News & Updates

Orchestrating Your Comeback: How Automation Streamlines System Recovery In today’s digital landscape, downtime can be devastating. Every minute a system is offline translates to lost productivity, revenue, and potentially, customer trust. Organizations are constantly searching for ways to minimize downtime and ensure a swift recovery in the event of a

HIPAA (Health Insurance Portability and Accountability Act) specific requirements for System Recovery HIPAA has specific regulations regarding system recovery within the healthcare sector, particularly under the Security Rule, which focuses on safeguarding electronic protected health information (ePHI). While HIPAA doesn’t prescribe specific technical solutions, it establishes guidelines that healthcare providers

Stuck in Limbo: Why Recovering from a Cyberattack Can Take Forever Cyberattacks are a harsh reality of the digital age. While the initial shock of a breach is bad enough, the real pain can come later: prolonged system downtime. This can cripple businesses, erode customer trust, and cost millions in

Navigating Recovery in a Hybrid World: Physical Systems vs. Virtual Machines In the aftermath of a cyberattack or system outage, restoring critical systems quickly and effectively is paramount for minimizing downtime and returning to business as usual. However, modern IT infrastructures often include a blend of physical servers and virtual

How to close the Top 5 Disaster Recovery Plan Gaps. A disaster recovery (DR) plan is an essential part of any organization’s risk management strategy. It outlines the steps that need to be taken in order to recover from natural disasters, cyber-attacks, or any other unexpected event that could disrupt

Proactive ransomware testing with Advanced Anomaly Detection & Cleanroom Recovery Having early warning of malicious file encryption is vital to limit the damage potential from a ransomware attack. Cristie Software Advanced Anomaly Detection can identify suspicious file structure changes by comparing live systems against meta data held from the most