World Day for Safety and Health at Work takes place on April 28th 2017. You should use this as an opportunity to improve your cybersecurity posture.
Machine learning alone is not enough to protect endpoints and predicting an attacker’s next moves. Other security solutions and human input are needed.
Machine learning (ML) is routinely cited by post-truth vendors as their biggest selling point, their main advantage. But ML – if it’s done properly – comes with problems and limitations.
Only 11% of positions in the global cybersecurity workforce are occupied by women. We take a look at why and what is being done to change this.
There is no magic in machine learning. It’s a field of computer science that gives computers the ability to find patterns in huge amounts of data.
With the recent big screen adaptation of Ghost in the Shell, we thought it would be a good idea to review some of the cybersecurity themes it explores.
Cybersecurity legislation: organization, collaboration and diffusion across the globe, and working towards the populization of cybersecurity culture
The Internet of Stranger Things came to life in the recent case of a cuddly connected toy, raising wider and deeper questions about cybersecurity, privacy, and the future of digital technology.
Bletchley Park, considered to be the birthplace of modern computing, is to train the generation of cybersecurity codebreakers.
Here at RSA, an increasing amount of security purchases are made by those who got the task dumped in their laps, but who have little or no formal or practical training.
RSA feels like a mashup of giant tech Titans steadily swallowing up the little guys to make one massive, unholy tech monster. But how does that really work for small businesses as customers, and the rest of us?
Researchers have described how ransomware could potentially attack industrial control systems (ICS), and demonstratied how new malware threats might target core infrastructure, holding entire cities hostage.