![]() A key point: Machine data and observabilityĭata-drive visibility is derived from machine data.For all of this, we need to turn to data to find meaning, often called data-driven visibility in real-time, required to maximize positive outcomes while minimizing or eliminating issues before they happen. Be it a network or security-related incident. This empowers you to get to the root cause more quickly. The big difference between traditional network visibility and distributed systems observability is between seeing and understanding what’s happening in your network and, more importantly, understanding why it’s happening. System observability and data-driven visibility Adding content to previously unstructured data will allow you to extract all sorts of valuable insights, which can be helpful for security, network performance, and user behavior monitoring. All of which is done against machine data that multiple tools have traditionally gathered is stored in separate databases. This is where machine learning (ML) and multiple analytical engines detect and respond to suspicious and malicious activity in the network. ![]() Starting Network Visibility Network visibility solutionsĬombating the constantly evolving threat actor requires good network analysis and visibility along with analytics into all areas of the infrastructure, especially the host and user behavior aligning with the traffic flowing between hosts. Diagram: The challenges of network visibility tools. It then ingests the data and applies normalization and correlation techniques with some algorithm or statistical model to derive meaning. It does this by gathering as much data as possible, commonly known as machine data, from multiple data points. So distributed systems observability goes hand in hand with networking and security. Remember, those performance problems are often a direct result of a security breach. A key point: Security threats with network analysis and visibility.This lets you devise new defenses before a hacker can breach your organization’s network. Once you learn to think like a hacker, you can anticipate future attacks. Some essential security aspects stem from understanding bad actors’ strategies, methods, and motivations. In addition, bad actors are continually creating new attack techniques, writing new exploits, and discovering new vulnerabilities. There is no perfect defense because hackers can bypass, compromise, or evade almost every safeguard, countermeasure, and security control. Your network and valuable assets are under internal and external threats, ranging from disgruntled employees to worldwide hackers. A key point: Back to basics with network security.
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