Jupyter Jetpack: Automating Cloud Threat Hunting

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The talk will outline detection and threat hunting strategies that could be easily adopted by a mature SOC to look for threats in their Cloud (O365 and AWS) environment. I'll be introducing a Jupyter notebook containing detections mapped to the MITRE ATT&CK framework and threat hunting methodologies backed by unsupervised machine learning. We will take a look at huge datasets using visualizations to find anomalies. These anomalies would be converted into High-Fidelity Detection, along with some ideas to extend this hunt to IAM Platforms like OKTA