Quadrant Knowledge Solutions Market Insights research provides detailed information about how machine learning in DDoS solution is helping to minimize the mitigation time.
Fuelled by technological advancements and other factors like the Russo-Ukraine war, DDoS attacks are becoming more complex as well as more difficult to detect and mitigate. A majority of organizations have reported facing such attacks during the last few years. In addition, the COVID-induced accelerated digital transformation initiatives across the globe are exposing organizations to newer threats such as ransomware, phishing, and whaling. To overcome the challenges, DDoS Mitigation providers are leveraging machine learning (ML) algorithms with negative and positive protection models and rate limiting to offer robust DDoS Mitigation solutions and minimize the mitigation time with minimum human involvement.
Benefits of leveraging Machine Learning in DDoS Mitigation:
- Zero-Day Mitigation
- Enhanced threat detection and mitigation
- Task Automation
- Minimized Mitigation time
- Lesser Mitigation Costs
- Improvement in the overall Security
- Enhanced user experience
According to Sachin Birajdar, Analyst at Quadrant Knowledge Solutions, “DDoS Mitigation solution providers are integrating machine learning to detect threats, trends, reduce response time without harming genuine traffic, deliver a smooth user experience, as well as increase the accuracy, speed, and scalability of DDoS mitigation solutions. DDoS Mitigation providers can leverage ML to provide improved bandwidth capacity, effectively connect with network and data centers, set backup and duplication, configure applications and protocols for resilience, and enhance organizational efficiency and security.” Sachin advises, “Organizations looking for effective DDoS Mitigation products should look for the vendors offering robust DDoS Mitigation solutions with ML based automatic diversion, continuous support in the form of training and frequent updates, 24*7 real-time support, self-service capabilities, and secured, managed services.”
Table of Contents
- Introduction
- Machine Learning in DDoS Mitigation
- Advantages of leveraging ML in DDoS Mitigation
- Types of Machine Learning algorithms
- Final word
This Market Insights is a part of Quadrant’s DDoS Mitigation report.
https://quadrant-solutions.com/market_research/spark-matrix-ddos-mitigation-2022
Author: Sachin Birajdar, Senior Research Analyst & Renu Bala, Associate Research Director, Quadrant Knowledge Solutions.
