Cybersecurity software provider Tanium Inc. has announced the launch of Tanium AI and new features in its autonomous endpoint management service. These updates aim to enhance operational efficiency and expedite risk mitigation through automation.
The announcement was made at Tanium’s annual Converge Conference, where the company showcased the integration of preconfigured playbooks, seamless platform integrations, AI-driven insights, workflows, and remediation. These enhancements are expected to improve operational efficiency and risk mitigation.
Tanium’s objective is to address the challenges posed by resource constraints in IT and the increasing pace, frequency, and sophistication of cyberthreats. The company asserts that an autonomous platform is necessary to automate everyday operational tasks and effectively identify threats and vulnerabilities. Tanium also emphasizes the importance of real-time data for AI, as organizations using outdated data cannot fully leverage the benefits of AI.
The release combines real-time endpoint data with advanced AI models. Through its autonomous endpoint management service, Tanium reduces costs and minimizes risks by automating routine tasks, allowing more time for compliance-related activities. The automation of common issue remediation helps alleviate the burden on help desks and minimizes disruptions, while customized workflows enhance operational efficiency.
Key highlights of the update include autonomous insights that leverage large language models to learn and adapt to different environments. These insights enhance operator productivity by prioritizing risks based on asset criticality and recommending actions for autonomous vulnerability remediation.
Autonomous workflows generate context-based workflows by learning from operational actions, enabling a better understanding of information technology systems and their interrelationships. Autonomous remediation produces high-confidence response models and can take subsequent actions without human intervention. Customers have the flexibility to choose their desired level of autonomy with oversight and reporting.
Dan Streetman, Chief Executive of Tanium, highlights the company’s unique ability to query and analyze real-time data on every endpoint, enabling swift updates and changes at scale. By combining this capability with AI-powered action, Tanium empowers its customers to mitigate risks and remediate incidents before they cause significant damage.
In addition to the Tanium AI launch, the company also introduced other features as part of its automation drive. Guardian provides customers with the latest information and recommendations on critical emerging vulnerabilities, while Automate automates repetitive or manual tasks to drive efficiency.
Furthermore, Tanium announced Cloud Workloads, a feature that extends endpoint management support to cloud-native workloads, particularly containers. This addition enhances visibility, vulnerability management, and incident response capabilities for Tanium customers operating in hybrid cloud environments.
Photo: Tanium