Threat Management, MDR, SOC

IBM Introduces Agentic AI and Predictive Threat Intelligence to Strengthen Managed Detection and Response Services

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IBM has announced new advancements to its managed detection and response (MDR) service offerings, introducing agentic AI and automation capabilities designed to support autonomous security operations and predictive threat intelligence for clients.

At the center of this launch is the Autonomous Threat Operations Machine (ATOM), a system built to triage, investigate, and remediate security threats with minimal human intervention. ATOM operates using an agentic AI framework that orchestrates multiple specialized agents to speed up threat detection, enrich alerts, analyze risks, and perform remediation tasks. The platform is designed to enhance security operations by reducing time spent on false positives and lower-priority threats, allowing security teams to focus on incidents that require critical attention.

ATOM is integrated within IBM’s Threat Detection and Response (TDR) services and operates as a vendor-agnostic digital operator. It can work alongside existing security solutions from IBM and partners including Google Cloud and Microsoft, providing flexible integration for enterprise environments. IBM Consulting supports clients by delivering AI-based orchestration and helping optimize security operations center (SOC) outcomes.

Complementing ATOM is the introduction of IBM X-Force Predictive Threat Intelligence (PTI). PTI combines AI and human analysis to provide proactive, contextualized threat insights. Built on proprietary AI foundation models and trained on cybersecurity datasets, PTI predicts potential adversarial activity by focusing on early indicators of behavior rather than waiting for known indicators of compromise. It sources information from over 100 feeds, including X-Force Threat Intelligence and open-source data, producing tailored threat intelligence reports with actionable hunting queries.

Suparna Chawla Bhasin

Suparna serves as Senior Managing Editor for CyberRisk Alliance’s Channel Brands, including MSSP Alert and ChannelE2E.  She plays a key role in content development, optimizing editorial workflows, aligning storytelling with audience needs, and collaborating across teams to deliver timely, high-impact content. Her background spans technology, media, and education, and she brings a unique blend of strategic thinking, creativity, and executional excellence to every project.

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