Wete and Company Explains How AI Can Prevent Data Breaches

354
SHARE
Wete and Company

Wete and Company is an IT consulting firm in Laurel, Maryland, and CEO Dorothy Wete is guest contributor for this article. Below, Wete and Company explains how the advancements in AI can prevent future data breaches in digital landscapes.

Findings from a report published in early November 2022 suggest that experts have developed and successfully tested an AI application that can automatically detect vulnerabilities in digital privacy protection protocols. By analyzing previous query-based systems attacks, developers were able to replicate the process and apply it to improving existing security systems.

Now, for the first time ever, Wete and Company says that operators can quickly identify possible sites for QBS attacks and work to prevent vulnerabilities at the touch of a button. This has the potential to greatly strengthen existing security measures and prevent future data breaches. Wete and Company explains below how the AI program works and how it will help to fight against future data breaches.

Understanding Query-Based Systems Attacks

In order to understand how the AI program works, it is first necessary to understand query-based systems (QBS) attacks. Wete and Company explains that these are a type of cyberattack in which hackers send out a large number of queries to a target system in order to overload it and cause it to fail. This can be done by exploiting system vulnerabilities or simply overwhelming it with requests.

QBS attacks can have a number of devastating consequences. They can cause entire systems to crash, which can lead to widespread disruption and loss of service. They can also be used to steal sensitive data or to mount other attacks on the target system. Dorothy Wete reports that this leads to a cascading effect, leaving entire data troves exposed to exploitation.

In the past, QBS attacks have been used to successfully carry out a number of high-profile attacks, including the distributed denial of service (DDoS) attack on the BBC in 2015 and the attack on OVH in 2016. In the years since, privacy experts have been working to prevent similar incidents and, thankfully, it now seems that may be a solution.

Wete and Company on How the AI Program Works

The AI program, known as QuerySnout, works by analyzing previous QBS attacks and replicating the process in order to improve existing security systems. By understanding how these attacks work, the developers of the program were able to create an application that essentially replicates an attack to detect vulnerabilities in security protocol systems automatically.

The program is designed to be used by operators of digital systems in order to quickly identify possible sites for QBS attacks. Once a potential attack site has been identified, the operator can then work to prevent vulnerabilities by correcting and closing the gap in the protocol.

The program is still in the early stages of development and is not yet available to the general public. However, the developers are hopeful that it will soon be widely adopted in order to help fight against future data breaches.

Wete and CompanyQuerySnout is Sure to Become a Necessity as QBS Systems Become Engrained in the Digital Landscape

As the world becomes increasingly reliant on large-scale data storage, Wete and Company says that it is likely that QBS systems will become more engrained in the digital landscape. This, in turn, will make data breaches more common and more damaging. In light of this, it is clear that a program like QuerySnout is necessary in order to prevent future attacks.

If such a system can be successfully implemented, it has the potential to greatly reduce the occurrence of data breaches. In turn, this would lead to a decrease in the amount of disruption and damage that these attacks can cause. As such, the development of QuerySnout is sure to be a positive step in the fight against cybercrime.

Furthermore, this development comes at a crucial turning point when the incidence of cybercrime is at an all-time high. The past five years have seen a number of high-profile data breaches, including the Equifax breach that affected over 145 million people. Wete and Company explains that with attacks becoming more common and more damaging, it is clear that something needs to be done in order to prevent future incidents.

Final Thoughts

The QuerySnout AI program has the potential to be a major step forward in the fight against cybercrime. By automatically detecting vulnerabilities in digital systems, it can help to prevent future attacks and to protect the sensitive data of millions of people. Wete and Company explains that this development will likely propel data security into the future and stave off attacks for the time being.