The Age of AI & Machine Learning in Cybersecurity: Boosting Security
While sophisticated threats like ransomware, crypto-jacking, phishing, and software supply chain attacks are on the rise explosively, modern cyber attackers’ tactics, methods, and procedures (TTP) have become both quick and abundant.
Global workforces’ increased reliance on digital resources adds yet another layer to the expanding cyberattack surface that we now all share. Businesses give their CISOs the responsibility of creating, maintaining, and regularly updating their cybersecurity strategies and solutions in an effort to meet these difficulties. hoppers are motivated as easily as possible is a key selling feature for online sellers looking to attract visitors.
E-commerce returns, however, are a wasteful and disorganized process. Retailers lose hundreds of billions of dollars in income every year, but the environmental impact is shocking as well.
The amount of garbage produced in places like Europe, the Middle East, and Africa has not been quantified by many specialists, but the statistics for the United States are alarming: 2.6 million tonnes of projected returns ended up in landfills in 2020 alone, according to a report from Optoro. In that year, 16 million metric tonnes of carbon dioxide (CO2) were emitted during the shipping of returned goods. That is similar to the emissions produced by two million households being powered for a year.
Tactically, CISOs make sure that the security architecture of their company can withstand the dynamic nature of contemporary threats. This entails selecting the best tool stack that can counter complex cyberthreats at the rapid rate at which they emerge. CISOs today need to stack multi-layered and proactive security solutions together to create an acceptable defense posture since single-layer, reactive security solutions cannot keep up with increasingly clever attackers.