Threat-Informed Detection Engineering
Unlock the full potential of your SIEM & EDR with AI-powered workflows that continuously expand coverage with threat-informed detections, so you never miss another threat.
Elevate Your SOC with AI-Powered
Detection Engineering
Automated workflows strengthen the detection capabilities of your SOC and transform
inefficient processes into threat-informed defenses–without requiring more staff or tools.
MITRE Mapping
Unified visibility of detection across SIEM & EDR, mapped to MITRE techniques for actionable insights on coverage and rule health.
- Comprehensive heatmap views of current detection coverage
- Coverage and health score benchmarks to track progress and improvements
- Filters for security layers (endpoint, network, cloud, etc.), APTs, or custom threat groups for granular insights
New Rules for Coverage Expansion
Continuous delivery of targeted new SIEM & EDR rules to fill detection gaps.
- New rules–tailored to your environment, SIEM syntax, and EDR format– developed & pretuned by expert security researchers
- Impact analyses on alert volumes using historical log replays
- Granular metrics on coverage improvement
- Support for testing and alert enrichment workflows
Fixes for Broken Rules
Identify and resolve root cause issues and stop silent rule failures, so no threat goes undetected.
- Detailed descriptions of root causes, e.g. missing log events, parsing issues, schema drift, logic errors, etc.
- Comprehensive list of affected rules
- Metrics on expected improvements to overall health score
Tuning for Noisy Rules
Fix issues that create noise and alert fatigue to enable more efficient response workflows.
- Recommendations on targeted, safe log exclusions
- AI-assisted pattern recognition and statistical analysis
- Metrics on potential alert volume reduction
Threat Intelligence Operations (TI-Ops)
Turn TI into threat-informed defenses. Upload reports and integrate TIPs or feeds, get automated threat analysis and threat-informed detections.
- Atomic TTPs are automatically extracted to assess the severity and relevance of each threat.
- See MITRE Coverage & pinpoint missing detections and telemetry gaps.
- Get curated detections, tailored to your environment, ready for review and deployment.
Unified Exposure Management
Unify visibility of detection and prevention controls, and correlate statuses of relevant assets and risk levels to streamline and prioritize remediation workflows.
- Controls dashboards summarize risk profile, with top controls & assets to remediate
- Inventory aggregates and correlates controls, assets & vulnerabilities
- Control-level views show compliance status, related TTPs, affected assets & detailed remediation steps
- Asset-level views show criticality and relevant controls
Cardinal AI
The Engine for Automated Detection Engineering
Agentic Workflows
Agents autonomously review your environment for new vulnerabilities, find effective mitigations, and help build and implement targeted remediation plans.
Large Language Models
LLMs support MITRE mapping, automatically reviewing environments for current coverage, and help extract TTPs from reports to prioritize new detections.
Generative AI
GenAI helps interpret findings across your stack, provides contextual reasoning, and evaluates different mitigations to optimize your security tools.
Agentic Detection
Engineering
Build threat-informed detections and expand coverage at the speed of AI.
- Expert agents with focused domain expertise across SIEMs, EDRs,
Threat Intelligence & relevant infrastructure - AI-assisted, human-in-the-loop development workflows
- Familiar, intuitive generative AI interface
Get More from Your
Detection Stack
