6 ways hackers will use machine learning to launch attacks

Defined as the “ability for (computers) to learn without being explicitly programmed,” machine learning is huge news for the information security industry. It’s a technology that potentially can help security analysts with everything from malware and log analysis to possibly identifying and closing vulnerabilities earlier. Perhaps too, it could improve endpoint security, automate repetitive tasks, and even reduce the likelihood of attacks resulting in data exfiltration.

Naturally, this has led to the belief that these intelligent security solutions will spot – and stop – the next WannaCry attack much faster than traditional, legacy tools. The problem is, hackers know this and are expected to build their own AI and machine learning tools to launch attacks.

Read more about how machine learning algorithms will not only improve security solutions, helping human analysts triage threats and close vulnerabilities quicker, but are unfortunately also going to help threat actors launch bigger, more complex attacks, on CSO.

Track the strategic threats to your business with the Threat Brief, delivered to your email daily.

Subscribe Here