Challenges, Trends, and the Future of Resiliency

Today, IT leaders overwhelmingly agree that focusing solely on cyber-attack prevention or recovery still leaves the business at high risk of downtime. They're evolving and adopting strategies focused on application resilience. This is to maintain continuity and protect critical data. It ensures rapid operational responses during disruptions from malicious attacks, outages, routine maintenance, and more. Here are some key takeaways from our conversation!

Resiliency Challenges

Because of the scale and complexity of modern environments, enterprises struggle to ensure application resiliency during cyber-attacks or IT disruptions. This layered architecture includes a mix of applications, platforms, operating systems, data services, and different infrastructures.

Meanwhile, unpredictable attacks can take any form, like ransomware on infrastructure, database corruption, application-level exploits, or network disruptions. Each attack requires a different mitigation approach, making it near impossible for IT operations teams to predict, detect, and respond with the appropriate action fast enough to prevent application downtime. When we talk about cyber-attacks, it is no longer a matter of IF, but WHEN an attack will occur.

A traditional, siloed approach to resilience has many teams. Each owns disruptions to its own layer. The complexity of siloed resiliency can hurt recovery and ultimately impact business objectives. It also fails to efficiently solve the most important goal: application uptime. To achieve true business resiliency, enterprises need a unified approach designed around the application that accounts for every layer of infrastructure, data, storage etc. With full context and real-time visibility, operations teams can pinpoint the root cause and automate responses to complex disruptions. Ultimately, minimizing the impact of cyber-attacks or IT disruptions by ensuring near-zero downtime and data loss.

Resiliency and AI

As AI usage grows, organizations are now assessing how to use it. They want to improve their availability and reduce risk. How does AI apply to resiliency? In our L!VE episode, we discuss AI's role in preventing attacks and downtime. It can offer a more proactive approach to resiliency. AI gives us a wealth of data points that can help us make better decisions and reduce risk. AI is a transformative technology. In the resiliency space, it's how to turn AI into Actionable Intelligence.

The Future of Resiliency

As we look to the future, resiliency will be more than a buzzword. Here are the top three future resiliency trends we anticipate:

1. As we rely more on digital tools, our tolerance for downtime will decrease. This is especially true for critical applications and data.
2. As data grows exponentially, automation will be key to any organization's IT strategy.
3. Active (or always up and running) data centers will be a critical part of the future.

There is so much more! When we think about data resiliency, it should come hand in hand with a plan for automated recovery.