Ransomware Mitigation Using AI-Powered Behavioral Analysis
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V4I2P104Keywords:
Ransomware, AI-powered cybersecurity, behavioral analysis, machine learning, predictive analytics, financial cybersecurity, malware prevention, AI-driven threat detection, cybersecurity automation, anomaly detectionAbstract
Emerging as a basic threat to cybersecurity, ransomware attacks constantly change to evade traditional defenses. Often leaving businesses with little options, these attacks encrypt critical information, interfere with operations & demand huge ransoms. Conventional security systems, including signature-based detection, struggle to fit the quickly changing cybercrime techniques. By use of behavioral analysis, artificial intelligence (AI) offers a proactive approach. By means of continuous monitoring of system activity & anomaly detection in normal behavior, AI might proactively detect possible ransomware attacks prior to their significant impact. This paper investigates how AI-driven behavioral analysis forecasts threats in actual time, blocks suspicious activity & adapts to new attack approaches thereby enhancing ransomware security. Whether the ransomware strain is known or not, a main focus is on AI's ability to identify the subtle anomalies that would indicate an ongoing attack. An actual world case study showing how well AI-driven behavioral analysis stopped a ransomware attack highlights the predictive ability & quick response times of this method. We also look at upcoming advancements in AI-driven cybersecurity, including the challenges of huge scale use of these technologies and the mixing of machine learning models with automated incident response. Though it is not a magic bullet, AI greatly improves the security system of a company by offering a dynamic and intelligent defense against ransomware. Organizations and security professionals have to employ AI to keep an edge as hackers improve their tactics, therefore making sure their systems are strong against always developing threats
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