Understand threats as networks, not events.

TypeDB gives cybersecurity teams a smart database to model entities, relationships, and patterns, enabling faster, deeper detection and investigation.

Explore the STIX schema
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

TypeDB is designed to find patterns in complex systems

Cyber threat intelligence depends on understanding how things connect. Systems, users, credentials, files, and behaviors form vast, shifting networks that can’t be flattened into rows or handled with ad-hoc joins.

TypeDB models entities, relationships, and functions as first-class citizens, letting you represent meaning directly in the data itself. Constraints and type safety are maintained at all times.

In CTI, these design decisions combine into something powerful: a system that doesn’t just store threat data, but understands it. With TypeDB, analysts can interrogate a model of the environment itself. This makes threat detection faster, investigations deeper, and the conclusions verifiable.

Structure and intent

Every entity and relationship has semantic definition, ensuring consistent meaning across sources.

Functions that scale

TypeDB functions can abstract away layers of logic, hence deriving new insights automatically, detecting hidden relationships and attack paths that would take manual correlation to find.

Safety by design

The schema enforces constraints and roles, guaranteeing data integrity even as your threat graph evolves.

Browse the STIX schema

View the schema for a STIX-based open source Threat Intelligence platform built on TypeDB.

Open in GitHub

CTI with TypeDB

Organizations need strong, effective threat research databases in order to recognize and prevent attacks.

Read article

Queries as Functions

Functions provide powerful abstractions of query logic, which can be nested, recursed, or negated, and they natively embed into TypeQL's declarative patterns.

Read docs

Unify your threat data

Bring all your intelligence sources into a single semantic model. Build models that incorporate data from SIEMs, MISP feeds, and internal telemetry all into TypeDB while preserving structure and meaning.

  • Flexibly extend core entities: users, hosts, IPs, files, vulnerabilities, and incidents.
  • Capture relationships such as communicates-with, hosts, authenticates-to, and targets.
  • Keep structure enforced by schema, not convention.

Each new event enriches the graph, adding context for every future investigation. Over time, your knowledge base becomes a living map of your environment.

Result: Threat data becomes cumulative, contextual, and queryable across all sources.

TypeDB Studio

TypeDB’s schema ensures that every query and inference follows logical, auditable structures.

No more opaque correlations or “ML says so” findings, your intelligence is transparent and defensible.

  • Every response can be traced back to the source facts.
  • Role-based access and audit trails protect sensitive data using TypeDB Enterprise.
  • Works alongside your existing stack: Using TypeDB's client APIs, you can easily integrate model SIEMs, ML systems, and analytics platforms.

Result: An intelligence system your engineers and compliance teams can trust.

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11
Feedback