Threat Engineering Insights
Best practices, technical guides, and lessons learned from building and operating security programs.
Threat Intelligence That Actually Works: From Feeds to Actionable Defense
Most organizations consume threat intelligence feeds but struggle to operationalize the data. Learn how to integrate threat intel into detection, response, and proactive defense in ways that reduce risk.
Security Metrics That Actually Matter: Moving Beyond Vanity Numbers
Most security dashboards are filled with vanity metrics that look impressive but don't drive decisions. Learn which metrics actually matter for measuring security program effectiveness and board-level communication.
Zero Trust Implementation: A Practical Roadmap for Enterprises
Zero Trust sounds great in theory but implementation is daunting. This guide provides a phased roadmap for enterprise Zero Trust adoption based on real-world deployments, including how to handle legacy systems and avoid business disruption.
Building Cloud Incident Response Playbooks That Actually Work
Traditional incident response doesn't translate to cloud environments. Learn how to build effective IR playbooks for AWS, Azure, and GCP that account for ephemeral resources, API-first operations, and automated evidence collection.
Reducing SOC Alert Fatigue: A Data-Driven Approach to Detection Quality
Alert fatigue is burning out security analysts and causing teams to miss real threats. Learn practical strategies to reduce noise and improve detection fidelity based on real-world SOC transformations.
Detection Engineering Best Practices: From Rules to Runbooks
Learn how to build production-ready detection rules that your analysts will actually trust, with clear documentation and automated response workflows.
SOC Automation: Building Runbooks That Actually Work
A practical guide to building automated runbooks that reduce analyst toil without creating fragile automation nightmares.
MITRE ATT&CK Detection Coverage: Quality Over Quantity
Why aiming for 100% MITRE ATT&CK coverage is a trap, and how to prioritize detection engineering for realistic threats.