Zerto

MARCH 15, 2023

To do this, they implement automated monitoring and alerting systems and automated recovery processes. They continuously improve systems’ design and operation, and they work closely with development teams to ensure that systems are highly available, resilient, and prepared for planned and unplanned disruptions to applications.

Disaster Recovery 98

Disaster Recovery Failover Application High Availability 98

Fusion Risk Management

DECEMBER 15, 2021

While there is a shift towards a more dynamic, data-driven approach to resilience, regulators still expect runbooks and checklists, so firms are working to find that balance between data and plans. 3) Merging taxonomies and finding common ground on continuity and risk processes.

Financial Services 52

Financial Services Data Recovery Resilience Continual Improvement 52

Solutions Review

JANUARY 25, 2024

New research supports the idea that ransomware continues to be a ‘when’ not ‘if’ scenario, with 76 percent of organizations attacked at least once in the past year, and 26 percent attacked at least four times during that time. Following Principle #1 allows organizations to identify data that should be disposed of to mitigate potential risks.

Authentication 142

Authentication Cybersecurity Security Government 142

Solutions Review

FEBRUARY 1, 2024

New research supports the idea that ransomware continues to be a ‘when’ not ‘if’ scenario, with 76 percent of organizations attacked at least once in the past year, and 26 percent attacked at least four times during that time. Following Principle #1 allows organizations to identify data that should be disposed of to mitigate potential risks.

Healthcare 59

Healthcare Cybersecurity Security Government 59

Solutions Review

JANUARY 28, 2024

New research supports the idea that ransomware continues to be a ‘when’ not ‘if’ scenario, with 76 percent of organizations attacked at least once in the past year, and 26 percent attacked at least four times during that time. Following Principle #1 allows organizations to identify data that should be disposed of to mitigate potential risks.

Healthcare 52

Healthcare Cybersecurity Security Government 52

Solutions Review

JANUARY 28, 2025

Beyond redaction, AI can support pseudonymization, generalization, and data masking, converting sensitive data into formats that maintain utility while protecting privacy. Continuous improvements in LLMs allow these systems to adapt to emerging patterns and threats, ensuring data integrity and privacy.

Vulnerability 99

Vulnerability Healthcare Cybersecurity Security 99

Solutions Review

JANUARY 30, 2025

Beyond redaction, AI can support pseudonymization, generalization, and data masking, converting sensitive data into formats that maintain utility while protecting privacy. Continuous improvements in LLMs allow these systems to adapt to emerging patterns and threats, ensuring data integrity and privacy.

Vulnerability 52

Vulnerability Cybersecurity Healthcare Security 52