It falls under the category of AI-embedded threat intelligence, which makes detection more efficient by reducing the rate of false positives and improving the overall detection rate. When the threat intelligence alone doesn’t provide enough information, we use other methods to verify the threat. For example, IBM has its threat intelligence team and tools. If the threat intelligence doesn’t yield much information, the tool has a framework that can identify suspicious activity. We then use our judgment and experience to implement compensating controls, whether for a potentially malicious patch, IP address, or any other threat. Customers benefit from it, even if they’re not directly integrating it. Through our service, they receive the benefits of the integration. Overall, I rate the solution a nine out of ten.
