Detection Engineering 25/October/2023 False positives in threat detection Understand the need to create exceptions, adjust detection logic and rules, implement processes to handle alerts and manage false positives when identifying cyber threats
AI, ML & Data Science 08/September/2023 Detecting Anomalies using Machine Learning on Splunk The identification of cyberattacks is crucial to safeguard networks and systems, but signature detection has its limitations. Therefore, the discovery of anomalies through machine learning is a promising approach
Detection Engineering 25/October/2023 False positives in threat detection Understand the need to create exceptions, adjust detection logic and rules, implement processes to handle alerts and manage false positives when identifying cyber threats
AI, ML & Data Science 08/September/2023 Detecting Anomalies using Machine Learning on Splunk The identification of cyberattacks is crucial to safeguard networks and systems, but signature detection has its limitations. Therefore, the discovery of anomalies through machine learning is a promising approach
