Bhupender Singh , CEO , Intelenet Global Services
Today, companies are recognizing the importance of big data analytics and apabilities to deliver security.And yet some companies are still failing to make use of the opportunities offered by big data.
Today, companies are recognizing the importance of big data analytics and its capabilities to deliver security.PwC's Global State of Information Security Survey 2016 found that more companies have embraced big data analytics, and that 59 percent of respondents were leveraging big data to combat and monitor threats. Big data analytics will surely be at the forefront of cybersecurity for the years to come.
The world is currently grappling with a data deluge. As businesses have expanded their digital presence, there has been an overwhelming amount of data amassed through these new-age digitalized mediums of communication. While the positive aspects of digital migration have been echoed throughout the business ecosystem, there unfortunately lies a flip side to this tale as well. Data theft and information leakage have become a major cause of concern for businesses across the board. Furthermore, as cloud adoption has become prolific, a significant amount of a company's data is now accessible outside the office perimeter– creating another avenue for security breaches. In response, some companies are quickly adopting innovative technologies such as cloud-enabled cybersecurity to reduce risks and reinforce their security.
With data no longer stored in one place, more companies are moving to cloud computing to improve information monitoring in real-time. In PwC's study, 69percent of survey respondents said they use cloud-based cybersecurity services to safeguard sensitive data. Investing in advanced technologies to upgrade old systems has helped companies to adopt the latest state-of-the-art cybersecurity tools. Others are even coupling the technology with big data analytics to create another layer of defense.
The steps a company takes when monitoring data can include putting data prevention software in place to avoid leakages, plus a vetting system and specialized training for staff to ensure that there are no internal breaches. Some companies operate with specialized teams from security operation centers across the globe. These teams would usually monitor critical infrastructure and take immediate action if any problem is identified.
Yet despite these advantages, some companies are still failing to make use of the opportunities offered by big data. A key factor can be a company's lack of capacity to operate critical business processes, whilst having to invest, vet, and train departments for information security. Other factors include a lack of awareness of security threats.
For these reasons, there is a keen interest from companies to work with IT solution partners, in order to adopt the latest technology and modernize their information security frameworks. Most IT partners strive to have a multilayer system to improve monitoring. This might involve putting different controls at various executive levels to make sure that certain data processes are only available to those working on it. Internal and client audits further reinforce best security practices, data protection, and privacy. This clarifies just how multilayered information security strategies must be to make sure a company's data is safe.
Those that embrace a more collaborative approach to information security will experience a partnership where the burden of intelligence on threats and response techniques is shared with external partners. For example, companies are able to focus on improving other infrastructures, when they know there is a dedicated in-house team provided by their IT partners, always on call to flag up security anomalies.
Businesses that invest in the right partnerships will be able to successfully take advantage of big data analytics and cloud computing security, ensuring a robust cyber defense system. Ultimately this would ensure that a company always has a competitive edge in a world that is constantly streaming data and heavily influenced by changing technology trends.