SECURITY

IBM ’ s Threat Detection and Response ( TDR ) Services can automatically escalate or close up to 85 % of alerts ; and now , by bringing together existing AI and automation capabilities with the new Generative AI technologies , IBM ’ s global security analysts can speed the investigation of the remaining alerts requiring action .

Specifically , the new capabilities helped reduce alert investigation times by 48 % for one client .

The new Cybersecurity Assistant can accelerate threat investigations and remediation with historical correlation analysis – being designed to help speed up complex threat investigations via historical correlation analysis of similar threats .

New advancements built on watsonx empower IBM Consulting security analysts to help clients accelerate alert investigation .

Built into IBM ’ s TDR Services , the new capability cross-correlates alerts and enhances insights from SIEM , network , EDR , vulnerability and telemetry to provide a holistic and integrative threat management approach .

BM has introduced new Gen AI capabilities to its managed

Threat Detection and Response Services utilised by IBM

Consulting analysts to advance and streamline security operations for clients .

Built on IBM ’ s watsonx data and AI platform , the new IBM Consulting Cybersecurity Assistant is designed to accelerate and improve the identification , investigation and response to critical security threats .

In addition to being included in IBM Consulting ’ s threat detection and response practice , the Cybersecurity Assistant will be part of IBM Consulting Advantage – the AI services platform with purpose-built AI assets designed to empower IBM consultants to deliver value for clients with consistency , repeatability , quality and speed .

By analysing patterns of historical , client-specific threat activity , security analysts will be equipped to be more proactive and precise .

To help them better comprehend critical threats , analysts will have access to a timeline view of attack sequences , helping them to better comprehend the issue and provide more context to investigations .

The assistant will also auto-recommend actions based on the historical patterns of analysed activity and pre-set confidence levels , speeding response times for clients and helping to reduce attackers ’ dwell time .

With the ability to continuously learn from investigations , the Cybersecurity Assistant ’ s speed and accuracy is expected to improve over time .

“ As cyber-incidents evolve from immediate crises to multidimensional and months-long events , security teams are facing the enduring challenge of too many attacks and not enough time or people to defend against them ,” said Mark Hughes , Global Managing Partner of Cybersecurity Services , IBM Consulting .

“ By enhancing our Threat Detection and Response services with Generative AI , we can reduce manual investigations and operational tasks for security analysts , empowering them to respond more proactively and precisely to critical threats and helping to improve overall security posture for clients .”

The Cybersecurity Assistant also includes a Generative AI conversational engine that provides real-time insights and support on operational tasks to both clients and IBM security analysts .

In addition to responding to requests such as opening or summarising tickets , the conversational feature can automatically trigger relevant actions , including running queries , pulling logs , command explanations or enriching threat intelligence .

By explaining complex security events and commands , the TDR Service can help reduce noise and boost overall SOC efficiency for clients .

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