ABOUT THIS EPISODE
Guest:
- Jared Atkinson, Adversary Detection Technical Director at SpecterOps
Topics:
- What are bad/good/great detections? Is this all about the Bianco's pyramid? Is high good and low bad?
- How should we judge the quality of detections? Can there be a quality framework? Is that judgment going to be site specific?
- What should we do to build more good directions? Is this all about reducing false positives?
- Can we really measure false negatives? How can we approach this?
- How can we test for detection goodness in the real world? What are the methods that work? It can't be just about paper ATT&CK coverage, right?
- What are your top 3 tips for improving the detection practice at an organization?
Resources:
- "The Pyramid of Pain" post by David Bianco
- "On Threat Detection Uncertainty"
- "Detection Coverage and Detection-in-Depth"
- "Detection in Depth" by SpecterOps
- "Philosophy of Science: Rationality Without Foundations" by Karl Popper (yes, really)
- Red Canary "2021 Threat Detection Report"
- "The Black Swan: The Impact of the Highly Improbable" by Nassim Nicholas Taleb
- John Piaget's theory of cognitive development
English
United States
IN THIS EPISODE
TRANSCRIPT 🔗
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