In the digital age, cybersecurity threats pose a significant risk to all - from individuals to organizations and government agencies. The consequences of security breaches can be devastating, including financial loss, exposure of confidential data and reputational damage.
How do we then put a stop to cybersecurity threats? The answer lies in machine learning (ML) and deep learning (DL) technologies.
In this whitepaper, we explore how HARMAN DTS is using ML for abnormal behavior profiling to detect malicious activities in enterprise networks. We delve into the challenges of detecting and preventing cyber threats and how ML/DL can address them. We also examine specific techniques and algorithms used for abnormal behavior profiling, including supervised/unsupervised learning.