Which method can be used for endpoint detection within Tanium?

Real-time signal monitoring is a key method for endpoint detection within Tanium. This approach involves continuously monitoring the signals and behaviors of endpoints in real-time, allowing for immediate detection of suspicious activity or changes. By leveraging this method, Tanium can provide actionable insights and alerts about the current state of endpoints, enabling IT professionals to respond swiftly to potential security threats or operational issues.

Real-time signal monitoring is particularly effective because it allows for quick identification of anomalies that could indicate a security breach, performance degradation, or compliance issues. The immediate feedback loop created by this method helps organizations maintain a secure and well-performing endpoint environment.

In contrast, the other methods listed, while valuable for various tasks, do not provide the same level of immediate visibility and detection capabilities. Custom alerts may notify users based on predefined criteria, but they do not inherently involve real-time monitoring. Distributed scanning allows for the assessment of multiple endpoints simultaneously but can take time to execute and might not be as immediate. Batch processing, as the name implies, works with data in groups rather than providing insight in real-time, which can delay the detection of critical events or issues that arise suddenly on endpoints.