October 1, 2022

Cybersecurity Dashboards: Three Developments Fueling Development

Awareness current best practises and approaches for securing networks and data requires an understanding of the development of cybersecurity dashboards.

In some ways, it’s ironic that more “data about data,” as some experts jokingly refer to metadata, will protect important data assets like customer identifiers and trade secrets, but in actuality, having the right raw data and the right user interface gives business leaders insights that can really be the meat and potatoes of contemporary cybersecurity efforts.

In light of this, let’s take a more contemporary look at what suppliers and others are doing at the moment. The following three developments in cybersecurity dashboards are ones to look out for in 2022:

Dashboards for AI

Companies are using new AI technologies to guide cybersecurity frameworks and operations in addition to viewing aggregated security data. (Also read: The Future of Hacking is Here: AI in Cybersecurity.)

In order to perform quality testing, the majority of the better AI-powered cybersecurity dashboards benefit from a “human-in-the-loop” (HITL) component. However, with the right convergence and targeting, AI can be very useful in cybersecurity, a data-rich field that many experts liken to a sophisticated game of whack-a-mole.

According to Forbes’ Bernard Marr, two of the main reasons why AI may be helpful for cybersecurity efforts are its capacity for prediction and forecasting as well as its ability to handle a larger and more varied field of threats and assaults. In systems that must handle thousands of events occurring every second, which is often where hackers would attempt to hit, Marr says that “AI implies [current cybersecurity work] can be done in systems that need to deal with AI.”

This demonstrates how AI opens up new possibilities for comprehending and using the sophisticated “control panels” of dashboard systems’ security data sets. Many tasks that would have normally needed to be completed by people may effectively be automated using these techniques. The end product may shorten dwell time, eliminate dangers, and improve reporting.

Visualization of contextual data

Contextual data visualisation, which resembles AI-driven cybersecurity in some aspects, is also being studied by experts.

Data visualisation essentially entails systems gathering data and displaying it in easily understandable ways, revealing context and offering hints for security investigators looking for weaknesses and vulnerabilities while noticing unusual network activity or other signals of an impending danger.

“A method for contextual data visualisation involves receiving data chosen by a user and metadata connected with the data,” the patent summary for this technique reads. A processor on a computer device analyses the data to identify its content and structural characteristics that are important for the display of the data. The context in which the data visualisation will be utilised is determined by analysing the metadata using the computing device’s CPU.

Within a database, contextual data visualisation is also possible. According to the same description, “A database comprised of an aggregation of visualisation records from a plurality of users is accessed and at least one template from the data visualisation records that fits the data characteristics and context is chosen. Applying at least one template to the data results in the creation of a data visualisation.

In other words, the system collects data from several users, organises it using a template, and then curates it. A number of new cybersecurity dashboard tools are designed with this larger idea in mind.

Security That Is Human-Centered

People who are familiar with the state of cybersecurity want to improve it on all fronts. These developments are related to the aforementioned smart dashboard activities and more.

The Cybersecurity and Infrastructure Security Agency (CISA) issued a news release on the promotion of multi-factor authentication (MFA) as a method of managing user access. This user access is sometimes referred to as the “people component” of the system, where users must have access in order to do their duties but where nefarious insiders might cause havoc on a network. (Read more about preventing internal security breaches in Insider Threat Awareness.)

MFA is a highly complementing standard for the high-tech data sets that will serve as cybersecurity command centres since it helps safeguard credentials and improve identity and access management.

Conclusion

Businesses are still advancing cybersecurity platforms.

The idea of data visualisation has been around for a while, but new technologies, like AI, are still being attached to it in order to automate and enhance network security and accomplish more.

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