Amin Karbasi

Collaborator(s): Supriti Vijay, Aman Priyanshu, Didier Chapoteau, Arthur Goldblatt, Kimia Majd, Fraser Burch, Jianliang He, Baturay Saglam, Takahiro Matsumoto, Zhuoran Yang Today, Cisco is introducing Antares, a family of security small language models (SLMs) purpose-built for one of the hardest, most time-consuming and expensive problems in security: pinpointing where known vulnerabilities exist within a codebase.

Language models deployed in high-stakes roles can potentially favor certain entities, brands, or viewpoints, steering user decisions at scale. Such preferential biases can be introduced by any actor in the model's supply chain and are most dangerous when the model reveals its preference only on the relevant topic while behaving identically to its unmodified base on all other inputs.

Today we are announcing the availability of a new custom-tuned Foundation-Sec-8B-1.1-Instruct model that powers a key integration between Cisco Foundation AI and the Splunk AI Assistant in Security in Splunk Enterprise Security. The Splunk AI Assistant in Security is available to all Enterprise Security customers on the Splunk-hosted AWS cloud. It supports SOC analysts in their day-to-day work by automating and accelerating common tasks.