The theme of AI in cybersecurity has become more pronounced in recent months, but the substantial buzz around generative AI applied to security is still in its early stages. The need to apply innovation to improving threat detection and response is great. On average, respondents to 451 Research's Voice of the Enterprise: Information Security, Security Operations 2022 study that are using security analytics said they are unable to investigate nearly half (48%) of their security alerts on a typical day. This leaves too many blind spots and missed opportunities to act against a constant barrage of both current and emerging threats.

MixMode believes it has an answer to this ongoing problem through its cybersecurity platform that leverages a dynamic threat detection foundation model and use of self-supervised AI to deliver threat detection and response — an approach introduced prior to much of the recent buzz surrounding generative AI. Such an approach is likely to give security teams an edge over earlier rules-based or machine-learning-based analytics — capitalizing on the current generation of innovation to understand and respond much more quickly and effectively to a much larger volume and variety of inputs, including previously unseen evidence or complex threat patterns, without human supervision