"Deploying Big Data solutions is essential for companies to expand the scope of cyber security solutions beyond detection and mitigation of threats,” said Hiten Shah, Research Analyst, Techvision. "This technology can proactively predict breaches before they happen, as well as uncover patterns from past incidents to support policy decisions."

Frost & Sullivan’s recent analysis, Envisioning the Next-Generation Cybersecurity Practices, presents an overview of cyber security in enterprises and analyses the drivers and challenges to the adoption of best practices in cyber security. It also covers the technologies impacting the future of cyber security and the main purchase factors.

"Startups need to make their products integrable with existing products and solutions as well as bundle their solutions with market-leading solutions from well-established companies," noted Shah. "Such collaborations will lead to mergers and acquisitions, ultimately enabling companies to provide more advanced solutions."

According to Frost & Sullivan, technologies that are likely to find the most application opportunities include:

Big Data: It enables automated risk management and predictive analytics. Its adoption will be mostly driven by the need to identify usage and behavioral patterns to help security operations spot anomalies.

Machine Learning: It allows security teams to prioritise corrective actions and automate real-time analysis of multiple variables. Using the vast pools of data collected by companies, machine learning algorithms can zero in on the root cause of the attack and fix detected anomalies in the network.

Blockchain: The data stored on blockchain cannot be manipulated or erased by design. The tractability of activities performed on blockchain is integral to establishing a trustworthy network between endpoints. Furthermore, the decentralized nature of blockchain greatly increases the cost of breaching blockchain-based networks, which discourages hackers.