The battle between cybercriminals and cybersecurity professionals is increasing daily. A cybersecurity report states that cybercrime could cost as much as $10.5 trillion yearly by 2025. Artificial intelligence has become the weapon in this arms race. **AI-Powered Cyber Threats \   Cybercriminals are using AI to develop more sophisticated attacks via malware and phishing. These phishing campaigns use AI to convince users to reveal sensitive information such as passwords and bank details.  The AI uses deepfake technology to impersonate identities. For instance, a finance worker got tricked at a multinational firm into paying out $25 million to fraudsters using deepfake technology. The fraudsters posed as the company’s chief financial officer in a video conference call, according to Hong Kong police. Threat intelligence and incident response teams are now dealing with faster, more targeted attacks that are increasingly difficult to detect using traditional security measures. Cybercriminals are using AI chatbots to impersonate customer support. In this case, the customers are willing to share sensitive data like passwords and banking details without a second thought. Through this, hackers access customers' banking information and steal from accounts. In addition, AI is helping cybercriminals design malware that developers have not detected, making zero-day vulnerabilities more challenging. AI as a Defensive Force On the defensive side, AI aids cybersecurity. AI security tools can analyze vast amounts of data, detect anomalies, and automate responses to potential threats. Zero Trust Architecture, a framework I advocate for in cloud security, relies heavily on AI. The AI tool continuously reviews user access and validates credentials. This helps to reduce attacks on user accounts and sensitive information. AI’s ability to detect compromise has made it an essential tool in DevSecOps and automation. Because of this, security and system reliability have greatly improved. Artificial Intelligence tools can alert administrators and users of potential hacks and compromises. Microsoft has provided extensive AI tools with Identity and Access Management (IAM) for verification. Despite this, cybersecurity professionals must proactively monitor and audit alerts generated by the identity and access management tool. The Role of Zero Trust and Identity & Access Management (IAM) DevSecOps: Security at the Speed of Development DevSecOps has integrated AI into cybersecurity, cloud security, and workflows. DevSecOps ensures that security is built into every phase of the software development lifecycle rather than being an afterthought. AI-Powered Threat Intelligence & Incident Response AI powers threat intelligence to detect cyber hacks. AI models use machine learning to analyze patterns and detect anomalies. With machine learning, AI predicts threats and incidents. The Future: A Continuous Battle As an Editorial Board Member of the ESP - International Journal of Advancements in Computational Technology and a Senior IEEE Member, I have had the opportunity to research and analyze AI advancements in security. Success in cybersecurity depends on a combination of AI, Zero Trust Architecture, IAM, DevSecOps automation, and skilled professionals. Cybercriminals constantly change tactics, and cybersecurity professionals must stay ahead with AI-enhanced security strategies. One thing is certain, the AI arms race in cybersecurity is far from over. However, with AI, there is a 75% chance of staying ahead of cybercriminals. The battle between cybercriminals and cybersecurity professionals is increasing daily. A cybersecurity report states that cybercrime could cost as much as $10.5 trillion yearly by 2025. Artificial intelligence has become the weapon in this arms race. $10.5 trillion $10.5 trillion **AI-Powered Cyber Threats \ Cybercriminals are using AI to develop more sophisticated attacks via malware and phishing. These phishing campaigns use AI to convince users to reveal sensitive information such as passwords and bank details.  The AI uses deepfake technology to impersonate identities. For instance, a finance worker got tricked at a multinational firm into paying out $25 million to fraudsters using deepfake technology. The fraudsters posed as the company’s chief financial officer in a video conference call, according to Hong Kong police. chief financial officer chief financial officer Threat intelligence and incident response teams are now dealing with faster, more targeted attacks that are increasingly difficult to detect using traditional security measures. Cybercriminals are using AI chatbots to impersonate customer support. In this case, the customers are willing to share sensitive data like passwords and banking details without a second thought. Through this, hackers access customers' banking information and steal from accounts. In addition, AI is helping cybercriminals design malware that developers have not detected, making zero-day vulnerabilities more challenging. AI as a Defensive Force On the defensive side, AI aids cybersecurity. AI security tools can analyze vast amounts of data, detect anomalies, and automate responses to potential threats. Zero Trust Architecture, a framework I advocate for in cloud security, relies heavily on AI. The AI tool continuously reviews user access and validates credentials. This helps to reduce attacks on user accounts and sensitive information. AI’s ability to detect compromise has made it an essential tool in DevSecOps and automation. Because of this, security and system reliability have greatly improved. Artificial Intelligence tools can alert administrators and users of potential hacks and compromises. Microsoft has provided extensive AI tools with Identity and Access Management (IAM) for verification. Despite this, cybersecurity professionals must proactively monitor and audit alerts generated by the identity and access management tool. The Role of Zero Trust and Identity & Access Management (IAM) DevSecOps: Security at the Speed of Development DevSecOps has integrated AI into cybersecurity, cloud security, and workflows. DevSecOps ensures that security is built into every phase of the software development lifecycle rather than being an afterthought. AI-Powered Threat Intelligence & Incident Response AI powers threat intelligence to detect cyber hacks. AI models use machine learning to analyze patterns and detect anomalies. With machine learning, AI predicts threats and incidents. The Future: A Continuous Battle The Future: A Continuous Battle As an Editorial Board Member of the ESP - International Journal of Advancements in Computational Technology and a Senior IEEE Member, I have had the opportunity to research and analyze AI advancements in security. Success in cybersecurity depends on a combination of AI, Zero Trust Architecture, IAM, DevSecOps automation, and skilled professionals. ESP ESP Cybercriminals constantly change tactics, and cybersecurity professionals must stay ahead with AI-enhanced security strategies. One thing is certain, the AI arms race in cybersecurity is far from over. However, with AI, there is a 75% chance of staying ahead of cybercriminals.

This story contains new, firsthand information uncovered by the writer.

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