Machine learning (ML) in eight blogposts!? In our last post, let’s take a peek under the hood of ESET’s cybersecurity engine and its ML gears.
Seven years after Stuxnet first came to light, industrial systems security once again in the spotlight, reports ESET's Robert Lipovsky.
Multimillion dollar movies and TV shows are increasingly being targeted by cybercriminals. ESET's Stephen Cobb investigates the cyber supply chain risk management problem and explains what to do about it.
When it comes to cybersecurity, what type of employee is most likely to cause a data breach? And how can companies protect themselves?
Cybersecurity is now a worldwide problem. But far too many citizens, businesses and governments are still making the same old, basic errors.
Without regular security updates, your endpoint will be left standing alone against an entire army of cybercriminals who see you as easy prey.
ESET's Tony Anscombe takes a closer look at the anti-malware industry.
A quarter of European companies admit they were not aware of GDPR, with more than half unsure of the impact it will have, according to a new survey.
Poor business decisions can be very costly, especially in cybersecurity, where so-called false positives can have very damaging consequences.
A single protective technology means a single point of failure. A company aiming to build reliable and strong cybersecurity defenses should opt for a solution offering multiple complementary technologies.
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.
Humans make mistakes, and vulnerabilities can creep into projects unspotted. The more trusted eyes checking a service - with the approval of the systems' owners - the better.
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.
GDPR is coming into play in May 2018, but a lot of companies remain unprepared, which could have implications on how they process data.
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.
Welcome to the beginning of a new series of short articles focused on the currents state of AI, all the ins and outs of machine learning, and how it affects cybersecurity.
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.
How do you calculate the value at risk? Choosing between investing in antivirus software or doing nothing to prevent cybercrime is not black and white. We explore the grey areas of cybersecurity economics.