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How Does Predictive Analytics Help Reduce Cybercrimes?
Cybercrimes can be prevented leveraging artificial intelligence, which makes life easier for those attempting to stop these attacks.
Fremont, CA: Companies with limited security resources can use predictive analytics to fend off sophisticated cyber-attacks using an additional layer of security. Analyzing data to predict likely future events is a type of predictive modelling. It involves predictive future events by combining both current and historical data while keeping up with new data trends.
As a form of analytics, it was previously used in the marketing and banking industries, and now security experts are considering its potential to reduce cyberattacks. You can accomplish this in a variety of ways, including the following:
Identify User Behavior
Cybercrime software can alert you to an intrusion if a criminal steals an employee's password and breaks into the computer. Furthermore, artificial intelligence can detect different activity patterns in individuals to determine the likelihood of a stolen password.
Businesses can use predictive analytics to determine exactly what threats they face. For example, although cybercrime is a general risk to companies, some industries are more vulnerable to specific attacks. The most dangerous types of cybercrime can be determined by analyzing previous and present crimes affecting similar business types.
Streamline the Cyber Insurance Process
A data breach may be extremely costly, so cyber insurance has grown in popularity over the years. Businesses who require this form of insurance coverage can utilize AI and predictive analytics to calculate the amount of coverage needed depending on the risk of an attack. However, because understanding all of the important risk factors might be challenging, leaving forecasting to high-quality AI software is always preferable.
Physical crimes are always a worry, and predictive analytics can help identify risk factors in this area. However, while cybercrime has the potential to deplete a company's coffers and bring it to its knees, physical crimes can be brutal and devastating.
When a personal injury lawyer is brought in to investigate a crime at a place of business, the firm may suffer considerable financial losses.
AI can keep a firm safe from cybercrime and other physical crimes using predictive analytics. Data analysis, for example, can reveal security flaws and predict what types of crimes are most likely to occur in the future based on historical and present trends.