoiding or overcoming each myth.

AI has made progress at an incredible pace. Why? Because of a new class of AI models that are more flexible and powerful than anything that has come before: foundation models. The main drivers of this success are programmable GPUs, large training data sets, and a model from Google called "the transformer." Inputs are reduced to a matrix of numbers so large data inputs can be efficiently processed.

The FBI's new strategy prioritizes helping victims of cybercrime over gathering evidence for prosecution. The FBI had extraordinary access for six months to the computer infrastructure of a Russian-speaking ransomware group known as Hive, and passed keys to victims so they could decrypt their systems and thwart $130 million in ransom payments.

Graphene is an atom-thin material made from carbon atoms that are linked in a hexagonal pattern resembling chicken wire. Two sheets of graphene stacked together and rotated by the magic angle of 1.1 degrees create a new material with an amazing property: superconductivity that can be turned on and off with an electric pulse, much like a light switch.

The discovery could lead to ultrafast, energy-efficient superconducting transistors for neuromorphic devices—electronics designed to operate in a way similar to the rapid on/off firing of neurons in the human brain.

Nearly 45GB of source code files, allegedly stolen by a former employee, have revealed the underpinnings of Russian tech giant Yandex's many apps and services. This exposes the internal workings of Yandex and also Google, since Yandex purportedly employs several ex-Google employees.

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