Never Miss Another Threat
Eliminate blind spots and unmask stealthy adversaries with AI-powered detection engineering.
Eliminate Gaps & Elevate Your SOC
Get unified SIEM and EDR visibility, map all detections to MITRE ATT&CK and continuously expand and improve coverage with AI-assisted, human-in-the-loop workflows.
Unlock the Full Potential of Your SIEM & EDR
Automatically tune noisy rules to reduce false positives, fix broken rules, and detect threats earlier
to shorten dwell time and improve MTTD/MTTR.
Continuously Expand & Improve Coverage
Establish baseline coverage against key adversary techniques, identify and close gaps
by continuously adding threat-informed detections, and track improvements over time.
Accelerate Detection Workflows with Cardinal AI
Leverage AI-powered processes that automatically extract atomic TTPs from threat intelligence and
generate new rules for specific APTs and campaigns.
Trusted by leading security teams across the globe
The Detection Dilemma
Blind Spots, Missed Threats & Manual Toil

Visibility Gaps
Mapping SIEM and EDR detections to MITRE ATT&CK is slow and painful. Without a reliable baseline for coverage, SOC teams are flying blind.

Broken, Noisy Rules
Changes to infrastructure, logs, and schemas break detection logic. Rules create false positives or stop working altogether, increasing risk of undetected threats.

Reactive Defenses
Without automating detection insights into threat-informed defenses, engineers fill the gap with reactive, manual workflows. TI looks impressive but doesn’t actually improve readiness.
Threat-Informed Detection Engineering, Powered by Cardinal AI
MITRE mappings provide a continuously updated, unified view of coverage:
- Rule health & coverage scores
- Specialized AI- and ML-powered analytics
- Unified multi-tenant views across SIEM & EDR
Get new rules–in your SIEM’s native syntax or EDR’s format (e.g. IOAs)–to fill gaps.
- Native API connections
- CI/CD support
- Reference catalog of 8,000+ curated detection rules
Fix common issues that cause broken rules and noisy rules, and get high-fidelity alerts.
- Proprietary rule validators
- Root cause identification
- Statistical impact analysis on resulting alert volumes
Translate TI into threat-informed defenses with tailored rules for priority TTPs.
- Support for TIPs and TI reports and feeds
- AI-powered TTP mapping
- Seamless report uploads and API-based TIP integrations
Learn How to Level Up Your Security
-
Is Your SOC AI-Ready? The AI SOC Transformation Blueprint
Is your SOC AI-ready? If so, how should detection engineering guide AI strategy and implementation? With all the hype, it’s tempting to just deploy AI and figure it out as you go. But without the
-
Detection Gaps: The Silent Threat Weakening Your SOC
Security teams are under constant pressure to do more with less. Budgets rarely keep pace with the explosion of threats, while the complexity of modern IT environments continues to grow. SOC leaders invest heavily in
-
Closing Falcon EDR Gaps with Automated Delivery of New IOA Rules
Managing a threat-informed detection posture across your full security stack is no small task–even for large, leading-edge enterprise security teams. That’s why we’re excited to help our customers unlock the full potential of their CrowdStrike
-
CardinalOps Launches Cardinal AI for Agentic Exposure Management
Introducing Autonomous, Targeted Mitigations via Compensating Controls BOSTON and TEL AVIV, Israel, July 29, 2025 /PRNewswire/ — CardinalOps, the leading Unified Exposure Management platform, today announced the launch of Cardinal AI, a new suite of artificial intelligence capabilities designed to
-
The Art of Anomaly Hunting: Learning from Legitimate Patterns for Detection
When writing detections based on threat reports, research blogs or other sources, common sense dictates that we should find a way to alert on the malicious actions as best as possible, ideally using TTPs. This
-
Vulnerability vs Exposure Management: How Context & Exploitability Clarify True Risk
Traditional vulnerability management is great at telling you what’s broken–just ask the team managing your neverending backlog of vulnerability findings. But it’s not great at incorporating context on your specific threat landscape and attack surfaces.
-
Detection for CTEM: When One Good Detection Is Worth Dozens of Patches
IT and security teams have been pushed for years: just patch faster. Automate remediation. Chip away at that vulnerability backlog (and do it quickly). But speed isn’t the only problem, context matters too. It’s critical
-
2025 State of SIEM Report
In our fifth annual report, CardinalOps analyzed a range of production SIEM environments to evaluate the coverage, health and overall performance of enterprise threat detection programs. This report includes the data of 13,000 detection rules
-
The CardinalOps RSA Conference 2025 Hype Guide
Soon over 40,000 people will gather in San Francisco for this year’s RSA conference. Many consider RSAC the industry’s most significant event (though Black Hat / DEF CON would disagree…). Legions of vendors, practitioners, investors,
-
Leveraging Metrics in Google SecOps SIEM for Enhanced Threat Detection
Google Security Operations (SecOps) SIEM offers powerful tools for threat detection, and one of its most valuable features is the use of metrics within YARA-L rules. Metrics allow you to aggregate historical data over extended
Never Miss Another Threat
Gain complete visibility of your detection stack, map detections to relevant threat actor tactics and techniques, and build threat-informed defenses with AI-assisted workflows. Set up a demo with our detection experts and start elevating your SOC today.



