Tech riderRev. 20 Sept 2026
  1. 1Runs onAPI, self-hosted, Web
  2. 2CostsNot stated by the maker
  3. 3Indicator enrichmentYes
  4. 4Workflow automationYes
  5. 5Deploymentself-hosted
4 lines stated Written from the maker's own pages: yeti-platform.io

Overview

Yeti is ranked #27 of 31 in threat intelligence platforms on Specifiction. It runs on API, Self-hosted, Web.

Compared on threat intelligence platforms

Free plan
Yesyeti-platform.io
Indicator enrichment
Yesyeti-platform.io
Workflow automation
Yesyeti-platform.io
Deployment
self-hostedyeti-platform.io

Facts

Purpose
Yeti describes itself as a Forensics Intelligence platform and pipeline for DFIR teams, intended to bridge CTI and DFIR practitioners.yeti-platform.io · 9 Oct 2026
Intelligence management
Yeti stores and manages DFIQ objects, forensic artifact definitions, Sigma and Yara rules, reusable queries, and technical and tactical CTI.yeti-platform.io · 9 Oct 2026
Search
Yeti supports bulk searches of observables and can help identify a threat and how to find it on a system.yeti-platform.io · 9 Oct 2026
Threat context
Yeti can list TTPs, malware, and related forensic artifacts for a selected threat.yeti-platform.io · 9 Oct 2026
Data sources and exports
Yeti can incorporate user data sources, analytics, and logic, and export data in user-defined formats for third-party SIEM and DFIR applications.yeti-platform.io · 9 Oct 2026
API
Yeti provides a REST API, including endpoints for importing observables from text, files, and URLs.yeti-platform.io · 9 Oct 2026
Installation
The documented supported installation method uses dedicated Docker containers and requires Git, Docker, and the Docker Compose plugin.yeti-platform.io · 9 Oct 2026
Web interface
The getting-started guide runs Yeti on a server and opens its web interface at localhost on port 80.yeti-platform.io · 9 Oct 2026
Integration example
Yeti documents a GitHub Monitor plugin that uses a GitHub token and a GitHub query type.yeti-platform.io · 9 Oct 2026
Threat intelligence
It stores technical and tactical CTI, including observables, TTPs, and campaigns, from internal or external systems.yeti-platform.io · 9 Oct 2026
Data model
Yeti organizes information as observables, entities, and indicators, which can be linked into threat graphs.yeti-platform.io · 9 Oct 2026
Indicators
Indicators can match observables and apply tags; the web UI supports text-based Regex and Yara matching, while Query and Sigma indicators are intended for automation with other systems.yeti-platform.io · 9 Oct 2026
Automation
Python tasks support scheduled or on-demand analytics and feeds, while exports can select observables and render them to disk with a Jinja template.yeti-platform.io · 9 Oct 2026
Enrichment
The documentation gives VirusTotal data enrichment as an analytics example and says analytics can be extended with private scripts.yeti-platform.io · 9 Oct 2026
Integrations
Yeti describes exporting data in user-defined formats for ingestion by third-party SIEM and DFIR applications.yeti-platform.io · 9 Oct 2026
Timesketch
Yeti documentation describes using Query indicators with Timesketch sketches and tagging matching events.yeti-platform.io · 9 Oct 2026
Open source
The project’s GitHub repository identifies its license as Apache-2.0.github.com · 9 Oct 2026
MISP collaboration
Yeti and the MISP Project announced collaboration using the MISP standard format and STIX to support information exchange and interoperability.yeti-platform.io · 9 Oct 2026

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Sources