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BackWhat is Runtime threat detection?
Runtime threat detection is the process of identifying malicious or suspicious activity while an application, endpoint, container, or workload is actively running. Instead of relying only on pre-deployment security checks or signature-based detection, runtime threat detection continuously monitors live environments to detect attacks as they occur.
Cyberattacks often begin after an application or system has been deployed. Attackers may exploit vulnerabilities, execute malicious code, abuse legitimate tools, or attempt privilege escalation during runtime. Runtime threat detection helps security teams identify these activities early, enabling faster investigation and response before the attack causes significant damage.
It is widely used in endpoint security, cloud workloads, container security, Kubernetes environments, and Extended Detection and Response (XDR) platforms.
Why it matters
Traditional security controls such as vulnerability scanning and code analysis identify weaknesses before deployment, but they cannot detect every attack that occurs during execution. Runtime monitoring adds another layer of defense by observing real-time system behavior.
It helps organizations:
- Detect active cyberattacks as they occur.
- Identify suspicious process and application behavior.
- Reduce the impact of zero-day exploits.
- Improve threat visibility across live environments.
- Accelerate incident detection and response.
- Strengthen overall cyber resilience.
Continuous monitoring helps organizations respond to threats before they spread across the environment.
How it works
Runtime threat detection analyzes live telemetry from systems and workloads to identify indicators of malicious activity.
| Stage | Purpose |
|---|---|
| Telemetry collection | Gather process, memory, file, network, and user activity |
| Behavior analysis | Identify abnormal or malicious behavior |
| Threat detection | Detect attacks using behavioral analytics, threat intelligence, and known indicators |
| Alert generation | Notify security teams of suspicious activity |
| Response | Trigger automated or manual containment and investigation actions |
This approach enables security teams to detect threats that may not be visible through static security controls alone.
Common use cases
It protects a wide range of environments.
| Environment | Example |
|---|---|
| Endpoints | Detect ransomware, malware, and privilege escalation attempts |
| Cloud workloads | Monitor running virtual machines and cloud-hosted services |
| Containers | Detect malicious processes and runtime attacks inside containers |
| Kubernetes | Monitor running pods and workloads for suspicious behavior |
| Enterprise applications | Identify attacks targeting live production applications |
Organizations often combine runtime threat detection with preventive controls such as vulnerability management and application security testing.
How Hexnode helps
Hexnode XDR helps organizations detect threats on managed Windows endpoints by continuously collecting endpoint telemetry and monitoring processes, files, user activity, and other security events. It provides centralized visibility into detections, incidents, and MITRE ATT&CK mappings, helping security teams investigate threats while they are actively unfolding.
Hexnode XDR also supports response actions such as endpoint isolation and incident investigation, enabling organizations to contain compromised devices quickly. Combined with Hexnode UEM’s security policy enforcement, application management, and operating system update capabilities, it helps strengthen endpoint security throughout the runtime lifecycle.
FAQs
Vulnerability scanning identifies known security weaknesses before attackers exploit them, while runtime threat detection monitors live systems to identify attacks and suspicious behavior during execution.
Yes. Many runtime threat detection solutions use behavioral analysis to identify malicious activities such as PowerShell abuse, credential theft, privilege escalation, and other fileless attack techniques that may not rely on traditional malware files.
