Wide use of AI and ML in Security
Artificial Intelligence and Machine Learning will get started to get widely used in threat intelligence and security orchestration, automation, detection, and response tools which will, in turn, reduce the workload on the security operation centers.
These technologies will assist to predict different threat levels, generating open tickets on their own, and raising an alert when something of advanced level intrudes and requires human intervention. Some other examples can be examining attachments for malicious files or executables and automatically sandboxing and quarantining them.
Top 7 Cybersecurity Predictions for 2024
Cybersecurity is currently one of the most demanded skills and this demand has grown exponentially during the Covid-19 times. This sudden spike is attributed to the fact that everything has shifted online, from classes to business meetings and conferences.
The employees of most companies are working from home and are at a greater risk of being attacked by a new cyber threat (cybercrime), vulnerability, or a hacker. Cybersecurity predictions suggest more cyber threats and the need for stronger defenses.
IBM X-Force Exchange (threat intelligence sharing platform) has seen a significant increase of close 4300% in coronavirus-themed spam worldwide during the lockdown. More than 7 out of 10 Indian companies being attacked with phishing, malware, and ransomware with a soaring 260%.
A recent study conducted by the Data Security Council of India in collaboration with PwC states that the cybersecurity market in India is predicted to grow from USD 1.97 billion in 2019 to a whopping USD 3.05 billion by the year 2025.