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
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 20/July/2022 MISP Broker Tempest's team of researchers develop and share a tool to assist in activities carried out by defensive security analysts
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 03/November/2021 Providing Visibility, Monitoring, and Anomaly Detection with FleetDM and Osquery Nowadays, there is a concern about security and its monitoring
Detection Engineering 13/October/2021 Unveiling the SIGMA (YAML) for Detection Engineering Sigma Rules: A Format for Composing Your Discovery Use Case Library
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
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 20/July/2022 MISP Broker Tempest's team of researchers develop and share a tool to assist in activities carried out by defensive security analysts
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 03/November/2021 Providing Visibility, Monitoring, and Anomaly Detection with FleetDM and Osquery Nowadays, there is a concern about security and its monitoring
Detection Engineering 13/October/2021 Unveiling the SIGMA (YAML) for Detection Engineering Sigma Rules: A Format for Composing Your Discovery Use Case Library
