Securing Automated Systems in the AI Era
Municipal networks are appealing targets since they are deemed less safeguarded, loaded with rich information, and critical to the fabric of our society. 2026 might see a hazardous merging of rising attack focus and reducing protective capability, with the MS-ISAC being among the couple of companies placed to assist minimize the threat at scale.
While the most recent open LLMs are not proper RAGs, there is likely to be a shift in 2026 toward RAG designs. These models combine trained data with external sources to produce more timely and pertinent reactions than a design might generate by itself. From a hazard perspective, this could introduce brand-new risks in the type of model poisoning, delicate data leakage, and exposure of exclusive information if not carried out carefully and if those external understanding sources are not thoroughly controlled.
2026 is an election year, implying that. Operational Innovation (OT) and crucial infrastructure will experience a high-impact cyber occurrence, most likely tied to a geopolitical conflict, which will lastly set off. after another significant SaaS failure interrupts emergency situation or public services, speeding up multi-cloud and "cloud failover" architectures. even as they are significantly hired to take on higher obligation in safeguarding their jurisdictions and vital infrastructure versus a growing wave of sophisticated cyber threats.
