When synthetic logs don’t lie: Generating coherent attack stories for better detection

About this episode

This episode discusses the limitations of traditional synthetic data in detection rules and introduces EvidenceForge as a solution.

Are your detection rules failing because your test data lacks the nuance of a real-world network? In this episode of Talos Takes, Amy sits down with David Bianco to discuss why traditional synthetic data often falls short and how his new open-source project, EvidenceForge, is changing the game. Synthetic datasets often look like telemetry but lack the critical causal links and realistic background noise that define actual adversary activity. EvidenceForge solves this by creating data th...

People in this episode

Host: Amy

Guest: David Bianco

Topics covered

• synthetic data
• detection rules
• cybersecurity
• EvidenceForge
• real-world networks

Keywords

• synthetic logs
• detection
• cybersecurity
• EvidenceForge
• attack stories

Mentioned in this episode

Organizations: EvidenceForge, Cisco Talos

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