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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#9 Part 2 | Get Rid of Lousy Detections: Leverage AI to Tune Your Detections & Stop Alert Fatigue
Do you spend a good majority of time tuning and maintaining detections, searching through data, and investigating alerts that don’t result in anything? Or maybe you’ve missed an alert that resulted in bad news, because you didn’t have the contextual information that would result in you taking action on the alert. Skip to the good part.
In this upcoming Detection Engineering Dispatch, join Michael Hart & Scott Rodgers, Principal Data Scientists at Anvilogic, to learn how you can leverage AI to:
- Automate the tuning & maintenance of your alerts
- Gain insights & guided recommendations aligned to your MITRE ATT&CK priorities
- Investigate only escalated alerts that matter
- Gain contextual information to know if action should be taken
- Minimize false positives
- Stop spamming your triage team (they can thank us/you later)
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