Disaster recovery

AI and Machine Learning In Disaster Recovery

‘Data’ is the most valuable asset for any business. While organizations cannot afford to go into loss, a robust technical business environment creates a security risk. Although the risk of rising cyber threats will not disappear anytime soon, having an alternate plan to recover from the disaster can help reduce damages caused. Disaster recovery and business continuity plans ensure protection from all sorts of uncertain data incidents.

Machine Learning in Cybersecurity

What is a Disaster Recovery Plan (DRP)?

“A Disaster Recovery Plan (DRP) is a business plan that describes how work can be resumed quickly and effectively after a disaster. Disaster recovery planning is just part of business continuity planning and is applied to aspects of an organization that rely on an IT infrastructure to function.” – Techopedia

The advancement of intelligent tools in machine learning is transforming business processes for the better. With the use of artificial intelligence, disaster recovery strategies are now being enhanced with new and improved ways.

The simplest way to understand Machine Learning:

Machine learning and Artificial Intelligence – Here is how Forbes differentiates them:

“Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider “smart”. And, Machine Learning is a current application of AI-based around the idea that we should just be able to give machines access to data and let them learn for themselves.”

The potential of using Artificial Intelligence in Disaster Recovery

Artificial intelligence

1. AI can predict potential outcomes

The biggest risk that businesses often face is that they are uncertain of what risks await them. Although you can evaluate risks from the data sets that are accessible, the risk of the potential threat still exists. AI can better and more accurately examine data sets, especially when compared to a manual process of doing so. The tools used by AI to assess potential threats like deep neural networks are far more advanced than what could be done manually. This makes it easier for the AI system to determine threats and create a robust and powerful disaster prevention and recovery plan.

2. AI contributes to better protection

An AI-enhanced plan can help strategists draft a better plan for disaster recovery. It uses techniques like ‘business impact analysis’ and ‘risk assessment.’ This way businesses can learn the crucial lessons required to implement better protection measures backed by a lower investment. The machine learning system should be fed with the right amount of data to create effective disaster recovery strategies.

3. AI automates the disaster recovery process

An amazing feature of artificial intelligence is that it encourages automation in the organization. AI can be used to automate and control various parts of disaster recovery and business continuity plans. It does not only help prevent issues from arising but also adapts to new data to make its predictive analysis effective.

4. AI enhances incident response actions

In the aftermath of a disaster, it will take time to evaluate and understand the severity of the incident. You may also want to learn the real cause behind the incident. AI can quickly analyze the reason behind the attack and can be programmed to initiate an auto-recovery action. With the AI strategy in place, disaster recovery becomes faster, reducing unplanned downtime.

5. AI learns from each incident

AI systems working for disaster recovery and business continuity plans are equipped with machine learning mechanisms. It enables them to learn from their experiences. The more they are exposed to data to handle downtime and outages, the better they will learn to register the issues of downtime.

Align your disaster recovery strategy with AI

In a digital world where disasters are more certain, the amount of downtime may warn your business performance. Where the brands cannot afford to have unforeseen downtime, the disaster recovery plans should be aligned to handle and enhance AI-based strategies. No technology can be practiced without human intervention. It requires experts who are certified disaster recovery professional and has the skill to integrate AI for enhanced performance and business continuity.

EC-Council Disaster Recovery Professional (E|DRP) is a comprehensive and latest certification that gives the necessary skills to develop organization-wide business continuity and disaster recovery plans. An E|DRP credentialed professional is the right professional who can take your disaster management plans to the next level and ensures your readiness for any incident.


Q. What should a disaster recovery plan include?
A. Defining a disaster recovery plan that is best suited for your organization can be a tough task to do. Here we have broken it down into five simple steps, learn more: https://blog.eccouncil.org/3-essential-steps-to-a-sound-disaster-recovery-plan/
Q. What are the main components of a disaster recovery plan?
A. A DRP includes a set of policies, tools, and procedures that ensures the recovery of lost data and the continuation of daily operations of a business. The essential step-by-step inclusions in a DRP are https://blog.eccouncil.org/8-steps-to-a-successful-disaster-recovery-plan/
Q. Why is a disaster recovery plan important?
A. A disaster recovery plan is crucial for every business, irrespective of a small or big enterprise. Know how important is a disaster recovery plan: https://blog.eccouncil.org/4-things-that-can-happen-in-the-absence-of-a-disaster-recovery-plan/
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