Implementing effective threat detection for AWS requires visibility into all of your cloud services and containers. An application is composed of a number of elements: hosts, virtual machines, containers, clusters, stored information, and input/output data streams. When you add configuration and user management to the mix, it’s clear that there is a lot to secure!
At Elastic Security, we approach the challenge of threat detection with various methods. Traditionally, we have focused on machine learning models and behaviors. These two methods are powerful because they can detect never-before-seen malware. Historically, we’ve felt that signatures are too easily evaded, but we also recognize that ease of evasion is only one of many factors to consider.
Although a business appears to make every effort to protect its assets, there is still no security guarantee. Hackers being fully aware of this uncertainty, tend to take complete advantage by tricking users or bypassing restrictions of the technology products in use, allowing them to acquire complete access. Such perils have given rise to the necessity of having a proactive approach towards cyber security to identify, prepare and respond to events.
The goal of every cybersecurity strategy is to stop cyberthreats before they have a material impact. This has resulted in many organizations seeking to be more proactive in their response to potential threats by employing solutions to detect and prevent specific types of cyberattacks by monitoring for the earliest indicators of attacks found within network traffic.
Detecting the threat after collecting the right data is the first step. From there, the impact of the threat really matters; otherwise, security teams may be chasing after too many issues.
