Last year’s cybersecurity trends are important in 2023 because they set the stage. Both companies and cyber criminals know the “new normal” of IT at a distance well. While WFH isn’t a new threat this year, its only a matter of time before attackers compromise multiple, insecure home networks at the same time to manufacture a massive scale breach of critical systems and services. It makes sense. With many staff using home broadband connections for both personal use and their jobs, the corporate attack surface has increased by a lot.

The next point is the rush to cloud-everything as this will cause many security holes, challenges, misconfigurations and outages. The sheer amount of security alerts, of potential threats, is too much for humans to handle alone. Already, automation and machine learning help human security analysts separate the most urgent alerts from a sea of data, and take instant remedial action against certain threat profiles. A July article in VentureBeat noted that Chase is using machine learning not only to target customers with more appealing marketing campaigns; the banking giant uses supervised and unsupervised machine learning algorithms to identify known and novel security threats.