AI and ML in data security act as a blessing for businesses of all sizes, ensuring information security from any external threats.
Artificial intelligence or AI is a technology that focuses on making intelligent machines that can assist and automate processes. AI tries to make software think like how a human brain thinks, with the help of algorithms. In simpler terms, AI’s mission is to implement human intelligence in machines. Machine learning is a subset of AI; it allows machines to predict outcomes accurately without having to be provided with algorithms and to learn from its users how they expect it to function. The primary mission of ML was to work on algorithms that make a machine capable of receiving information and statistically analyzing data, providing acceptable outputs. Organizations are leveraging ML on a vast scale and Gartner suggests, “By 2021, customers will manage 85% of their relationship with the enterprise without interacting with a human”. With an increase in sources of incoming data, industry pioneers are still on their toes to ensure adequate security of their information. Data is considered to be one of the most crucial assets that an organization holds, as businesses store all types of information from customer credentials to employee database to past ventures, which an organization does not want to be public. Such information when hacked can cause brutal damage to the reputation of an organization. AI and ML in data security could be technologies that can help organizations in achieving their goal of safeguarding their information.