The war between information technology companies and data thieves dates back to the blooming period of the IT industry. It is a never-ending combat between good and evil and when the data defenders fail, the information systems and technology suffer heavy losses. The number of security threats to information technology systems keeps increasing every day, and several security solutions are developed to survive in this challenging environment.
Given below are some of the security technologies.
Usernames and passwords come with several loopholes that can open the doors to a security breach attack. In an effort to develop a better form of authentication, the idea of incorporating authentication into the system hardware evolved. Intel has already adopted this strategy in its new sixth-generation Core vPro processor. It combines a number of hardware-enhanced factors for user identity validation.
The ideal authentication strategy asks three things from the users, namely, username, password, and a token of identity. The hardware authentication method uses the device itself as the token. IoT networks involve several digital devices interacting within a network, and an appropriate hardware authentication technique is important in an IoT network. A typical IT environment with desktops, laptops, and mobile devices has the greatest need for hardware authentication.
Analytics of User-Behavior
Unauthorized access to user name and password permits the entry of an attacker into a network. If the data defenders use the User Behavior Analytics (UBA), malicious behavior by the attackers will generate an alert announcing the attack.
UBA helps to differentiate the behavior and activity of a legitimate user and an attacker that gained illegitimate entry. The activities of an attacker do not fit into the norms of a legitimate user and UBA offers visibility to these activities.
UBA has several methods that make it successful in recognizing an attack. A comparison of the present behavior of a user to his/her past behavior is a method used in UBA. There is another popular method called peer analysis in which the behavior of a user is compared with his/her peers, who are people working under the same manager or in the same department as that of the user. A variation in the behavior of the user and his peers indicate that the user got involved in some malicious activity or somebody else got access to the user’s account.
Employees that are unaware of security practices recommended by the company increase the risk of a security breach in that company. Identifying these employees and giving them the required training is important to avoid possible chances of security attacks in the company, and UBA is an effective tool to train the employees well.
Prevention of Data Loss
Tokenization and encryption are the key tools in the prevention of data loss. The prevention of data loss using these tools offers several benefits to the enterprise and they are:
- Even If cyber attackers succeed in causing a data breach, they cannot monetize the data.
- Data can be moved across the enterprise in the protected form itself, and the business processes can be performed on the protected data form. This successfully minimizes the exposure of data and the risk of its loss or alteration.
The growing interest in encryption is the reason behind the increase in security spending over the years.
Deep learning incorporates several technologies like machine learning and artificial intelligence. Deep learning is similar to UBA because both focus on the detection of anomalous behavior. But UBA and deep learning do that in different ways. When UBA looks for user behavior, deep learning looks for the behavior of various macro and micro-level entities. An example is a data center that has a particular behavioral pattern like that of a human user.
Machine learning can differentiate between good and bad software within a very short time, and this helps security experts seeking quicker ways of threat detection.
The cloud systems have the power to transform the security technologies, and more and more organizations are getting into the cloud platform. This growing popularity of the cloud systems predicts the transition of several on-premises technologies like firewalls, virtual security hardware, and systems for intrusion detection that are all virtualized.
Using Security Assertion Markup Language (SAML), the data in the cloud can be encrypted and corralled.
Virtual Dispersive Networking (VDN)
This is an effective method to tackle man-in-the-middle attacks that crack traditional encryptions and attack intermediate nodes. In VDN, the message is broken down into several parts before encrypting and routing them on different paths. This makes it tough for the attackers to find all the parts of the data and assemble them.
When the world of information technology expands its limits, more loopholes are created in security, increasing the possibility of attacks. When the attackers increase their skill set and expertise, security defenders have to come up with newer security solutions to keep one step ahead of the attackers.