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In 2020, the data management and protection industry is shaping up to bring new services into the fold while making new use of services already in play. Veritas rounds up 2019 with the top three predictions that will headline 2020:

  1. Ransomware has become big business

Cybercriminals have long relied on social engineering as one of their most successful modes of attack. To stay ahead of the cat and mouse game, cybercriminals’ techniques will evolve in response to more rigorous company policies. We’re already seeing the beginnings of a secondary illegal market for stolen credentials. On the dark web, ransomware is fuelling the rise of a burgeoning market that makes it quick and easy for cybercriminals to gain remote access to corporate systems.

In Singapore, the latest malware incidents that hit before we close out the year is yet another timely reminder that ransomware will no longer be a matter of data denied. It will be a case of data compromised. Globally, the public sector, healthcare and manufacturing are emerging as some of the most likely targets. To bolster data security, the Singapore government has set up the high-level Public Sector Data Security Review Committee (PSDSRC).

One of the key recommendations for improving transparency in the public sector’s data security is to publish the government’s policies and standards relating to personal data protection and provide an annual update.


  1. The growth of containers

Container technology will continue to make businesses more versatile in their ability to deploy and scale applications.

This rapid deployment is leading to questions about data integrity as an increasing number of new containerised applications are designed to create and modify persistent data. This evolution is emphasising the need for mature backup and recovery processes that protect containerised data and applications wherever they reside.

Currently, container technology allows for rapid and portable deployment of environments that furthers the abstraction started with virtualisation and enables additional abstraction of the hardware. As organisations continue to shift workloads and transition to hyperconverged infrastructure, they will need the simplicity, ease of use, faster infrastructure deployment and the ability to easily scale.


  1. The year of AIOps adoption

Many organisations have been experiencing a shift from the traditional core enterprise data center to a decentralised on-prem and cloud infrastructure. Another major trend is what I’ve termed “Digital Users”. Digital Users include machine agents, containerised applications (as above), process-oriented analytics, IoT devices and API-driven infrastructure.

Digital Users can number into the thousands and quickly expose the complexities associated with the manual processes required to deploy infrastructure, apps, and data management and protection services.

AIOps and API automation holds the promise to abstract complexity and provide significant new levels of autonomous processes. These are significant trends that will make AIOps an imperative in 2020.

Looking ahead to 2020, collecting data from various systems, tools and devices and the application of analytics, AI and machine learning will gain speed, simplifying the adoption of Digital Users, enhancing IT operations and information management with capabilities that will include:

  • Automatic detection and self-directed, real-time action on events and issues
  • Automated workload and data analysis that drives resiliency orchestration
  • API enabled provisioning, management, protection and recovery
  • Proactive data classification and action spotlighting potential risks and threats


Article by Ravi Rajendran, vice president and managing director of Asia South Region, Veritas






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