Akamai is committed to using AI responsibly in our offerings, and we’ve found that generative AI can help make certain tasks and operations easier and more intuitive. Here are some examples:
Communicating with the network: The Akamai Guardicore Platform allows its users to communicate with their network logs using natural language. This can help expedite compliance efforts and time-sensitive incident response activity.
Accelerating labeling: Labels are the backbone of software-based segmentation, but not every organization has an accurate inventory of each asset they’re responsible for protecting. The Akamai Guardicore Platform can use AI to analyze the way in which these assets are behaving and suggest relevant application labels. These suggestions come with a confidence score, as well as an explanation with supporting evidence as to why the label was chosen.
Generating SQL queries: The powerful osquery is offered as an option with the Akamai Guardicore Platform, and it allows you to query specific information about the machines running in your environment. But you need to know how to create the relevant query using a SQL-like syntax. Most users know what they need to ask, but don’t know the syntax required. The Akamai Guardicore Platform can leverage AI to translate natural language into those queries, so even a not-so-technical professional can get their answers quickly. This is especially useful in vulnerability assessments, like for determining if and how you might be vulnerable to an exploit like Log4j.