AI(opens in new tab) is revolutionizing cybersecurity(opens in new tab). From automatically detecting network irregularities, to deciding how best to allocate security(opens in new tab) defenses, some of the most data-intensive tasks are rapidly being taken over by machines that can compute at faster and higher rates than people.ABOUT THE AUTHOR Cybercriminals however, know

Data security has become a major concern for businesses as data theft is quite a regular occurrence in today’s corporate environment. If you wish to secure all your business’s private data, it is necessary to enforce stricter measures, use XDR to improve your cybersecurity defenses and also consult the experts. When it

In the age of technology and cloud computing, cyber security is more important than ever. Even as a small business or start-up, you should be concerned about potential cyberattacks. Here’s why: Your company data can potentially get stolenIf financial damage is inflicted, it can be hard to bounce back fromCustomer

Process automation is often seen as a good investment both to improve productivity and to support existing workers when hiring additional talent isn’t possible. However, automating processes can have drawbacks – there are unique cybersecurity requirements businesses must consider before widely implementing these systems. Cybersecurity must become an essential investment for businesses that rely heavily on automation or that plan to adopt these systems in the future. How Automation Can Create new Cybersecurity Vulnerabilities In some cases, automating processes may introduce new security risks by changing how data is stored or requiring businesses to adopt

Software that is free of serious security vulnerabilities could be on the horizon after a pair of Australian researchers recently developed an entirely new system for detecting weaknesses. Called ‘LineVul’, it’s the most effective approach to accurately predict vulnerabilities in software code and therefore able to strengthen cyber security, Monash University software