4 Cisco Stealthwatch Programmability Explained
1. Flow Monitoring and Analysis
Flow Monitoring and Analysis in Cisco Stealthwatch involves capturing and analyzing network traffic flows to gain insights into network behavior. This includes identifying patterns, detecting anomalies, and understanding traffic trends.
Example: Think of flow monitoring as a traffic camera on a highway. Just as a traffic camera captures vehicle movements to analyze traffic patterns, Stealthwatch captures network flows to analyze traffic patterns and detect anomalies.
2. Behavioral Learning
Behavioral Learning in Stealthwatch uses machine learning algorithms to understand the normal behavior of network devices and users. This helps in identifying deviations from the norm, which could indicate potential security threats.
Example: Consider behavioral learning as a security guard who learns the routine of employees in a building. Just as the guard notices unusual behavior, Stealthwatch notices unusual network behavior that could indicate a security threat.
3. Programmable APIs
Programmable APIs in Stealthwatch allow developers to integrate Stealthwatch with other systems and automate security operations. These APIs enable the creation of custom scripts and applications to enhance network visibility and threat detection.
Example: Think of programmable APIs as a universal remote control. Just as a remote control can operate multiple devices, programmable APIs can integrate Stealthwatch with various systems to automate and enhance security operations.
4. Threat Hunting and Response
Threat Hunting and Response in Stealthwatch involves proactively searching for potential security threats and automating responses to mitigate them. This includes using advanced analytics and machine learning to identify and respond to threats in real-time.
Example: Consider threat hunting as a detective searching for clues. Just as a detective uses clues to solve a case, Stealthwatch uses advanced analytics to hunt for and respond to security threats in real-time.