|AI can be a tool to fight data security issues / Photo Credits: jaydeep_ via Pixabay|
Artificial intelligence has been particularly beneficial in the enterprise industry. However, as AI continues to improve and gain success across all industries, data security incidents are also on the rise. This affects not only every aspect of the industry but also the lives of people whose privacy is at risk.
However, AI can also be a tool to fight data security issues. Endpoint security, an approach to the protection of computer networks that are remotely bridged to client devices, has improved over the past few years. In the past, it used an anti-virus solution. Today, it uses AI for data protection from cybercriminals, which can quickly detect, block and analyze attacks and perform extensive behavioral analysis.
According to Entrepreneur, an American magazine and website that carries news stories about entrepreneurship, small business management, and business, AI in endpoint data protection can provide several benefits. This includes automatically blocking all kinds of suspicious websites and actions even before they get executed, notifying the user of any kind of unauthorized behavior, analyzing and stopping all kinds of unauthorized data transactions, and analyzing and isolating any suspicious endpoints and data processes.
Also, AI can protect data from malware or ransomware. With machine learning, the technologies can generate predictive patterns that can be used to create counter-attack measures when detecting any deviation in the patterns. Enterprises can take endpoint security to the next level using AI by developing intrusion-detection systems, offering real-time analysis and monitoring, analyzing and monitoring data patterns, providing extensive analysis of historical data, and assisting in capturing large amounts of data from various external sources.
Additionally, AI can significantly protect the data and other assets of enterprises. Currently, there are several AI tools available to help in providing predictive insights on data behavior. Using advanced AI algorithms, these tools can analyze historical data and behavioral analysis. At the same time, they can provide operational support even before the attack happens.