Comprehensive Digital Forensics and Risk Mitigation Strategy for Modern Enterprises

TL;DR

This paper discusses a comprehensive cybersecurity approach for enterprises, emphasizing digital forensics, risk mitigation, and adaptive strategies using AI to protect sensitive data against evolving threats.

Contribution

It presents a detailed framework integrating digital forensics, risk management, and AI-driven mitigation strategies tailored for modern enterprise cybersecurity.

Findings

Continuous monitoring enhances threat detection.

AI improves incident response effectiveness.

Best practices strengthen data protection and compliance.

Abstract

Enterprises today face increasing cybersecurity threats that necessitate robust digital forensics and risk mitigation strategies. This paper explores these challenges through an imaginary case study of an organization, a global identity management and data analytics company handling vast customer data. Given the critical nature of its data assets, EP has established a dedicated digital forensics team to detect threats, manage vulnerabilities, and respond to security incidents. This study outlines an approach to cybersecurity, including proactive threat anticipation, forensic investigations, and compliance with regulations like GDPR and CCPA. Key threats such as social engineering, insider risks, phishing, and ransomware are examined, along with mitigation strategies leveraging AI and machine learning. By detailing security framework, this paper highlights best practices in digital forensics, incident response, and enterprise risk management. The findings emphasize the importance of continuous monitoring, policy enforcement, and adaptive security measures to protect sensitive data and ensure business continuity in an evolving threat landscape