Corelight Investigator furthers its commitment to delivering next-level analytics through the expansion of its machine learning models. Security teams are now enabled with additional supervised and deep learning models, including: We continue to provide complete transparency behind our evidence -- showing the logic behind our machine learning models and detections, allowing analysts to quickly and easily validate the alerts.
Network security is a broad field, encompassing various processes, policies, rules, standards, frameworks, software, and hardware solutions. Its primary goal is to protect a network and its data from various threats, including intrusions and breaches.
Python is a popular and powerful programming language that is often used for building web applications, data analysis, and automation. One of the key challenges in such projects is ensuring the security of network communication, which can be vulnerable to various threats such as man-in-the-middle attacks and eavesdropping. Fortunately, Python offers a range of libraries for encrypting and securing network communication.
In our new threat briefing report, Forescout’s Vedere Labs analyzes the Royal ransomware threat actor group and encryptor payload, presents threat hunt opportunities for network defenders and shares details of the group’s tactics, techniques, and procedures (TTPs).
