Endpoints in a network — mobile phones, laptops, tablets, etc. — are the most vulnerable points of entry for cyberattacks. As these threats become more sophisticated, traditional antivirus solutions are inadequate for effective mitigation.
That’s why organizations incorporate endpoint detection and response (EDR) tools into their network: to identify and mitigate severe cyber threats.
So, let's take a look at what endpoint detection and response is, its limitations, and some best practices.
EDR detects and responds to attacks before they infect an entire system. Organizations have multiple security layers, with antivirus as the first layer and EDR as the second. If the antivirus fails to prevent malware execution, EDR gives protection. Here’s how:
Managing EDR systems does require trained operators. That may make EDR solutions a costly option for small-sized companies.
(Related reading: EDR, XDR, MDR: what’s the difference?)
Different data sources on hackers’ radars
Since EDR tools identify both known and unknown threats, let's look at the most common threats they’re likely to detect:
EDR components vary according to the business requirements. But we've listed the standard components below:
Cybercrimes are the most severe threats businesses face. The market is estimated to hit $15.63 trillion by 2029. With these growing numbers, responding to incidents isn't enough.
That's why organizations are embracing the art of threat intelligence: to gain insights into potential and current incidents. By analyzing the data from past incidents and current threat patterns, EDR can deter future threats.
(Read our full threat intelligence explainer.)
A critical part of EDR is its monitoring capabilities. EDR continuously monitors any abnormalities in endpoints to avoid side effects. Here's how:
(Learn more about monitoring: IT monitoring & security monitoring.)
Threats may slip past the initial monitoring layer. However, internal network scanning enables the EDR to detect any lingering virus residues. Detection at different layers may disrupt network performance, so a central endpoint scans all connected endpoints.
Machine learning (ML) provides an extra defense against cyber threats. There's no doubt why the AI cybersecurity market is valued at $31 billion USD in 2024 and will continue to grow.
Endpoint detection and response incorporates deep learning to detect and respond to threats. It uses statistical methods to learn from the data and train the system to block unseen attacks.
Every organization has a different network architecture and specific needs. Some businesses might need root scanning, while others may want to scan a particular folder. So, the best EDR tools should be able to adapt to your company's environment.
As mentioned earlier, EDR solutions aren’t for every organization out there. For some it may be a matter of cost and for others, inherent limitations might be the issue.
Here are common limitations of endpoint detection and response (EDR):
Follow these best practices to improve your endpoint security and optimize your EDR implementation:
You must provide vendors with a list of capabilities you want in your EDR solution. One factor you must look for is real-time monitoring, which helps you detect the threats in the first layer.
Here are some other factors to consider:
When you implement a change to the entire network, it can affect the whole enterprise—for better or worse! So, you should test out new settings on small pilot groups.
For example, you can start with a department that is more vulnerable to threats. And keep 60 days as the ideal timeline for these tests so you can monitor the results as soon as possible.
BYOD (bring your own device) adoption showed a 68% increase in employee productivity. That's why most companies now allow their employees to bring their gadgets to the workplace.
However, this exposes the company's personal data to risk. So, organizations must create BYOD policies to protect both the enterprise's and employees' data.
Since EDR only provides endpoint security, organizations rely on SIEM for network monitoring. For that reason, they must combine these tools to enhance defense against cyber attacks.
(Splunk is a 10-time Leader in the Gartner Magic Quadrant for SIEM — see why!)
Your EDR provider will regularly release updates to improve your system's ability to detect and respond to new threats. These updates can include patches for vulnerabilities that hackers might exploit. So, automating these updates ensures your system is always running the latest version with the strongest defenses.
(Related reading: patch management.)
EDR provides a more improved solution to protect confidential data over traditional methods. However, its biggest drawback is that it only protects endpoints. In the real world, that’s just not enough. Businesses need an all-in-one solution to protect endpoints, cloud servers, and email.
That’s why XDR — Extended Detection and Response — may serve as a replacement for EDR today and certainly in the future.
See an error or have a suggestion? Please let us know by emailing ssg-blogs@splunk.com.
This posting does not necessarily represent Splunk's position, strategies or opinion.
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