Data breach is becoming a norm in cyberspace. It is found in most technology sections in recent years. Many data breach cases left thousands of people vulnerable after their information were hacked. In the age of cyberhacking, predictive software offers a way to improve cybersecurity.
Prevalence of Cyberhacking
In the first half of 2016, there were about three million data stolen or lost according to CyberTek. Additionally, the Federal Bureau of Investigation disclosed that there are more than 4,000 reported cases of ransomware attacks every day. The year 2016 also saw the highest number of malware-containing emails infecting devices around the world.
Data security professionals point the rise of hacking to the improving method hackers use in their activities. This is the reason why the industry and experts are calling on their colleagues to come together and devise a way to counter the rise of data breach and other cybercrimes.
The growing adoption of the Internet of Things could make things worse. The data security community is looking into various options to prevent further increase in the number of attacks online. Predictive analytics is one of those. It offers a preventive measure to get rid of hackers even before they attack.
What is Predictive Software?
Predictive analytics is defined as a method capable of forecasting future outcomes and trends by extracting information from data sets. The method makes use of algorithm, machine learning, and data to arrive on a prediction.
The use of machine learning and predictive analytics is seen by security professionals as a way to improve data security. Predictive analytics is embraced by many organizations and businesses due to various potentials. The technology’s feature of analyzing and extracting information from data sets allows these organizations and businesses to know more about the hackers, probability of threats, levels of security, and ways to safeguard data from these attacks.
Machine learning also promises a significant contribution to improving data security. Industry insiders claim that this technology when coupled with predictive analytics can open a new era in data security protection. As predictive analytics is only limited to predicting patterns and future trends, machine learning offers the “action” side of data security. Machines are capable equipment in working day and night. It is this feature that will allow them to process and analyze data. Data gathered and analyzed would then be used to improve security measures on data storing.
Benefits of Using Predictive Software
Data security experts said the use of predictive analytics in ensuring data safety managed by your company has the following benefits:
A preventive measure – the use of predictive technologies means that you are taking a proactive approach to hacking. Predictive analytics is capable of delivering future trends and outcomes. Data from this software is useful in preparing a data security strategy for your company.
It is capable of handling huge amounts of data – As previously stated, many devices are connected to the Internet. This makes it easier for millions of people to share confidential information. Given that, hackers also have more targets to prey on. The use of predictive programs can easily analyze the workings of hackers and prevent attacks even before they strike.
Competitive advantage – People are becoming warier on sharing private information online. A company dedicated to protecting their customers from data breach is a step in the right direction. Predictive analytics provide significant help as it enables your company to prepare even before a cyberattack.
It is automated – There is no need to employ dozens of people to run this technology. While there is a need for a professional to interpret data it produced, it mostly runs on its own. It is capable of collecting, analyzing, and producing reports useful to prevent hacking and other security breaches.
Posts by SpeakBindas Editorial Team.