Our friends at GraphGeeks just released a deep-dive blog on one of the biggest breakthroughs in cybersecurity analytics: Graph-Wide Scanning.
In the article, Amy Hodler recaps a podcast conversation with David Haglin (CTO & Co-Founder, Rocketgraph) and David Hughes (Principal Solutions Architect, Enterprise Knowledge). Together, they unpack why traditional node-based graph lookups often miss stealthy, long-lived threats—and how scanning the entire graph changes the game.
Key highlights include:
- 🔎 Seeing the unseen: Detecting advanced persistent threats (APTs) that hide in low-signal data.
- 📊 Scale in action: Real-world scans traversing over 123 trillion edges to surface just a few thousand critical findings.
- ✅ New success metrics: It’s no longer about queries-per-second—it’s about completeness and coverage.
- 🤖 AI at the core: Generative AI enables analysts to ask natural-language questions, bypassing complex query languages and focusing on real insights.
- 👤 The future analyst experience: Less time wrangling data, more time solving the problems that matter.
👉 Check out the full article on the GraphGeeks blog for the complete breakdown: Graph-Wide Scanning: Solving Advanced Cyber Threats