Five emerging security technologies competing to threaten the data thieves

The Cyber Security Review | Sunday, December 06, 2020

FREMONT, CA: Cybersecurity is a constant and growing challenge. Although software is gradually becoming more secure and developers are creating novel approaches to cybersecurity, attackers are becoming better equipped. With the emergence of new cybersecurity technologies data defenders offer a technology solution with the latest cybersecurity technology that offers an efficient, cost effective, and time-saving approach which becomes a threat to data thieves.

1. Hardware Authentication

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The term hardware authentication refers to a security system that uses a hardware device to grant access to users. Hardware authentication is used mostly for computer systems and networks to protect sensitive data. It relies on a physical device held by an authorized user, in addition to a basic password, to grant access to computer resources, that is,it requires a temporary cyptographic code in addition to a password to gain access to a computer resource. Without the code, a hacker will not get access to a protected system. However the inadequacies of username and passwords are well known. Clearly, a more secure form of authentication is needed. Intel is coming with an authentication solution in its new, sixth generation Core vPro processor. It can combine a variety of hardware enhanced factors, at the same time to validate a user’s identity. Good authentication requires three things from users: what they know (a password), who they are (a username); and what they have, such as a token. “This isn't new,” said Scott Crawford research director for information security at 451 Research. “We’ve seen this in other manifestations, such as licencing technologies and tokens”, he added. According to Crawford the most immediate application for the technologies for authenticating an endpoint in the traditional IT environment-laptops, desktops and mobile devices using Intel chipsets.

2. User Behavior Analytics (UBA)

UBA focuses on the activities of the user. It focuses on activities like; apps launch, network activity, and, most critically, files accessed (when the file or email was touched, who touched it, what was done with it and how frequently). UBA technology identifies unusual or anomalous behavior- regardless of whether the activities are coming from a hacker , inside or even malware or other processes. It can quickly spot their work and minimize damage. So the answer for why UBA is that the hackers may literally have keys to obtain or guess a password of remote login. They are easily able to go around and get inside. They can enter through legitimate public ports (email, web, login) and gain access as users. Any clever hacker can use malware that isn't spotted by antivirus software. In fact, to an IT admin who is just monitoring their system activity- by examining apps used, login names etc -the hackers appear as just another user and that is why you need a UBA. UBA uses ‘peer analysis technique to compare how someone is behaving compared to people with the same manager or same department. This can be an indication that the person is doing something they should not be doing. In addition, UBA can be a valuable tool for training employees in better security practices.

3. Data Loss Prevention

Every organisation,regardless of its size or industry needs a data loss prevention (DLP) strategy to prevent data from being improperly accessed or deleted. Akey to data loss prevention is technologies such as encryption and tokenization which can benefit an enterprise in a number of ways:

• Cyber attackers cannot monetize data in the event off a successful breach.

• Data can be securely moved and used across the extended enterprise.

• The enterprise can be greatly aided in compliance to data privacy and security relations for protection of payment card information (PCI) and protected health information (PHI).

4. Deep Learning

Deep learning is a subset of machine learning. Deep learning allows machines to solve complex problems even when using a data set that is very diverse, unstructural and interconnected. Just like how humans learn from experience, the deep learning algorithm performs a task repeatedly, each time tweaking it a little to improve the outcome. Virtual assistants, Translations, driverless delivery trucks, drones and autonomous cars use deep learning algorithms.

5. The Cloud

The term cloud computing means storing and accessing data and programs over the internet instead of using the computer's hard drive. Cloud storage involves stashing data on hardware, which can be accessed from any device via the internet. “ The cloud is going to have a transformative impact on the security technology industry generally”, said Crawford. He explained that as more organizations use the cloud for what has traditionally been the domain of on-premises IT, more approaches to security that are born in and for the cloud will appear. The cloud helps to store and backup data which can be accessed from anywhere. Cloud storage also eliminates the need to pay for software licenses and updates.

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