A cyber breach represents one of the most challenging periods in any professional's career. When an organization suspects a cyberattack, IT and security experts must execute a coordinated series of actions to analyze and rapidly respond to the incident. This process gets to be challenging due to the limited information available to effectively analyze the breach incident.
While traditional security tools focus primarily on the perimeter and production environment, these tools don’t provide full-picture visibility into the data, which could lead to prolonged and incomplete digital forensics and incident analysis. Legacy backup approaches typically resort to brute force recovery, but modern incident response (IR) demands a comprehensive analysis even before recovery becomes a viable option. When analyzing a cyber incident, IT and Security professionals need access to both clean copies of data and critical insights from data to pull together a complete picture of the breach’s scope, impact, and remediation strategies.
Drawing on the extensive experience in assisting customers with detection, response, and recovery from cyber attacks, Druva has developed a data-powered approach to IRR efforts to address these gaps. By operationalizing the detection, response, and recovery stages of the NIST Cybersecurity Framework, Druva’s data-powered IRR workflow provides a prescriptive approach to leverage protected data and insights, accelerating incident response and remediation.
This paper analyzes the key aspects of NIST CSF 2.0 and Druva’s data-powered IRR workflow, empowering you with the knowledge and tools needed to effectively respond and recover from cyber risks.