Artificial intelligence (AI) and machine learning (ML) technologies are other trends in RASP market. Improved algorithms enable these solutions to learn about new threats faster hence making them more effective at detecting and preventing attacks. There exist AI/ML algorithms that monitor application behavior looking for anomalies hence offering up-to-the minute threat information or intelligence whenever there is an attack thereby improving applications’ safety.
Additionally, another trend in the RASP market is cloud-based adoption of RASP solutions. With increased computations being shifted to cloud systems, there arises a need for native-cloud based securities. They can be scaled easily, deployed quickly and offer great flexibility which makes them attractive to companies big and small alike. Moreover, they allow central management & control on top of simplified security management process.
Furthermore, increased awareness concerning compliance rules & regulations has accelerated the growth rate of this market segment; 2). Various industries such as banking sector, healthcare services industry along with e-commerce platforms now operate under intensified surveillance over data protection plus privacy rights tenure issues where RASP chips come handy since they provide live updates on all flaws within applications thus leading to guaranteed compliance with various code names having to do with anti who hacks regulations.
Lastly, another trend in the RASP market relates to its broadened scope of application. Initially, RASP was mostly used for web applications. However, with the increased use of mobile applications and the internet of things (IoT), there has been a demand for RASP solutions to be used in these areas too. As the number of mobile devices increase and more IoT devices are introduced into use, it is even more important that robust application security is put in place thereby increasing the size as well as widening market coverage of RASP industry overall."
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