Telemetry is the automated collection and transmission of data from remote devices and systems, enabling real-time monitoring, performance analysis, and security threat detection.
More specifically, telemetry is the automated process of collecting, transmitting, and analyzing data from remote systems and devices to central monitoring platforms in real-time, enabling organizations to continuously monitor performance metrics, security events, and operational health across distributed infrastructure without manual intervention.
In cybersecurity contexts, telemetry provides critical visibility into network behavior, application performance, and potential security threats by streaming data from endpoints, servers, cloud services, and network devices to security operations centers and analytics platforms.
What Telemetry Captures: Security telemetry encompasses a wide range of data types including network flow data, endpoint process execution logs, authentication events, DNS queries, file system changes, application logs, and user behavior analytics. This data feeds into SIEM platforms, EDR solutions, and behavioral analytics engines that correlate events to identify threats.
Role of Telemetry in Threat Detection: Rich telemetry data enables security teams to establish baselines of normal behavior and detect deviations that indicate compromise. Behavioral AI platforms analyze telemetry across multiple data sources to identify attack patterns that individual point solutions might miss.
Telemetry and AI Security: Advanced security platforms ingest and analyze massive volumes of telemetry data using machine learning models trained on historical attack patterns, enabling automated threat detection at a scale impossible for human analysts alone.
Pangratis analyzes email telemetry across millions of messages to build behavioral baselines for each organization and detect anomalies that indicate phishing, business email compromise, and account takeover attempts.