AI frontier models “represent a step change in offensive capability, which can dramatically lower the time, cost, and expertise required to carry out sophisticated attacks and push organizations toward continuous business disruption. As attacks move at machine speed, security programs built on fragmented tools and manual processes are increasingly outmatched,” IBM stated. These new services are designed to address those challenges, according to IBM.
In its 2026 X-Force Threat Intelligence Index, IBM X-Force reported that cybercriminals are exploiting basic security gaps at dramatically higher rates, accelerated by AI tools that help attackers identify weaknesses faster than ever. “IBM X‑Force observed a 44% increase in attacks that began with the exploitation of public-facing applications, largely driven by missing authentication controls and AI-enabled vulnerability discovery,” IBM stated.
The new services expand the portfolio of AI security packages Big Blue offers. One recent example is the IBM Network Intelligence service, which is aimed at delivering a single layer of intelligence that helps customers see and manage their AI environments. It uses AI agents that can help with reasoning, root-cause hypothesis, and suggested remediation. In addition, pre-trained AI models learn by consuming network design, telemetry, flows, alarms, time-series data, and more to detect hidden issues and early degradation. The service can then interpret data, generate probable causes, make remediation suggestions, and help with decision support.
