Phishing has been a constant issue across the global community. The approach has primarily been related to most attackers gaining access to sensitive information about users. Lack of awareness is among the main factors that result in successful phishing attacks. There are different types of phishing attacks available. However, cybersecurity specialists have developed algorithms that have effectively prevented phishing attacks. The report below includes information on anti-phishing algorithms that can detect phishing attacks. The algorithms include different technologies and capabilities that promote safety for most individuals. The paper focuses on describing each of these concepts and how they promote cybersecurity across the globe.

There has been tremendous growth in the field of AI and machine learning. The developments across these fields have resulted in a considerable increase in other FinTech fields. Cyber security has been described as an essential part of the developments associated with technology. Increased cyber security ensures that people remain protected, and that data remains safe. New methods have been integrated into developing AI that achieves cyber security. The data analysis capabilities of AI and its cyber security functions have ensured that privacy has increased significantly. The ethical concept associated with data privacy has also been advocated across most FinTech regulations. These concepts and considerations have all been engaged with the need to achieve the required ethical requirements. The concept of federated learning is a recently developed measure that achieves the abovementioned concept. It ensured the development of AI and machine learning while keeping privacy in data analysis. The research paper effectively describes the issue of federated learning for confidentiality. It describes the overall process associated with its development and some of the contributions it has achieved. The widespread application of federated learning in FinTech is showcased, and why federated learning is essential for overall growth in FinTech.

Internet usage has increased quickly, particularly in the previous decade. With the widespread use of the internet, cybercrime is growing at an alarming rate in our daily lives. However, with the growth of artificial intelligence (AI), businesses are concentrating more on preventing cybercrime. AI is becoming an essential component of every business, affecting individuals worldwide. Cybercrime is one of the most prominent domains where AI has begun demonstrating valuable inputs. As a result, AI is being deployed as the first line of defense in most firms' systems. Because AI can detect new assaults faster than humans, it is the best alternative for constructing better protection against cybercrime. AI technologies also offer more significant potential in the development of such technology. This paper discusses recent cyber intrusions and how the AI-enabled industry is preparing to defend itself in the long run.

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We are on the verge of the Fourth Industrial revolution, in which digitalization, data analytics, and insights play a critical role in our daily lives. The COVID-19 outbreak has created unprecedented uncertainty for many firms. Healthcare organizations across the care continuum were confronted with new difficulties, forcing them to learn swiftly, adapt, and reinvent the way they offer traditional care. As a result, the notion of cost-effective, anytime, and anyplace care has entered the mainstream, forever altering the rate at which we obtain healthcare. As a result, healthcare industries across the globe started to rethink their tactics to be ready for the future and this new breed of customer demand. With rapid technological evolution, this paper analyzes the trends and recent shifts in the healthcare industry and how it is trying to be more customerresponsive by using emerging technologies.