RANSOMWARE: TOOL DETECTION VULNERABILITIES AND DEFENSE

Abstract

Ransomware is a type of harmful software that steals personal data. Ransomware infections may be catastrophic to a person or a company, and recovery can be a complex process that may necessitate the assistance of a competent data recovery specialist. In this paper, we will investigate the instruments utilized by authorities to combat ransomware attacks. Several different types of detection tools are employed, and many of them have flaws. Traditional detection systems will find it more difficult to identify malware as it evolves, and updated models of ransomware families behave differently than their predecessors. Following a risk assessment of those tools' possible weaknesses, a business continuity and disaster recovery strategy against ransomware attacks is established. Finally, enhancements to organizational structural and functional security models employing AI-assisted detection methods are offered.