In this guide you will learn about Disaster Recovery planning with Zerto and its impact on business continuity.
In today’s always-on, information-driven business environment, business continuity depends completely on IT infrastructures that are up and running 24/7. Being prepared for any data related disaster – whether natural or man-made – is key to avoiding costly downtime and data loss.
- The cost and business impact of downtime and data loss can be immense- See how to greatly mitigate downtime and data loss with proper DR planning, while achieving RTO’s of minutes and RPO’s of seconds- Data loss is not only caused by natural disasters, power outages, hardware failure and user errors, but more and more by man-made disasters such as software problems and cyber security attacks- Zerto’s DR solutions are applicable for both on-premise and cloud (DRaaS) virtual environments- Having a plan and process in place will help you mitigate the impact of an outage on your business
Download this guide to gain insights into the challenges, needs, strategies, and solutions for disaster recovery and business continuity, especially in modern, virtualized environments and the public cloud.
The True Cost of Disruption is Massive.
When measuring the total cost of downtime, immediate service disruption is only the beginning. In a landscape of evolving threats, comprehensive protection is more important than ever for modern digital businesses. Traditional backup solutions no longer meet the needs of today’s businesses for disaster recovery.
However, not every organization has the means to build their own datacenter or hire full-time DR specialists. Even for those that can, there are still benefits to replacing the direct and indirect costs of secondary sites with a predictable monthly expense for a specialized service.
For many organizations, DRaaS is an ideal solution. Our DRaaS 101 eBook describes in detail the benefits of DRaaS and the wide variety of models available through Zerto’s DRaaS providers—including an option that’s right for you.Download this DRaaS 101 eBook now—it’s free!
It’s Time to Attack Your Ransomware Recovery Strategy
For healthcare organizations, experiencing a cyberattack is no longer a matter of if—it’s a matter of when. Developing a clear ransomware recovery strategy is your best defense.
Our free Cyber Attack Survival Guide for Healthcare lays out the plan of attack needed to have a fighting chance against ransomware. This survival guide features essential information, including:
Without a ransomware response plan, your organization remains vulnerable. Download your Cyber Attack Survival Guide for Healthcare now—it’s free!
Verified Rate for Accurate Detection of Ransomware Corruption
The CyberSense 99.99% SLA, goes through rigorous testing against real-world scenarios with live ransomware. By leveraging continuous learning and AI to perform deep content inspection, CyberSense achieves unprecedented accuracy when detecting data corruption. Without this level of accuracy provided by CyberSense, organizations will remain vulnerable to ransomware attacks and will face elongated downtime and complex recovery processes that will negatively impact their organizations.
Maintain Confidence that alerts are real, and that false positives and negatives will be minimized
Support Continuous Accuracy with AI training done using real ransomware and studying how it changes data
Minimize Data Loss and cyber liability through detailed forensic reporting for faster, curated recovery
Prevent the Next Attack by feeding CyberSense's telemetry data to SIEM/SOAR systems
Read more in this validation from Enterprise Strategy Group (ESG)
Innovative AI Strategies Supporting Trusted Data Recovery`
The Challenge: Evolving Threat Landscape: Ransomware attacks are more sophisticated than ever, targeting critical data with stealth and precision. Traditional data protection strategies often fail to detect corruption, leaving businesses vulnerable to downtime, data loss, and significant financial impact.
Protect your data and your business—explore CyberSense today. Download the whitepaper to learn more.
The CyberSense Advantage: CyberSense offers proven AI-powered protection, ensuring unmatched accuracy and resilience:
Why Choose CyberSense? Trust that you will have best possible recovery in the wake of a cyberattack.
Making the right investment in cybersecurity is crucial to understanding the balance between smarter spending and smarter recovery.
You will learn:
Forward Networks co-founder Nikhil Handigol explains how organisations can harness agentic AI in networking and security without jeopardising reliability.
What makes AI “agentic” – Unlike chatbots, agentic systems pursue goals, choose their own tools and act autonomously. Market researchers expect the segment to surge from US $5.1 billion in 2025 to more than US $47 billion by 2030, and Gartner predicts that one-third of enterprise software will embed such capabilities by 2028. Upside for networks – Agents can:remediate newly disclosed vulnerabilities or block malicious traffic,resolve connectivity issues and reroute flows around failures,analyse patterns to predict and prevent impending outages. These abilities promise dramatic efficiency gains for short-staffed IT teams and better user experience. Risks to manage – Because an agent can act without human oversight, a mis-trained model or bad data could break compliance, introduce downtime or even cause physical harm. “Trust but verify” must therefore guide every deployment.Build the data bedrock – Autonomy is only as sound as the data it relies on. Enterprises need a complete, accurate record of every device, configuration and packet path. A network digital twin—a mathematically precise, continuously updated software replica of the live environment—provides that single source of truth. Digital twins as guardrailsPre-change simulation: Before any AI-driven or manual change, test it exhaustively in the twin to catch policy violations, compliance breaks or connectivity loss.Continuous verification: Twin-based rules monitor live behaviour and alert operators to drift or emergent problems. With this safety layer, CIOs can accelerate agentic AI adoption while preserving control.Bottom line – Agentic AI’s promise in networking is real, but benefits accrue only if robust data pipelines and digital-twin guardrails are in place. When those prerequisites are met, AI agents can handle routine operations and incident response, freeing humans for higher-value work and increasing organisational resilience.