How do you know when intelligence is actually trustworthy?
In this episode of Signals & Stories, Kali is joined by Vertex co-founder visi stark and Vertex analysts, Jen Kolde (thesilence), Mary Beth Lee (savage), and Ryann Hallback (reign) to explore one of the most fundamental questions in cyber threat intelligence: What makes reporting trustworthy?
The conversation starts with a seemingly simple distinction between accuracy and precision, but quickly expands into a broader discussion about analytical transparency, confidence, trust, public reporting, threat actor naming, AI-generated intelligence, and why good intelligence should help people make better decisions—not just present conclusions.
Some of the topics we cover include:
- Why accurate intelligence isn't always actionable - The difference between accuracy, precision, and trust - Why showing your methodology builds credibility - Confidence language and communicating uncertainty - The ongoing debate around threat actor naming conventions - Balancing timeliness with analytical rigor - Writing intelligence for different audiences - The impact of AI and LLM-generated reporting on trust
Whether you're a threat intelligence analyst, SOC analyst, security leader, or simply interested in how cybersecurity reporting is produced and consumed, this episode offers practical insights into evaluating intelligence and producing reporting others can trust.
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