Intrusion detection system (IDS) and intrusion prevention system. Other cybersecurity technologies include defensive AI and conflicting machine learning, context-aware security, and cloud encryption. However, as John Pescatore, director of Emerging Security Trends at the SANS Institute, points out, authentication plays an important role in preventing data loss. Deep learning encompasses a range of technologies, such as artificial intelligence and machine learning.
Regardless of what it's called, there's a lot of interest in it for security reasons, said Crawford, of 451.Like user behavior analysis, deep learning focuses on anomalous behavior. We need to understand where malicious behavior deviates from legitimate or acceptable behavior in terms of security, Crawford explained. Crawford said he expects investments in deep learning for security purposes to continue. However, he added that the challenge for companies is that there are many companies that come to market with similar approaches to the same problem.
Differentiating distinctions from one supplier to another is going to be a major challenge for companies over the next year and beyond. He explained that, as more organizations use the cloud for what has traditionally been the domain of local IT, more security approaches that are born in and for the cloud will appear. Local techniques will be moved to the cloud. Things like virtualized security hardware, virtualized firewalls, and virtualized intrusion detection and prevention systems.
But that will be an intermediate stage. The COVID-19 pandemic forced most organizations to switch their staff to remote work, often quite quickly. Many surveys suggest that, after the pandemic, a high proportion of the workforce will continue to work remotely. The expansion of the Internet of Things (IoT) creates more opportunities for cybercrime.
The Internet of Things refers to physical devices other than computers, phones and servers that connect to the Internet and share data. Examples of IoT devices include portable fitness trackers, smart refrigerators, smartwatches, and voice assistants such as Amazon Echo and Google Home. It is estimated that by 2026 there will be 64 billion IoT devices installed around the world. The trend toward remote work is helping to drive this increase.
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