This article describes the importance of endpoint protection and the types of threats an endpoint can be a victim to. It also gives insights on data leakage and offers possible solutions for protecting an endpoint.
Types of Threats
The CNNIC “Statistical Report on Internet Development in China” defined 20 types of internet usages, then classified internet users into 7 groups based on their habits, time and activities done while surfing on the web or using some applications connected to the internet. Some of these categories are Gamer, Network Businessman or Socializer. People in all of these groups may encounter various threats attempting to harm their systems or steal valuable information from them. Such threats can be fraud, attacks by virus, system overhead, false positive or prevalent malware.
Trusting third party companies (agents) with handling confidential data has several advantages: partner companies may gain access to customer data, that can be done by using the same service as the distributor (data owner). This way not only reading, but also updating and altering data in any way can be more efficient, but can also lead to worse data quality, due to perturbation. One of the main goals of the agents is to keep the data quality as high as possible while also preventing data leakage via endpoints. This means the protection of computer networks, that are remotely bridged to client devices, such as mobile phones, laptops or tablets. Many companies are trying to ensure endpoint security by using a single, multi-purpose software solution, that enables administrators to setup a centrally managed security system, but there are also several specialized products on the market. 53% of the companies, that took part in the 2018 Insider Threat report have been victims of insider attacks more than once a year, which highly emphasises the importance of the usage of proper cyber security systems.
Malware (malicious software) is by far the most dangerous type of threat and even though EPPs using the most updated signature databases used to detect such programs, they have widely spread across systems in the globe. The best way to eliminate malware in time is to use behavior-based detection, which is why EDR systems are most suited for this task.
A virus has the capability to spread from host to host and is designed to replicate itself. It is a type of malicious code or program written to alter the way a computer operates. A virus attaches itself to a legitimate program in order to execute its code and in the process, it has the potential to cause unexpected or damaging effects. This can be anything from harming the system software by corrupting data to fully destroying it.
This happens, when an antivirus program or any other security system identifies a legitimate code as illegitimate by mistake.
Endpoint Protection Systems
Endpoint Protection Platform
One of the best solutions to achieve endpoint protection is to use an Endpoint Protection Platform (EPP), which consists of several tools, that can protect our systems from unwanted intrusion, such as firewalls, antivirus systems and data encryption.
Endpoint protection platforms are software using signatures to ensure negative endpoint protection. They also have access to an own database, which stores signatures of collected threats and use it to match them with other signatures, which helps them detecting possible threats. An EPP also uses different services to monitor processes running in networks for the sake of malfunction, virus detection. Even though most attacks can be stopped by monitoring and signature matching, some viruses are still able to get in the system and that’s where the so-called Host-based Intrusion Prevention System (HIPS) takes action. It does not only wipe out malicious activities, but is also capable of deep behavioral inspection. The annihilation of threats, that already got into the system needs to be done as fast as possible, since the virus can spread really fast and take over the whole system.
Endpoint Detection and Response
This is one of the newest cybersecurity technology, which combines endpoint management solutions and endpoint antivirus systems to wipe out malicious activities. EDR are complex systems also designed to monitor the state of multiple devices at the same time in bigger security infrastructures. Since this technology uses a moderner approach to endpoint detection, machine learning also plays a huge part in the functionality of EDR systems using calculations and well-tested algorithms to catch several kinds of suspicious activities from ruining the infrastructure without the need for manually created signatures. When relying on this method, attacks can be detected not by analyzing the file system, but by interpreting and monitoring the system, focusing on its malicious activities providing stable, real-time capture and alerting solutions. Some examples of EDR technology are FireEye Endpoint Security and Symantec Endpoint Protection.
FireEye uses a signature-based endpoint protection platform (EPP) engine and also has the capability to use EDR through a behavior-based analytics engine. It is able to find threats, for which signatures do not exist yet using MalwareGuard, which is based on machine learning algorithms, that help fulfilling this task. FireEye has various different features, that can be downloaded as modules on the FireEye Market. Some features include:
- Investigating known and unknown threats on tens of thousands
of endpoints in minutes
- Identifying vectors an attack used to infiltrate an endpoint
- Determining whether an attack occurred (and persists) on a specific endpoint
and where it spread
- Establishing timeline and duration of endpoint compromises and follow the incident
- Clearly identifying which endpoints and systems need containment to prevent
Symantec Endpoint Security
Symantec Endpoint Security provides security at the endpoint for both traditional and mobile devices across the three attack phases—Pre-Attack, Attack, and Post Attack. Some of its features include Attack Surface Reduction, Attack and Breach Prevention, and Post Breach Response and Remediation. Attack Surface Reduction is based on advanced policy controls and technologies, that continuously scan for vulnerabilities and misconfigurations on the endpoint. Its Attack Prevention System uses Machine Learning and Artificial Intelligence on devices and in the cloud to detect schemes to identify evolving threats across device types. Breach prevention is used to detect suspicious activity as early as possible at the endpoint—before they have any opportunity to persist on the network.