IBM has introduced a new generative AI-powered Cybersecurity Assistant designed to enhance its Threat Detection and Response Services. This assistant, built on IBM's watsonx data and AI platform, aims to accelerate and improve the identification, investigation, and response to critical security threats.
The AI-powered cybersecurity assistant from IBM operates through a combination of advanced AI techniques and integration with existing security infrastructure.
The assistant integrates with various data sources, including Security Information and Event Management (SIEM) systems, network telemetry, Endpoint Detection and Response (EDR) tools, and vulnerability management systems. This allows it to gather comprehensive data on potential threats.
When a potential threat is detected, the assistant can automatically initiate an investigation. It performs tasks such as historical correlation analysis, cross-referencing with known threat intelligence, and assessing the severity and impact of the threat.
Key features
Accelerated Threat Investigations: By leveraging historical correlation analysis, the assistant can speed up complex threat investigations.The assistant will also auto-recommend actions based on the historical patterns of analyzed activity and pre-set confidence levels, speeding response times for clients and helping to reduce attackers' dwell time.
Enhanced Insights: It cross-correlates alerts and enhances insights from various sources like SIEM, network, EDR, and vulnerability telemetry.
The conversational feature can automatically trigger relevant actions, including running queries, pulling logs, command explanations or enriching threat intelligence.
Operational Efficiency: The assistant helps reduce manual investigations and operational tasks, allowing security analysts to respond more proactively and precisely.
The assistant automates many routine tasks, such as data collection and initial analysis, freeing up security analysts to focus on more complex and strategic activities. This impoves overall operational efficiency and response times.
This development is part of IBM's broader strategy to integrate AI and automation into its cybersecurity services, aiming to improve overall security posture for clients.
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