Tanium Features

Diagnose and resolve incidents without the need for human interaction.

Guide users through the resolution process and give specific instructions to remedy individual occurrences.

Cuts off network connection or temporarily inactivate applications until incidents are remedied.

Gathers information related to threats in order to gain further information on remedies.

Information on each incident is stored in databases for user reference and analytics.

Produces reports detailing trends and vulnerabilities related to their network and infrastructure.

Analyzes recurring incidents and remedies to ensure optimal resource usage.

Gives alerts when incidents arise. Some responses may be automated, but users will still be informed.

Adminstrators can access and organize data related to incidents to produce reports or make data more navigable.

Administrators can organize workflows to guide remedies to specific situations incident types.

Provide immediate insights, information, and updates on IT assets from a central dashboard.

Design and implement custom or pre-built policies for asset management, onboarding, and maintenance.

Implement risk management policies, and push policy updates to various assets across a business network.

Integrate with other software solutions, such as spend management and software asset management.

Create an inventory of a company's hardware assets.

Create an inventory of a company's software assets.

Create an inventory of a company's cloud assets.

Create an inventory of a company's mobile assets.

Detect new assets as they enter a network and add them to asset inventory.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Allows users to generate text based on a text prompt.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Uses AI-driven models to analyze historical and current data to enable organizations to manage new exposures proactively.

Uses AI algorithms to analyze data for patterns and anomalies that signify potential risks.

Identifies, evaluates, and monitors various types of risks to understand the overall risk exposure and prioritize them based on potential impact.

Includes tools for deep analysis of risk data, providing insights into trends and patterns that support strategic risk assessment and decision-making.

Ensures seamless interaction with other systems and unification of risk data, enabling a comprehensive view and efficient management of risk exposure.

Allows for continuous surveillance of risk factors, providing timely alerts to mitigate emerging risks effectively.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Creates detailed models of normal user and device behavior across endpoints.

Generates new security policies or modifies existing ones to adapt to evolving threats.

Analyze patterns and predicts potential endpoint failures or security breaches before they occur to proactively perform maintenance tasks or apply security patches, reducing downtime and preventing incidents.

Automatically deploys software updates and security patches to ensure all endpoint devices remain up-to-date with the latest protection against vulnerabilities.

Automatically discovers and maintains an updated inventory of all endpoints within the network, ensuring accurate asset management.

Equips endpoints with the ability to self-diagnose and repair certain issues without manual intervention.

Provides centralized monitoring of endpoint status and health, enabling remote troubleshooting and management for IT teams.