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.

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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Cybersecurity awareness training plays a dynamic role for organizations in certifying resources' accessibility. This paper determines the correlation between an employee's risk score and the effectiveness of AI-based security awareness training that deals with cyber threats. The research uses the Unified Theory of Acceptance and Use of Technology to update prior research, revealing that at-risk employees' behavior and information security awareness training implementation make up successful interventions. However, those studies did not discuss AI training, and so this research fills that literature gap. This study used a quantitative research design. The researcher analyzed survey responses using Pearson's Correlation and an independent t-test to determine statistically significant relationships and differences between employees' risk scores and an AI-based security awareness training programs' effectiveness. The calculations came from a sample of 200 participants from two different organizations. The Pearson product correlation of employee's risk scores and the effectiveness of the security awareness training program was statistically significant. The researcher also conducted an independent-samples t-test to compare the employees' risk scores by gender. There were no significant differences in scores. Male was higher than female ones. The mean difference was minimal. The findings herein help interpret the role of information security awareness training in the workplace, promoting behavioral changes that would impede data violations by including the users' vulnerability and the severity of intimidation, and the response to a threat in prognosticating behavior intentions.

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