February 12, 2019 – As cybercrime becomes more sophisticated and even a method of warfare, technologies such as
machine learning
,
Big Data
, and
blockchain
will become prominent. The rise of the
Internet of Things
(
IoT
) has opened up numerous points of vulnerabilities, compelling cybersecurity companies, especially startups, to develop innovative solutions to protect enterprises from emerging threats.
Frost & Sullivan’s recent analysis, Envisioning the Next-Generation Cybersecurity Practices, presents an overview of cybersecurity in enterprises and analyzes the drivers and challenges to the adoption of best practices in cybersecurity. It also covers the technologies impacting the future of cybersecurity and the main purchase factors.
Technologies that are likely to find the most application opportunities include:
- Big Data: It enables automated risk management and predictive analytics.
- Machine Learning: It allows security teams to prioritize 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.
Its adoption will be mostly driven by the need to identify usage and behavioral patterns to help security operations spot anomalies.
Furthermore, the decentralized nature of blockchain greatly increases the cost of breaching blockchain-based networks, which discourages hackers.
Envisioning the Next-Generation Cybersecurity Practices
is part of Frost & Sullivan’s global Information & Communication Growth Partnership Service program.
