IBM announced two services designed to protect enterprise resources from security threats presented by AI and emerging frontier AI models.

IBM Consulting will offer the services: a multi-agent AI protection offering and an enterprise AI threat-assessment tool. The goal is to help companies deal with “sprawling, complex IT estates that are hard to codify, creating ideal conditions for frontier models to identify weaknesses and rapidly turn them into attack paths,” IBM stated.

The first service, IBM Autonomous Security, features multiple specialized agents that work together to detect, investigate, recommend a response, and execute the fix of AI-based threats—at machine speed, IBM stated. “The service is designed to fundamentally rearchitect how security programs operate as threats become increasingly autonomous and self-optimizing,” IBM said in a statement. 

“Using coordinated AI agents, the service analyzes software exposures and runtime environments to understand exploit paths, improve hygiene, enforce security policies across the applicable security tools, detect anomalies, and contain threats with minimal human intervention,” IBM stated. “Insights flow directly into governance and risk systems enabling up-to-date security and compliance posture—helping to reduce exposure windows and accelerate containment of high velocity attacks.”

The second service from IBM Consulting is Cybersecurity Assessments for Frontier Model Threats, which brings together IBM, technology partners, and customers to evaluate a business’s enterprise environment. 

“The assessment provides deep visibility into security gaps, policy weaknesses, AI‑specific exposures, and potential exploit paths. It also delivers prioritized mitigation guidance, including interim safeguards where no immediate software fix exists,” IBM stated.

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.