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    • Map all your detections to MITRE ATT&CK
    • Gain new detections to address critical gaps
    • Identify and fix broken detection rules
    • Pinpoint root causes of noisy rules
    • Continuous Threat Exposure Management (CTEM)
    • Operationalize threat intelligence
    • Measure the depth of ATT&CK coverage
    • Assess and improve your detection posture
    • Embed Detection Engineering into AI SOC
    • Manage detection posture across multiple SIEMs
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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.

Book a Demo

Introducing the CardinalOps Agentic Fleet

Detection Engineering is at a breaking point. It’s a critical yet persistently under-resourced security function.
Our Agentic Fleet charts a new way forward.

Specialized agents help your engineers to improve detection quality, expand coverage, and streamline operations,
so you can focus on detection strategy and effectiveness

Coming soon to early access preview. Contact us to join the waitlist.

Charting a New Way Forward for Detection Engineering

Scale Capacity of Your Current Team

Automate manual operational tasks, enabling your lean team to operate and succeed at enterprise scale.

Reduce Noise and Improve Response

Increase signal quality and eliminate noise, so your SOC can focus on threats that matter most.

Automate SOC Feedback Loops

Incorporate triage and investigation outcomes into automated workflows that continuously refine detections.

Streamline Lifecycle Management

Reduce costs and offload operational overhead with AI-driven maintenance of large rule sets.

Meet Your Agentic Fleet Operators

Eliminates alert noise by continuously analyzing historical alert outcomes and providing precise rule tuning recommendations.

Proactively searches for hidden threats using threat intelligence, IOC feeds, behavioral analysis, and hypothesis-driven investigations

Streamlines detection rules by identifying redundant or overlapping detections to simplify the detection stack and improve efficiency. 

Maps detections to adversary behaviors, identifies the most critical coverage gaps, and finds required telemetry to create new detections and eliminate blind spots.

Powered by Cardinal AI

Agentic Workflows

Agents autonomously review your environment for coverage gaps, find and fix broken or noisy detections, identify missing telemetry, and accelerate threat hunting.

Large Language Models

LLMs support MITRE mapping, automatically reviewing environments for
current coverage, and help extract TTPs from TI 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.

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
Learn More

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Detection Stack

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Optimize your cyber defense with AI-powered detection engineering.

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