IBM added generative AI capabilities to its managed threat detection and response services. Credit: Gorodenkoff / Shutterstock IBM is adding generative AI capabilities to its managed threat detection and response services in an effort to streamline the identification and response to enterprise security exposures. Big Blue said its AI-based Cybersecurity Assistant will help its global consulting analysts to respond more quickly to security alerts – the new capabilities reduced alert investigation times by 48% for one client, according to IBM. The Cybersecurity Assistant works by analyzing patterns of historical, client-specific threat activity, and it helps security analysts better comprehend critical threats via a timeline view of attack sequences. Threat detection and response (TDR) platforms typically gather information from customers’ enterprise environments, such as servers, endpoints and other devices, and IBM’s TDR services integrate information from IBM X-Force’s global network of sensors and intelligence analysis. The assistant will also recommend actions based on the historical patterns of analyzed activity and pre-set confidence levels, which can help to speed response times for clients and reduce attackers’ time to infiltrate an system. The Cybersecurity Assistant will continue to learn from investigations, which will further boost speed and accuracy going forward, according to IBM. The idea is to help enterprise customers get a handle on the myriad vulnerabilities, alerts and security tools they have to deal with on a daily basis. By using AI and other analytics capabilities, IBM’s managed TDR services can automate away the noise and let IT teams focus on escalating critical threats to the business, IBM stated. “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,” said Mark Hughes, global managing partner of cybersecurity services with IBM Consulting, in a statement. The managed TDR service is offered by IBM Consulting and includes 24×7 monitoring, investigation, and automated remediation of security alerts from existing security tools as well as cloud, on-premises, and operational technology systems utilizing the enterprise network. The services can integrate information from more than 15 security event and incident management (SIEM) tools and multiple third-party endpoint and network detection and response packages, for example. IBM’s MDR services compete in a broad market that includes similar services from Arctic Wolf, eSentire, CrowdStrike, Fortinet, Mandiant, Red Canary and others. Read the latest network security stories: Qevlar AI tackles alert fatigue with autonomous investigation Aembit brings identity management to non-human workloads Dazz aims to unify security remediation with AI-driven platform dope.security puts a new spin on secure web gateways Mitiga zeros in on cloud and SaaS security Corelight boosts AI-driven network detection and response Related content news Alkira expands NaaS platform with ZTNA capabilities Network-as-a-service vendor Alkira looks to extend security down to user policies and posture for a full zero-trust approach. By Sean Michael Kerner Oct 23, 2024 6 mins SaaS Network Security Networking news IBM launches platform to protect data from AI and quantum risks The SaaS-based Guardium Data Security Center provides unified controls for protecting data across distributed environments, including hybrid cloud, AI deployments and quantum computing systems. By Michael Cooney Oct 22, 2024 4 mins Generative AI Hybrid Cloud High-Performance Computing analysis Gartner: Top 10 strategic technology trends for 2025 Agentic AI, post-quantum cryptography, AI governance, and hybrid computing are among the most pressing and potentially disruptive trends that enterprises are facing, Gartner reports. By Michael Cooney Oct 21, 2024 8 mins Generative AI Edge Computing Network Security analysis Has the time come for integrated network and security platforms? Platformization buy-in has been elusive in the past, but AI could be the impetus for enterprises to give new consideration to the idea of a consolidated network and security platform. By Michael Cooney Oct 21, 2024 5 mins SASE Generative AI Network Security PODCASTS VIDEOS RESOURCES EVENTS NEWSLETTERS Newsletter Promo Module Test Description for newsletter promo module. Please enter a valid email address Subscribe