The platform of Intelligent Automation (IA) is gaining momentum in the corporate world. It helps in optimizing data processing, reducing errors and automating repetitive tasks, which, in turn, helps organizations to scale up their operations. The power of Artificial Intelligence (AI) and Machine Learning (ML) is leveraged by IA, providing predictive analytics and data-driven insights that can unlock competitive advantages and business opportunities. It helps organizations to adapt to evolving business processes and requirements by enhancing flexibility and scalability. In this article, you will get to know how intelligent automation will leave behind the robotic process automation (RPA) platform . The need to go beyond Robotic Process Automation (RPA): Following are a few limitations of RPA due to which there is a need to go beyond RPA: 1. Inadequate capabilities: Those tasks that require human interaction need to be aligned with RPA bots. Tasks such as negotiating with
Cloud vulnerability testing is a specific process of prioritizing, classifying and identifying vulnerabilities in a cloud computing environment. The environment's security is improved through this testing method as the risk of exploitation of vulnerabilities is drastically reduced. Cloud performance testing can be performed both manually or through the automated mode. In this article, you will get to know about the tactical relevance of cloud vulnerability scanning. What is cloud vulnerability scanning? It is a specific process wherein security risks are identified in cloud-based infrastructure and applications. Specialized security tools are performed by the cloud vulnerability scanning method, wherein common vulnerabilities, such as cross-site scripting (XSS) are automatically identified . The strategic importance of cloud vulnerability scanning: As sensitive data is stored by organizations in the cloud, it has become a popular target for attackers. Cloud-base