Do you know that – around 832 million samples of malware are roaming in today’s CyberWorld. Enterprises are always at constant risk of being getting targeted or affected. After surveying the current Cyber threat landscape situation, we found that the attack complexity and stealth have increased in an exponential manner over last few years. Well, there is something interesting to hear! This blog provides information about how the endpoint security solution is originated to ensure prevention against malware, cyber threats and data privacy.
“The cloud data security experts agree that 99% of malware could be detected by endpoint security methods and technologies. In majority cases, it is only 1% where these solutions become cause for data exfiltration, data breaches, and cybercrime.”
The traditional endpoint security solutions is originated to ensure multi-layered kind of prevention against malware, frauds on internet, Cyber threats, and all those incidents that extort data privacy. From the technical point of view, this comprises of monitoring procedures to determine threats on unexceptional behavior of applications or unusual activity. For example – Some of the internet threat tries to inject harmful code into the legitimate procedures like explorer.exe file, for execution of malicious code with privileges of that procedure. This demands for an endpoint security solution to stop this action and revert back this malicious activity.
The security methods render score of each procedure that is dependent upon the assessment of whether each operation executed is harmless or malicious. If the total of this calculation exceeds the normal value of the threshold, application will be instantly terminated and all troubleshooters will be executed. Well, this was just one of the examples to demonstrate the work of process-monitoring security technology. It constantly analyzes the behavior of working applications, and recent solutions for endpoint security can rely on this to move a step further. Security solutions’ developer needs to enforce several security layers, which are popularly augmented for machine learning algorithms.
There is real fact regarding the endpoint security methods (which necessarily needs to be known to online users) i.e., Most of the cloud data protection technologies are perfect at the time of defending endpoints from malware and app-based attacks. But, they are limited when it comes about advanced and sophisticated attacks, which are particularly targeted over a single enterprise or person of the respective firm.
The emergence of advanced and sophisticated threats took place for evading detection through traditional security solutions. In general, hackers perform a huge surveillance activity over their victim’s work. Their purpose is to address that one hole from where cybercriminals can enter into their victim’s computer. For this, they try to read about the target computer configuration, policies, data access controls, and even the deployed security approaches. There is a lot of struggle faced with the traditional endpoint security applications when they are used with fileless malware attacks. It happens because rather than product installation on victim’s PC, fileless threats acquire control over the products that are built into the Windows for infiltrating a system or network. In a business, therefore, there is a demand for detection and response for the evolution of endpoint security.
Its true that endpoint security solutions aren’t equipped with detection features but, they are now necessarily required. The importance of this can be understood after reading the following example:
“Suppose employees might expose their account credential due to a phishing attack or any other reason. Through this, they enable hackers to leak the confidential infrastructure details without deploying any malware or any other kind of advanced attacks. Successfully, the attacker is having access to internal data of victim’s PC, and if targeted, he or she can also install a product that enables him or her to achieve full control over the targeted computer.”
When an Endpoint security solution with detection and response functionality will be used, it will be possible to deal with these kinds of threats. It has the facility to flag user logins, even when its weekend hours in office. Immediate report will be sent to concern authority if in case something unusual has been detected by EDR software. It is a powerful post-investigation product for a situation where organizations face data breach. An EDR application helps IT as well as cloud data security team to follow a network chain all the time. Each and everything from user login data to the software updates of accessed documents is audited and then, reported in a centralized management console platform. This provides a full image of operations attempted by users in a business.
The next-generation endpoint security solution marries with the prevention, detection, and responsive technique. All of them have the capability of performing triage on protection events. The concept of Machine learning with AI is the core component in providing this kind of solution. Enterprises with complex architecture must deploy a consolidated platform, which determines potential security incidents and active security incidents. Lots of precious time can be saved from wastage, after adopting this kind of trending endpoint security solution.