Hard truths,
made useful.
No thought-leadership theater. Field notes from the trenches of building, buying, and breaking security companies. We stay quiet and let the work be loud, except here.
Why We Invested in Empirical: Building Global and Local AI Models for Cybersecurity
Empirical combines global threat intelligence with customer-specific context, taking vulnerability prioritization beyond traditional CVE scoring.
Aryon: Building the Proactive Cloud Security Policy Enforcement Platform
Preventative policy enforcement embedded in the cloud control plane, stopping misconfigurations before they ever reach production.
Pi: Building Zero Recurrence Code Security for the AI CodeGen Era
Pi Security attacks vulnerability recurrence by learning how your org builds software and enforcing preventative guardrails across the lifecycle.
Artemis: Reimagining Security Operations for the AI-Era
Adaptive protection for the SOC: automating detection and response with enterprise context while staying architecturally flexible.
What everyone seems to be overlooking with Mythos and Project Glasswing
AI vulnerability discovery advantages evaporate the moment they go public. The durable edge is restructuring teams around remediation.
Onit Security: Decision-based Exposure Management at Enterprise Scale
An AI-native approach that combines business context with risk signals to autonomously eliminate vulnerability backlogs.