AI & Deep Learning
Rankiteo uses advanced AI and deep learning models to analyze billions of data points across the internet, predicting cyber risk with unprecedented accuracy. Our proprietary neural networks identify vulnerability patterns, assess threat landscapes, and quantify exposure for every company we cover.
- Natural language processing for threat intelligence
- Custom deep learning models for risk scoring
- Computer vision for phishing and brand abuse detection
- Automated vulnerability pattern recognition
MCP for LLM Integration
Rankiteo is a pioneer in adopting the Model Context Protocol (MCP), the open standard that lets AI assistants directly access our structured cyber risk data. Through MCP, any LLM can query Rankiteo in real time: company scores, incident histories, supply chain maps, all without custom integrations.
- Native MCP server for structured data access
- Real-time company risk profiles for AI agents
- Compatible with all major LLM platforms
- Standardized schema for cyber intelligence
Resilient Infrastructure
Our platform runs on a multi-cloud, multi-region infrastructure designed for 99.9% uptime. We combine global cloud providers with high-performance bare-metal servers, fronted by enterprise-grade CDN and DDoS protection for sub-50ms edge delivery worldwide.
- Multi-cloud, multi-region deployment
- Enterprise-grade CDN and WAF for edge security
- Container orchestration for auto-scaling
- Real-time observability and alerting
Big Data Pipelines
Rankiteo processes petabytes of internet scan data, DNS records, certificate transparency logs, dark web feeds, and public filings. Our distributed search clusters index hundreds of millions of documents, enabling sub-second queries across the full history of every company's digital footprint.
- Distributed search across 500M+ documents
- Real-time ingestion from 40+ data sources
- Serverless data processing at scale
- Automated ETL pipelines with deduplication
Monte-Carlo Simulation
At the heart of Rankiteo's cyber insurance quantification engine lies a Monte-Carlo simulation framework that runs thousands of stochastic scenarios per company. We model loss distributions, aggregate portfolio exposure, estimate probable maximum loss (PML), and generate VaR metrics that underwriters trust for pricing and capacity allocation.
- 10,000+ simulations per risk assessment
- Stochastic frequency-severity modeling
- Portfolio-level aggregate loss curves
- VaR, TVaR, and PML at configurable confidence levels
Built for the future of cyber intelligence
From AI-driven risk assessment to Monte-Carlo insurance modeling, Rankiteo combines cutting-edge technology with deep domain expertise to deliver the world's most comprehensive cyber risk platform.