Todays environments are multi-cloud, SaaS-heavy, containerized, API-driven, and identity-centric, which creates far more data and complexity. Teams that move to modern data pipelines and data lakes get better scale, flexibility, and cost control. But they
Security has become a data challenge. Identifying threats in the AI era depends on complex data engineering processes, but legacy tools and infrastructure force a painful tradeoff: either collect and store everything and sacrifice your
Exploding telemetry, sprawling detection stacks, and increasingly adaptive, AI-enabled adversaries have pushed detection engineering beyond sustainable limits. It’s time for a new model to take flight. In this session, CardinalOps Director of Product Management Ilan
The CardinalOps Agentic Fleet equips your team to succeed in the AI era. Purpose-built agents continuously improve signal quality and expand coverage, transforming detection engineering into a scalable, adaptive system. Built on decades of practitioner
For years, security operations leaders have been pushing a simple but powerful idea: shift detection engineering left. Treat detections as code, manage them through lifecycle processes, map to adversary behaviors, then continuously tune, validate, and
Recent news of a cyberattack targeting global medical technology manufacturer Stryker is another reminder that even highly sophisticated organizations remain vulnerable to modern cyber threats. The attack reportedly disrupted corporate systems and forced employees offline
Traditional SIEM architectures are under increasing strain as modern environments generate massive volumes of security telemetry from cloud, SaaS, containerized workloads, and identity systems. As data volumes grow, organizations face rising SIEM costs and operational
Our blog recently outlined the top 10 reasons why rules silently fail, drawing on extensive analysis of SIEM rules in diverse enterprise environments. Check out five of the top 10 causes in part one, and
Our security research team continuously analyzes high volumes of rules across diverse production SIEM environments–Splunk, Microsoft Sentinel, CrowdStrike next-gen SIEM, and Google SecOps (formerly Chronicle), and more–securing global enterprises with multiple billions of dollars in
Over time, SIEM environments drift. Tooling expands, infrastructure evolves, and the engineers who built detections move on. In the process, rules quietly break. Ingestion pipelines are flowing, the dashboards still light up, but underneath, key
Key Context: What Is LOLBAS Anyway? LOLBAS (Living Off The Land Binaries, Scripts, and Libraries) are legitimate Windows tools and binaries that attackers abuse to perform malicious actions without using custom malware. One of the
Detection engineering isn’t just about finding bad behavior. It’s about understanding how attackers appear normal—on accident or by design. Some of the most successful evasion techniques don’t involve zero-days or encryption. They rely on you writing