Deep learning is a special field in machine learning that is showing new developments in many industries. We explain the concept and give some examples of the latest and greatest.
Deepfake ransomware is a mighty combination that several security experts fear would happen soon. But what is it exactly? Is it deepfake with a ransomware twist? Or ransomware with a sprinkling of deepfake tech?
Zero-day vulnerabilities—and their potential, related attacks—can drive any security team mad. Here’s how you can bulk up your defenses.
Malwarebytes Labs’ latest report looks at the near-future reality of malicious artificial intelligence (AI), evaluating how the technology is being used today, and how it realistically might be abused in the next few years.
Malwarebytes released a new report called “Under the Radar: The Future of Undetected Malware” that takes a look at current threats using next generation tricks, and how current security technologies stand up to these threats, as well as the threats to come.
Sophisticated social engineering. Fileless malware. Specialized Trojans. These are the threats that keep the financial sector on its toes—making way for a new mode of authentication called behavioral biometrics. And its primary concern is not what your credentials are but how you enter them.
Both artificial intelligence and machine learning are being adopted in cybersecurity. But before they achieve mainstream traction, it’s important to discuss their impact to the industry.