As the digital world continues to evolve, so do the strategies for cyber defense. Intrusion detection systems (IDS) and intrusion prevention systems (IPS) are two of the most popular methods for protecting data and networks. Other cutting-edge technologies such as defensive AI, conflicting machine learning, context-aware security, and cloud encryption are also being used to keep networks safe. According to John Pescatore, director of Emerging Security Trends at the SANS Institute, authentication is a key factor in preventing data loss.Deep learning is a broad term that encompasses a range of technologies such as artificial intelligence and machine learning.
It is gaining traction in the security world due to its ability to detect anomalous behavior. As Crawford, of 451, explains, investments in deep learning for security purposes are likely to continue. However, there is a challenge for companies when it comes to choosing the right supplier. Differentiating between suppliers can be difficult as many offer similar approaches to the same problem. As more organizations move their IT operations to the cloud, more cloud-based security approaches will become available.
This includes virtualized security hardware, firewalls, and intrusion detection and prevention systems. The COVID-19 pandemic has forced many organizations to switch their staff to remote work. Surveys suggest that after the pandemic, a large portion of the workforce will continue to work remotely. This shift has created more opportunities for cybercrime as the Internet of Things (IoT) expands. IoT devices such as fitness trackers, smart refrigerators, smartwatches, and voice assistants are becoming increasingly popular. It is estimated that by 2026 there will be 64 billion IoT devices installed around the world.
To protect against cyber threats in this new digital landscape, organizations must stay up-to-date on the latest cyber defense strategies.