Unless you purposely avoid social media or the internet completely, you’ve likely heard about a new AI model called ChatGPT, which is currently open to the public for testing.
The widely available use of machine learning/artificial intelligence (ML/AI) for cybersecurity practitioners is relatively new. One of the most common use cases has been endpoint detection and response (EDR), where ML/AI uses behavior analytics to pinpoint anomalous activities.
It can use known good behavior to discern outliers, then identify and kill processes, lock accounts, trigger alerts and more.
Whether it’s used for automating tasks or to assist in building and fine-tuning new ideas, ML/AI can certainly help amplify security efforts or reinforce a sound cybersecurity posture. Let’s look at a few of the possibilities.