Can machine learning improve security practices?

Are you using artificial intelligence (AI) to optimize your digital security?

Let’s take the average Human Resources department, for example. Every organization has a responsibility for ensuring the confidentiality, integrity, and availability of the data and information stored on its systems. At the same time, users interacting with that data have a responsibility to ensure the security of those assets. But what if human error occurs? Or worse, what if the organization is subject to an external cyber attack?

Systems and processes need to be optimized with digital solutions that mitigate those risks. Instead of laborious processes to manage employee data, exposing companies to internal error or intentional security breaches, machine learning has been built into Canon products to move beyond solely converting paper files to digital. Our HR digitization solutions strengthen security by replacing touchpoints where decision-making was required with smart automation. By limiting human interaction, the risk of information breach is significantly reduced. At the same time, secure print capabilities reduce the chances of document theft.

Canon’s Scan2x Solution is another example of cutting-edge technology that uses machine learning to deliver increased accuracy and security. For example, if an invoice is scanned, Scan2x will immediately: (a) know that it needs to go to the Accounts Department; and (b) forward for payment to be scheduled. Errors are reduced, and the workflow is secure. There is no risk of a secure document being sent to the incorrect recipient.

Without a doubt, the UAE is at the fore of using technology to enhance digital security. And while the Microsoft report identified that companies within the emirates view prediction (76%) and automation (76%) as the most relevant applications of AI for their businesses, it’s undeniable that security will ultimately be a driving factor to support greater operational efficiencies and increased competitiveness.