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India's AI & ML Cybersecurity Capabilities- Driving Innovation at the Cybersecurity Front

March 31, 2021 4016 0 DSCI Reports

India's AI & ML Cybersecurity Capabilities- Driving Innovation at the Cybersecurity Front

The Pandemic has shifted digital transformation into top-gear and catapulted the ecosystem 5 years ahead! With increased adoption of new technologies such as IoT, Cloud, 5G, etc. Coupled with remote working conditions, and exponential growth in data has led to increasing in sophistication and scale of cyberattacks, which in turn has created the need of next-gen cybersecurity solutions that are enhanced by integrating AI and ML. The use of AI based cybersecurity solutions combined with skilled worked, is estimated to become the most optimum way of dealing with the growing threat landscape. This report aims to showcase the key AI/ML-based capabilities and product offerings of the Indian cybersecurity Industry, which is enhancing their product efficiency, accuracy, and reliability. The adoption of the AI/ML technology stack is boosting the Indian cybersecurity industry and helping Indian products compete at a global level. The report also features a compendium of rich case-studies, carefully curated to showcase the next-gen cybersecurity product capabilities along with their respective business models.

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India's AI & ML Cybersecurity Capabilities

Key Findings:

As per the survey responses, the benefits realized were:

  • Workload reduction per security analyst was 61%
  • Average increase in overall operational efficiency was 63%
  • The decrease in rate of detection of false positive was 61%

Key AI/ML based solutions:

  • As per experts, Risk & Vulnerability management solutions with cloud-based deployment are gaining significant traction
  • User Entity Behavior Analytics (UEBA) has emerged as a very effective tool to analyze user behavior and provide cyber-intelligence

Key Challenges:

  • Acquiring data emerged as the most challenging aspect, owing to:
    • Data sensitivity and compliance issues
    • Acquiring homogeneous data from different source creates complications

 

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