In today’s complex IT environments, data is generated at an explosive rate across countless systems, networks, and applications. This raw data, known as telemetry, is the foundation of modern digital security. By understanding what telemetry is and how to leverage it effectively, IT and security teams can transform this flood of information into a proactive, intelligent security program.

What is Telemetry?

At its core, telemetry is the process of collecting measurements and data from remote points and transmitting them to a central location for monitoring and analysis. In the context of cybersecurity, telemetry is the continuous stream of security-relevant data generated by an organization’s entire digital infrastructure. This data is most often derived from logs, which are records of events and activities occurring within these systems.

Key sources of security telemetry include:

  • Networks: Firewalls, routers, switches, and DNS servers.
  • Endpoints: Workstations, servers, laptops, smartphones, and tablets.
  • Applications: Web applications, APIs, and their underlying servers.
  • Identity Systems: Identity and Access Management (IAM) tools.
  • Databases: Both on-premises and cloud-based data stores.
  • Cloud Infrastructure: Services like AWS CloudWatch and Azure Monitor.

Why is Telemetry Important?

Individually, a single data point from telemetry is of little value. However, when telemetry is collected, normalized, aggregated, and analyzed, it provides a holistic view of an organization’s security posture. This comprehensive insight allows teams to:

  • Improve Performance: Proactively identify security vulnerabilities and predict system maintenance needs before they become critical issues.
  • Strengthen Risk Management: Monitor for operational and security abnormalities that could lead to service outages or business interruption.
  • Enable Better Decision-Making: Use data-driven insights to assess the current security posture, identify areas for improvement, and guide future investments.
  • Accelerate Threat Hunting: Aggregate disparate data points to uncover Indicators of Compromise (IoCs) and detect sophisticated threats like Advanced Persistent Threats (APTs).
  • Streamline Compliance: Collect and analyze data to effectively document, report, and verify that security controls are functioning as intended.

Types of Security Telemetry

Security telemetry allows organizations to establish a baseline of normal behavior, making it possible to detect anomalies that could signal a security incident. It is typically categorized by its source.

Network Telemetry

Aggregated from firewalls, routers, and DNS servers, network telemetry provides visibility into data flow and network health. This data offers critical insights into:

  • Traffic Patterns: Inbound and outbound communications.
  • Latency: The time taken for requests and responses.
  • Usage: Which resources and ports are being accessed.
  • Device Health: CPU/memory utilization and uptime.

Endpoint Telemetry

Sourced from workstations, servers, and security tools like Endpoint Detection and Response (EDR), endpoint telemetry is crucial for managing device security. This data provides insights into:

  • Device Configurations: Settings that could expose unnecessary functions.
  • System Vulnerabilities: Known security flaws requiring patches or updates.
  • Anomalous Behavior: Unusual processes or activities that may indicate a malware infection.

Application Telemetry

Gathered from applications, APIs, Web Application Firewalls (WAFs), and IAM tools, this telemetry offers a deep understanding of application usage and security. This data provides insights into:

  • User Access: Who is accessing applications and whether their permissions are appropriate.
  • Credential-Based Attacks: Spikes in failed logins that could indicate credential stuffing.
  • API Vulnerabilities: Security weaknesses, such as those outlined in the OWASP API Security Top 10.
  • Targeted API Attacks: Malicious activity aimed at exploiting API flaws.

Cloud Telemetry

Collected from cloud provider services (e.g., AWS CloudWatch, Azure Monitor) and virtual appliances, cloud telemetry is essential for securing dynamic cloud environments. This data offers insights into:

  • Cloud Misconfigurations: Settings that attackers can exploit.
  • Resource Costs: Memory, CPU, and execution times to optimize resource allocation.
  • System Reliability: Architectural integrity needed to maintain availability.
  • Performance Bottlenecks: Latency issues or resource constraints affecting services.

The Challenges of Security Telemetry

While essential, managing security telemetry presents several significant challenges for many organizations.

  • High Storage Costs: The sheer volume of data generated by modern environments can make storage prohibitively expensive, particularly for Security Information and Event Management (SIEM) platforms. This is compounded by compliance requirements that mandate long-term data retention.
  • Difficult Ingestion Decisions: Not all data is equally valuable for real-time monitoring. High storage costs force teams to make difficult choices about which data to ingest into security platforms, potentially creating critical visibility gaps.
  • Disparate Log Formats: Telemetry data comes in many different formats (e.g., Windows Event Logs, JSON, Common Event Format). Before this data can be correlated and analyzed, it must be parsed and normalized—a complex and resource-intensive task.

Graylog: Effective Telemetry Management for Security and Operations

Overcoming these challenges requires a platform designed for scalability and efficiency. Graylog addresses the core difficulties of telemetry management to reduce the total cost of ownership (TCO) and enhance security outcomes.

Our platform’s innovative data tiering and pipeline management capabilities allow you to manage data storage efficiently, automatically organizing data to optimize access and minimize costs without sacrificing performance. Frequently accessed data remains in high-performance storage, while older data is moved to more cost-effective solutions.

With these data management challenges solved, you can fully leverage Graylog Security’s powerful threat detection and response (TDIR) capabilities. By integrating the MITRE ATT&CK framework with vendor-agnostic Sigma rules, our solution empowers you to respond to incidents faster and more effectively. This allows your team to spend less time developing custom detection rules and more time on critical security tasks.

About Graylog 

At Graylog, our vision is a secure digital world where organizations of all sizes can effectively guard against cyber threats. We’re committed to turning this vision into reality by providing Threat Detection & Response that sets the standard for excellence. Our cloud-native architecture delivers SIEM, API Security, and Enterprise Log Management solutions that are not just efficient and effective—whether hosted by us, on-premises, or in your cloud—but also deliver a fantastic Analyst Experience at the lowest total cost of ownership. We aim to equip security analysts with the best tools for the job, empowering every organization to stand resilient in the ever-evolving cybersecurity landscape.

About Version 2

Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.
Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.