CardinalOps offers a unified exposure management platform that continuously evaluates, tunes, and expands detection rules across SIEM, EDR, and other security tools. Using AI to extract atomic TTPs from threat intelligence, it automatically generates MITRE‑ATT&CK‑aligned rules, fixes noisy or broken alerts, and provides gap analysis with coverage dashboards to help SOC teams reduce false positives and shorten detection and response times.
Funding
$24M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
IVFounders
Product
Problem
Security operations centers (SOCs) struggle with detection rule drift, noisy or broken alerts, and incomplete coverage of adversary techniques, leading to blind spots that allow attacks to go unnoticed.
Solution
CardinalOps provides a unified exposure management platform that continuously evaluates and optimizes detection rules across SIEM, EDR, and other security tools. Using AI-driven threat intelligence, the platform automatically maps detections to the MITRE ATT&CK framework, identifies gaps, and generates new, technique‑specific rules. It also tunes existing rules to reduce false positives and repairs broken logic caused by infrastructure changes. The system tracks coverage over time, delivering actionable dashboards and automated remediation workflows that help security teams shorten mean time to detection and response.
Target Audience
Primary customers are security engineering and SOC teams in mid‑size to large enterprises that manage multiple detection platforms and need to maintain comprehensive, low‑noise detection coverage.
Features
- AI‑powered extraction of atomic TTPs from threat intel and automatic generation of MITRE‑aligned detection rules
- Continuous validation of rule effectiveness, with automatic fixing of broken or noisy detections
- Coverage measurement and gap analysis across the full ATT&CK matrix, visualized in trend dashboards
- Agentic mitigation workflows that recommend and orchestrate compensating controls for high‑risk exposures
- Integration layer that consolidates data from SIEM, EDR, VM, CSPM, and other tools into a single exposure view
- Natural‑language AI assistant (Wingman) for interactive query, remediation planning, and control validation