In its January 2026 report, Gartner highlights how domain-specific language models (DSLMs) are transforming security operations by improving accuracy, automation, and operational efficiency. Unlike general-purpose AI models, DSLMs are trained on cybersecurity-specific data, enabling deeper understanding of security controls, configurations, and threats. Gartner explains that DSLMs enable organizations to continuously assess exposure, automate remediation, and operationalize preemptive cybersecurity.

Gartner Emerging Tech report on domain-specific language models for SecOps

In this report, you will learn:

What domain-specific language models (DSLMs) are and why they are essential for modern security operations
How DSLMs enable autonomous risk identification, prioritization, and remediation
How Reach has been recognized as a Tech Innovator

Gartner® Report

Reach Recognized in Gartner® Emerging Tech Report on Domain-Specific Language Models for SecOps

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Gartner, Emerging Tech: Tech Innovators in Domain-Specific Language Models for SecOps, By Esha Bhatia, 30 January 2026

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