As digital transformation continues to influence every industry, the need for robust security technologies has never been greater. For this reason, it’s no surprise that the global security market is expected to reach $274 billion by 2023. With so many security products and services on the market, knowing which ones are right for your organization cannot be easy. The following are the most promising emerging security technologies for making the best business decisions:
Data Loss Prevention
Data loss prevention (DLP) is a process for protecting data from unauthorized access, use, disclosure, alteration, or destruction. It protects both physical and electronic data. One of the most common ways data is lost or stolen is through email. DLP solutions can help prevent data loss by scanning outgoing emails for sensitive information and blocking sending the email if it contains sensitive data.
User-behavior analytics is a security technology that uses data collected from user interactions to identify and mitigate potential threats. It can flag abnormal behavior that could indicate a malicious actor by tracking login attempts, mouse movements, and keystrokes.
One of the benefits of UBA is that it detects threats that traditional security measures might miss. For example, if a malicious actor uses a stolen password to log into a system, it flags the login attempt as suspicious and takes action accordingly.
Cloud security is a critical concern for businesses of all sizes. By moving to the cloud, companies can reap many benefits, such as increased efficiency, scalability, and agility. However, the cloud also introduces new security challenges. The good news is that several emerging technologies can help businesses secure their data and applications in the cloud.
As organizations embrace digitization, the need for secure authentication mechanisms becomes increasingly important. Hardware authentication is one such method that relies on physical devices, like a USB drive or key fob, to provide an extra layer of security. The type of authentication collaborates with other methods, including passwords or biometrics, to provide a complete security solution.
Deep learning is a type of machine learning that enables computers to learn from data with minimal programming. Deep learning algorithms are composed of multiple layers, each representing a progressively higher level of abstraction. For example, the first layer might represent individual pixels in an image, the second the patterns that those pixels form, and the third the object in the image.
The above are the top five emerging security technologies set to change the battlefield. If your business embraces digital transformation, you need to be aware of the potential risks and have a plan to mitigate them. The best way to do this is to invest in the latest security technologies.