Scaling Server Performance for Enterprise Automation Workloads
Community networks are appealing targets due to the fact that they are considered as less protected, full of rich data, and critical to the fabric of our society. 2026 might see a harmful merging of rising attack focus and reducing protective capacity, with the MS-ISAC being among the few organizations positioned to assist reduce the risk at scale.
While the most current open LLMs are not appropriate RAGs, there is likely to be a shift in 2026 toward RAG models. These models combine experienced data with external sources to produce more prompt and relevant responses than a design might create on its own. From a hazard perspective, this might present new dangers in the form of design poisoning, delicate information leakage, and direct exposure of exclusive data if not executed carefully and if those external knowledge sources are not carefully controlled.
2026 is an election year, implying that.
