Thank you for Subscribing to CIO Applications Weekly Brief
What Impact Does Predictive Analytics Have On Cybercrime?
Predictive analytics can assist businesses in determining exactly what dangers they face. While cybercrime should always be a general danger to businesses, some industries are more prone to specific attacks.
Fremont, CA: Predictive analytics can be used as an additional layer of security to help companies with limited security resources fend off sophisticated cyber-attacks.
Predictive modeling is a sort of data analytics that assists in predicting likely future events. It entails using both current and historical data to predict future events while staying on top of new data trends. This form of analytics has previously been employed in the marketing and banking industries, and now security experts are looking into how it may assist reduce cyber attacks. This can be accomplished in a variety of methods, including the ones listed below:
Identifies User Behavior
If a criminal steals an employee's password and uses it to break into a computer, cybercrime software can alert you to the intrusion. Furthermore, AI can detect different activity patterns in individuals to determine the risk of a stolen password. Everyone has their unique usage habits, and AI can learn about employees' activities to identify any potential security violations by others.
Predictive analytics can assist businesses in determining exactly what dangers they face. While cybercrime should always be a general danger to a company, particular industries are more susceptible to specific attacks. The most dangerous sorts of cybercrime can be isolated using analytics based on similar prior incidents.
Streamlines Cyber Insurance
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.
Crimes in the physical world are always a worry, and predictive analytics can help identify risk factors in this area. Physical crimes can be violent and cause bodily injury, whereas cybercrime can drain an organization's funds and bring it to its knees.
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.