"Where CISOs Rely on AI and Machine Learning to Strengthen Cybersecurity"

As malware-less attacks become increasingly difficult to detect and stop, CISOs face a threat landscape in which malicious actors grow more sophisticated than security and Information Technology (IT) teams can keep up. However, Artificial Intelligence (AI) and Machine Learning (ML) are proving effective in bolstering cybersecurity by increasing response speeds and securing digital transformation projects in the works. Both AI and ML technologies help cybersecurity and IT teams improve the insights, productivity, and economies of scale that smaller teams can achieve. Ninety-three percent of IT executives are already using or planning to use AI and ML to strengthen their cybersecurity technology stacks. Sixty-four percent of those IT executives have incorporated AI for security into at least one of their security life cycle processes, and 29 percent are exploring vendors. The need to complete more revenue-related projects with fewer resources is one of the main factors driving adoption, according to CISOs who spoke with VentureBeat. Additionally, apps and platforms powered by AI and ML help address the cybersecurity skills gap that puts organizations at a higher risk of breaches. To effectively secure assets, 3.4 million more cybersecurity workers are required, according to the (ISC)2 Cybersecurity Workforce Study. CISOs also require the real-time data insights provided by AI and ML-based systems in order to fine-tune predictive models, gain a comprehensive view of their networks, and continue implementing their zero-trust security framework and strategy. Therefore, enterprise spending on AI- and ML-based cybersecurity solutions is expected to grow at a 24 percent Compound Annual Growth Rate (CAGR) through 2027, reaching a market value of $46 billion. This article continues to discuss how CISOs can use AI and ML to improve cybersecurity.

VB reports "Where CISOs Rely on AI and Machine Learning to Strengthen Cybersecurity"