Build a smarter, stronger detection posture

Automated detection engineering for your existing

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MDR/MSSP

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MDR/MSSP

Configuring and maintaining your SIEM/XDR isn’t just
hard – it’s downright painful …

That’s why many SIEM/XDRs are riddled with gaps, noisy alerts, and inefficiencies … no matter how many smart people you throw at it.

SOC managers know it. Detection engineers know it. CISOs know it. Adversaries know it too.

It’s one of the biggest challenges in cybersecurity today. That’s why we’re addressing it with MITRE ATT&CK-based analytics and automation, integrated with your existing workflows.

Learn how to make your SOC more effective

Optimize your entire security stack to reduce cost and complexity

Adding more security tools leads to increased complexity – from multiple data sources, fragmented monitoring, and challenges identifying gaps and risks. That’s why CardinalOps isn’t just another security tool.

Our platform transforms your existing security operations processes by streamlining the complex task of setting up and maintaining your SIEM – and rationalizing your entire security stack by identifying the tools that are delivering the most security value, (and the ones that are redundant or ineffective.) 

So you get the right detections, the right data sources, and the right alert fidelity.

Continuously.

SIEM/XDR complexity and constant change – the two root challenges to maintaining an efficient and effective SOC

If you didn’t have to deal with constant change in the threat landscape and a constantly-expanding attack surface – plus configuration drift – you could manage your SIEM/XDR with a “deploy once and be done’” approach.

And if you didn’t have to deal with SIEM/XDR complexity, you could – in principle, anyway – throw enough people at the problem to continuously adapt to constant change.

CardinalOps solves the double whammy of SIEM/XDR complexity and constant change with a data-driven approach to continuously ensure you have the right detections to reduce the highest priority risk; that you’re using the right data sources; with the right rules to ensure a minimum of false positives … and the right metrics to provide the feedback to know you’re doing it right.