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46 changes: 1 addition & 45 deletions docs/detections/detection-engine-intro.asciidoc
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Expand Up @@ -84,52 +84,8 @@ In addition, the following support restrictions are in place:
<<detections-permissions-section>> provides detailed information on all the
permissions required to initiate and use the Detections feature.

[discrete]
[[malware-prevention]]
== Malware prevention

Malware, short for malicious software, is any software program designed to damage or execute unauthorized actions on a
computer system. Examples of malware include viruses, worms, Trojan horses, adware, scareware, and spyware. Some
malware, such as viruses, can severely damage a computer's hard drive by deleting files or directory information. Other
malware, such as spyware, can obtain user data without their knowledge.

Malware may be stealthy and appear as legitimate executable code, scripts, active content, and other software. It is also
often embedded in non-malicious files, non-suspicious websites, and standard programs — sometimes making the root
source difficult to identify. If infected and not resolved promptly, malware can cause irreparable damage to a computer
network.

For information on how to enable malware protection on your host, see <<malware-protection, Malware Protection>>.

[discrete]
[[machine-learning-model]]
=== Machine learning model

To determine if a file is malicious or benign, a machine learning model looks for static attributes of files (without executing
the file) that include file structure, layout, and content. This includes information such as file header data, imports, exports,
section names, and file size. These attributes are extracted from millions of benign and malicious file samples, which then
are passed to a machine-learning algorithm that distinguishes a benign file from a malicious one. The machine learning
model is updated as new data is procured and analyzed.

[discrete]
=== Threshold

A malware threshold determines the action the agent should take if malware is detected. The Elastic Agent uses a recommended threshold level that generates a balanced number of alerts with a low probability of undetected malware. This threshold also minimizes the number of false positive alerts.

[discrete]
[[ransomware-prevention]]
== Ransomware prevention

Ransomware is computer malware that installs discreetly on a user's computer and encrypts data until a specified amount of money (ransom) is paid. Ransomware is usually similar to other malware in its delivery and execution, infecting systems
through spear-phishing or drive-by downloads. If not resolved immediately, ransomware can cause irreparable damage to an entire computer network.

Behavioral ransomware prevention on the Elastic Endpoint detects and stops ransomware attacks on Windows systems by analyzing data from low-level system processes, and is effective across an array of widespread ransomware families — including those targeting the system’s master boot record.

For information on how to enable ransomware protection on your host, see <<ransomware-protection>>.

NOTE: Ransomware prevention is a paid feature and is enabled by default if you have a https://www.elastic.co/pricing[Platinum or Enterprise license].

[float]
=== Resolve UI error messages
== Resolve UI error messages

Depending on your privileges and whether detection system indices have already
been created for the {kib} space, you might get one of these error messages when you
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Expand Up @@ -55,7 +55,7 @@ to create a new trusted application, find **Trusted applications** in the naviga
[[malware-protection]]
== Malware protection

{elastic-defend} malware prevention detects and stops malicious attacks by using a <<machine-learning-model, machine learning model>>
{elastic-defend} malware prevention detects and stops malicious attacks by using a machine learning model
that looks for static attributes to determine if a file is malicious or benign.

By default, malware protection is enabled on Windows, macOS, and Linux hosts.
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