FIR Risk Platform

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AI-powered risk intelligence platform for enterprise risk, cybersecurity, and fraud teams

FIR Risk Platform  

A risk intelligence platform that combines trusted sources, AI-powered analysis, and purpose-built tools for enterprise risk, cybersecurity, and fraud teams—backed by a curated knowledge base spanning security frameworks, threat intelligence, and industry research.


The Knowledge Base  

The foundation of everything we build. Not a generic language model—a curated intelligence system.

What’s Inside:

  • MITRE ATT&CK — Adversary tactics, techniques, and procedures
  • CISA KEV — Known Exploited Vulnerabilities catalog
  • MITRE CAPEC — Common Attack Pattern Enumeration
  • MITRE CWE — Common Weakness Enumeration
  • NIST / ISO Frameworks — Regulatory and compliance standards
  • Proprietary Intelligence — Years of fraud prevention research

14,000+ indexed threat patterns, vulnerabilities, and attack techniques.

The AI doesn’t guess—it cites verified sources.


Fraud Investigation Workbench  

Stop drowning in spreadsheets. AI-assisted case management with pattern recognition and automated reporting.

Capabilities:

  • Case history and timeline tracking
  • Entity linking and pattern detection
  • AI-drafted investigation reports
  • Human-in-the-loop decision workflow

You make the call. The AI does the legwork.


Risk Evaluation Workspace  

Structured risk assessment tied to real threat intelligence.

Capabilities:

  • Risk register with deduplication
  • Control mapping to frameworks
  • Threat-informed prioritization
  • Assessment documentation

Your Data Stays Yours  

We use a split-brain architecture:

  • Public Brain — Our knowledge base (frameworks, regulations, threat intel) lives in our secure cloud
  • Private Memory — Your data stays in your environment

The Guarantee: Our AI reads your data to solve problems. It never trains on it. Your secrets don’t become our product.


Request Access  

The FIR Risk Platform is currently in early access with select organizations.

Request Early Access →