Built differently. Built for the AI era.
Whisper is a custom graph engine built from first principles. Real-time ingestion, millisecond queries, AI-native by design.
Why we built our own graph engine
General-purpose graph databases couldn’t handle the scale. The query patterns we needed simply don’t work on existing solutions.
Billions of nodes and edges
Millions to low billions
Millisecond-scale average
Seconds to minutes at scale
Continuous streaming
Batch import only
IPv4, IPv6, CIDR, ASN — first-class types
Everything stored as strings
Built-in from day one
Not available
Architecture: four layers
From raw data ingestion to AI-native delivery. Each layer is purpose-built.
Data Ingestion
7 source types ingested continuously with real-time BGP streaming, DNS, WHOIS, and DNSSEC posture. Hundreds of millions of records processed daily.
Why Cypher is the right query language for the AI era
We implemented a full Cypher engine from scratch — because Cypher has a decisive advantage in the age of AI agents: LLMs already understand it.
Every major LLM can generate syntactically correct Cypher queries from natural language descriptions. The result: any AI agent connected via MCP can immediately query the full graph without custom prompt engineering or fine-tuning.
This reduces context costs and development time compared to competitors who use proprietary query interfaces.
The Cypher-native approach means any MCP-connected agent can traverse the full internet graph using a query language it already knows. No training required.
-[:RESOLVES_TO]->(ip:IPV4)
<-[:RESOLVES_TO]-(cohosted:HOSTNAME)
WHERE cohosted.name <> h.name
RETURN cohosted.name AS domain,
ip.name AS shared_ip,
cohosted.threatScore AS risk
ORDER BY risk DESC
LIMIT 50
Under the hood
What makes millisecond-scale traversal at billion-node scale actually possible.
Zero-GC Architecture
No garbage collection pauses, ever. Predictable single-digit-millisecond server-side latency.
Native Internet Data Types
IPv4, IPv6, CIDR ranges, ASN numbers, and FQDNs are first-class data types in the engine, not strings. Range queries, containment checks, and prefix matching are instant.
Real-Time Streaming
Continuous ingestion of BGP feeds, DNS changes, DNSSEC DS records, and zone file updates. The engine processes routing announcements, withdrawals, and path changes in real time — detecting anomalies as they propagate, not hours later.
Explainable Scoring
The dual scoring model is built on mathematical foundations from information theory. Every risk score includes the complete chain of evidence — a deterministic, auditable explanation traceable to specific infrastructure signals.
Scale and efficiency
Where Whisper is different
BGP + Threat Intel Correlation
No other platform correlates real-time BGP routing data with threat intelligence feeds. This is how we score ASN reputation based on actual network behavior, not just blocklists.
Billion-Scale Graph + Millisecond Queries
The combination doesn't exist elsewhere. General-purpose graph databases can't handle this scale at this speed. Custom solutions don't cover internet infrastructure.
Explainable Scoring from First Principles
Every risk score includes the complete chain of evidence. Not a black-box ML confidence score — a deterministic, auditable explanation traceable to specific infrastructure signals.
MCP-Native Threat Intelligence
First threat intelligence platform with built-in MCP support. AI agents get structured, real-time internet infrastructure context without custom integrations.
ASN Reputation from Network Behavior
We detect bulletproof hosting, BGP hijacking patterns, and suspicious network behavior by scoring ASNs on what their networks actually do.
Native Internet Data Types
IPv4, IPv6, CIDR, ASN are first-class types in the engine. Range queries, containment checks, and prefix matching are instant.
See it in action
Connect your AI agent or query the graph directly. Free to start.