Early Prevention using threat detection and suppression (TDS) Threat detection generally falls into four types, each of which excels in different circumstances. Many methods of threat detection have been designed with cloud security as a priority. These types of threat detection include advanced threat detection and threat modeling methods.

Defining advanced threat Detection

Advanced threat detection is a set of evolving security techniques used by malware experts to identify and respond to persistent malware threats. These techniques usually include sandboxing, a security method that isolates suspicious files in a virtual environment.

Threat hunting is a type of advanced threat detection used to identify ongoing threats. Threat hunting monitors everyday activities and network traffic to find anomalies and ongoing malicious activity. Advanced threat detection can also include multiple threat modeling methods.

Examples of threat modeling methods

Threat modeling is a useful strategy to identify and respond to cyber threats. MITRE ATT&CK®, a globally accessible base of knowledge of attacker techniques and tactics, is an example of threat modeling. Each threat modeling process should apply threat intelligence, identify assets and mitigation capabilities, assess risks and perform threat mapping. Other threat modeling methods include the Common Vulnerability Scoring System and the Visual, Agile and Simple Threat.

Different types of threat detection

There are four types of threat detection: configuration, modeling, indicator and threat behavior. Configuration identifies threats by finding deviations to code based on known architecture. Modeling is a mathematical approach which defines a “normal” state and marks any deviations as threats.

Indicators are used to mark files or data as good or bad based on elements of information which identify these states. Threat behaviors codify the behavior of attackers for detection, relying on analysis of actions taken within a network or application. Each type of threat detection excels in different scenarios. Knowing which your business needs can help determine which threat detection tools to use.

Threat detection systems, tools and software

Threat detection continues to advance to keep up with new and evolving cyber threats. The most important aspect of any threat detection tool or software is that it works for your business. Different types of threat detection systems provide different protection, and there are many options to choose from.

The capabilities threat detection software should include

Current threat detection software works across the entire security stack, providing teams visibility and insight into threats. At a minimum, threat detection software should include detection technology for network events, security events and endpoint events.

For network events the detection identifies suspicious traffic patterns. For security events data is collected from activity across the network, including authentication and access. Threat detection for endpoints should gather information to assist with threat investigation of potentially malicious events.

Different threat detection systems

Traditional threat detection uses technology like security information and event management (SIEM), endpoint detection and suppression (EDS) and network traffic analysis. SIEM collects data to generate security alerts, but lacks the ability to respond to threats.

Network traffic analysis and endpoint detection and response are greatly effective in identifying localized threats, but cannot detect evasive threats and require complex integration. An intrusion detection system can monitor a network for policy violations and malicious activity. Advanced threat detection and response uses threat intelligence to monitor the entire system for attacks that bypass traditional threat detection.

Different threat detection tools

There are several different tools that detect and prevent cyber threats.

• Deception technology, which protects against cyber threats from attackers that have infiltrated the network.
• Vulnerability scanning, which attempts to automatically identify any vulnerabilities in application and network security.
• Ransomware protection, which identifies ransomware as it starts operation and prevents it from encrypting files.
• User behavior analytics, which tracks and assesses activity and data using monitoring systems.

Each threat detection tool is strong for a specific threat prevention. By integrating tools or using an advanced threat detection and suppression system, your business can achieve better cybersecurity.

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