Gaining access through social engineering

[Rakhiraqsdiwseo]

Whether through malicious intent, accident, or carelessness, end users like you and me are increasingly becoming the entry point for attackers into an enterprise’s internal network. Gone are the days when we worked exclusively from our offices on our desktop computers. Today, we work from our apartments, coffee shops, co-working spaces, and other public spaces on laptops, smartphones, tablets, and desktops. While this flexibility empowers the workforce, it also creates new threats. There are a number of key areas to focus on this year: social engineering attacks, user behavior analysis, and the need for comprehensive solutions to protect against external and internal threats.

While many attacks are carried out through malware and phishing, there are also growing incidents involving social engineering—when attackers trick users into revealing their credentials, such as usernames and passwords. This type of attack is attractive because, if successful, the attacker can easily impersonate a legitimate finland whatsapp data is difficult to stop with antivirus software. Using social engineering, attackers learn personal information about employees and then use that data to trick them into handing over access to sensitive corporate information. According to the Dell End-User Security Survey, about half of all employees in large and small businesses regularly visit social media on their work devices. This means they pose a risk to their employers.

While employee actions are typically not malicious, accessing social media using the same devices used to access corporate data can pose significant security risks. Once an attacker gains access to an organization’s network using credentials stolen through social engineering, they can remain on that network indefinitely, stealing valuable data or planning a larger attack while hiding from the organization that they are not who they say they are. This is where user behavior analysis comes in handy.

User Behavior Analysis
Although user behavior analysis is in its early stages, it is quickly gaining interest from a wide range of organizations. The analysis uses big data techniques. It allows organizations to identify unusual patterns that indicate who is accessing the network, where they are from, and whether they are who they say they are. If the system detects abnormal behavior, it alerts the organization’s employees, who then try to determine whether the network is being compromised. If so, they can quickly take action to repel the attackers.