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 09/November/2022 Empowering Intrusion Detection Systems with Machine Learning – Part 5 of 5 Intrusion Detection using Generative Adversarial Networks
Detection Engineering 26/October/2022 Empowering Intrusion Detection Systems with Machine Learning – Part 4 of 5 Intrusion Detection using Autoencoders
Detection Engineering 13/October/2022 Empowering Intrusion Detection Systems with Machine Learning – Part 3 of 5 One-Class Novelty Detection Intrusion Detection Systems
Detection Engineering 18/August/2022 Empowering Intrusion Detection Systems with Machine Learning – Part 2 of 5 Clustering-Based Unsupervised Intrusion Detection Systems
Detection Engineering 23/June/2022 Empowering Intrusion Detection Systems with Machine Learning – Part 1 of 5 Signature vs. Anomaly-Based Intrusion Detection Systems
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 09/November/2022 Empowering Intrusion Detection Systems with Machine Learning – Part 5 of 5 Intrusion Detection using Generative Adversarial Networks
Detection Engineering 26/October/2022 Empowering Intrusion Detection Systems with Machine Learning – Part 4 of 5 Intrusion Detection using Autoencoders
Detection Engineering 13/October/2022 Empowering Intrusion Detection Systems with Machine Learning – Part 3 of 5 One-Class Novelty Detection Intrusion Detection Systems
Detection Engineering 18/August/2022 Empowering Intrusion Detection Systems with Machine Learning – Part 2 of 5 Clustering-Based Unsupervised Intrusion Detection Systems
Detection Engineering 23/June/2022 Empowering Intrusion Detection Systems with Machine Learning – Part 1 of 5 Signature vs. Anomaly-Based Intrusion Detection Systems
