Detection Engineering Dispatch is a live series of 30 to 45-minute episodes featuring hands-on experiences, open discussions and live case studies with security operations teams at leading companies on what it takes to build a great detection engineering program.
Join your peers to knowledge share, deep-dive on technical best practices, and engage in discussions relevant to the detection engineering community.
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Machine Learning-Powered Threat Hunting feat. Sydney Marrone
This International Women’s Month, we’re celebrating the women driving the future of threat hunting and detection engineering—because cybersecurity is at its best when we build together. The last spotlight of our lineup is none other than Sydney Marrone.
Threat hunting is evolving, and machine learning is pushing the boundaries of what's possible. Alex Hurtado hosts Sydney Marrone—Principal Threat Hunter at Splunk and co-author of PEAK Threat Hunting—to explore how ML-driven techniques are transforming detection strategies.
Join us as we break down real-world applications of advanced analytics in Splunk to surface threats hidden in HTTP datasets. This episode will cover:
- Anomaly Detection – Spotting statistical outliers that could indicate malicious activity
- Clustering – Grouping similar traffic behaviors to identify patterns
- Statistical Analysis – Understanding deviations that stand out in network traffic

