MISP vs Yeti: when each one fits and what decides it
A security team choosing a self-hosted intelligence store has to settle one question first: must it share indicators with other organizations, or does it mainly need intelligence at hand while it investigates an incident? MISP fits the first case. It is built around sharing communities, and its instances synchronize events with each other under distribution levels and sharing groups, so a team can control who receives what. It also correlates indicators and exports to STIX 1 and 2, CSV, and Suricata, Snort and Zeek rule formats through its REST API, which suits a team that publishes detections to peers, a national computer emergency response team, or an industry sharing group. The reader should confirm which sharing communities their organization already belongs to and which export formats their partners and sensors consume.
Yeti fits a different job. Its own description positions it as a forensics intelligence platform for DFIR teams, storing DFIQ objects, forensic artifact definitions, Sigma and YARA rules and reusable queries next to threat intelligence, with Timesketch and MITRE ATT&CK integration. A responder who needs to pivot from an observable to the artifacts that explain it, and to run saved queries during a case, gets more from Yeti than from a sharing-first store. The licenses differ too: MISP is under AGPL-3.0 and Yeti is under Apache-2.0, so legal review of how each will be modified and offered to others is a separate step from the functional choice.
The decision turns on three checks. First, sharing versus consuming: if outbound publication to partners is a requirement, MISP's synchronization model is the starting point, and if the store is mainly read during investigations, Yeti's artifact and query model is the closer match. Second, who the users are: analysts who curate and distribute events have different needs from responders who look up and enrich during a case. Third, how much forensic workflow sits beside the intelligence, including whether Timesketch is already part of the investigation process. Teams that need both should pilot each tool against a recent case and a recent sharing exchange before committing, and should ask any implementation partner to state in writing which integrations, data imports and access controls are in scope.
Which platform fits which team scenario
This table maps common team scenarios to the platform that fits better and the condition under which the other one would win. Read each row as a starting point for your own requirements, since sharing rules, data volumes and existing tooling can shift the answer. The main takeaway is that MISP fits teams whose core work is exchanging indicators with other organizations, while Yeti fits teams whose core work is investigation and forensic reuse.
| Scenario | Better fit | Reason and condition for the other platform |
|---|---|---|
| ISAC or sector sharing group | MISP | MISP is built around sharing communities, distribution levels and sharing groups, and synchronizes events between instances. Yeti would be the better choice only if the group mainly needs a private analyst repository and does not exchange events with peers. |
| SOC that consumes feeds | MISP | MISP correlates indicators and exports to Suricata, Snort and Zeek rule formats through its REST API, which suits feed-driven detection. Yeti fits better if the SOC's real need is pivoting through artifacts and queries during triage rather than pushing rules to sensors. |
| DFIR team running timeline investigations | Yeti | Yeti stores forensic artifact definitions, DFIQ objects, Sigma and YARA rules and reusable queries, with Timesketch integration. MISP is the better choice if timeline work must be paired with formal sharing of findings to external partners. |
| Multi-entity organization with separate sharing rules | MISP | MISP distribution levels and sharing groups let each entity control what leaves its boundary. Yeti does not center on sharing controls, so confirm its access model against your requirements before choosing it for this case. |
| Small team with one analyst | Yeti | A single analyst mainly needs a place to store and reuse investigation knowledge, which matches Yeti's repository model. MISP is the better choice if that analyst must also maintain sharing relationships with other organizations, which adds ongoing administration. |
| Team that must share intelligence with external partners | MISP | Synchronization between instances and sharing groups are core MISP features. Confirm which sharing workflows your partners already use, since they may expect a specific format such as STIX 1 or STIX 2. |
| Team building detection from forensic findings | Yeti | Sigma and YARA rules sit alongside artifacts and queries in Yeti. MISP is the stronger option when detection content must be distributed to many consumers using its export formats. |
How MISP and Yeti are built and what that means for operations
MISP and Yeti both store threat data, but they were built for different jobs, and that shapes what your team runs, upgrades and backs up. The cards below compare sharing model, stack, licensing, release cadence, stored data and day-to-day work so you can match the platform to who maintains it.
Sharing model and synchronization
MISP is designed to move events between instances. Distribution levels and sharing groups decide which partners receive each event, and synchronization carries that policy across organizations. Before you connect to a community, confirm who can read what you publish, how sync is authenticated, and who reviews incoming events. A standalone Yeti deployment has no equivalent sharing layer, so partner exchange would be a separate project.
Python, FastAPI and ArangoDB stack
Yeti is built in Python with FastAPI and stores its data in ArangoDB. Your team needs Python and ArangoDB skills to operate it, and database tuning, indexing and backups become part of the platform's upkeep. Confirm the supported ArangoDB versions, hosting requirements and backup approach with the Yeti project documentation and your own environment before you commit.
Licenses behind each platform
MISP is licensed under AGPL-3.0, and Yeti is licensed under Apache-2.0. The AGPL asks for source availability when you modify and offer the software over a network, which matters if you change MISP for internal teams or a partner portal. Apache-2.0 carries fewer conditions on modification. Have counsel confirm how each license applies to your planned customizations.
Release cadence and upgrade planning
MISP publishes a current 2.5 line and maintains a 2.4 line with patches, so you can choose a supported branch deliberately. Yeti moves on its own release schedule. Plan each upgrade as a tested change: read the release notes, rehearse on a copy of your database and, for MISP, confirm which line you run. Confirm the upgrade steps and supported paths with each project's documentation.
Data each platform stores
MISP stores events, attributes, objects, taxonomies and galaxies, organized for distribution and correlation of indicators. Yeti stores indicators alongside DFIQ objects, forensic artifact definitions, Sigma and YARA rules and reusable queries, with Timesketch and MITRE ATT&CK integration. The choice is whether your primary record is a shareable indicator or an investigative object. Map your existing data to each model before migration.
Operational work for the platform owner
Running MISP usually means managing sync partners, distribution policy, feed ingestion and user access across organizations, which is continuous governance work. Running Yeti usually means maintaining analyst-facing content such as artifact definitions, rules and queries and keeping the database healthy. Ask who on your team owns each job, how much time that owner can give, and whether a retainer or fixed-scope engagement covers the gap.
MISP and Yeti capabilities compared side by side
This table compares MISP and Yeti on license, purpose, sharing, export, correlation, DFIR content, integrations and implementation stack. Read each row with the question of whether your team shares indicators with others or mainly looks up and stores forensic knowledge during investigations.
| Capability | MISP | Yeti |
|---|---|---|
| License | AGPL-3.0 | Apache-2.0 |
| Primary purpose | Collecting, storing, distributing and sharing cyber security indicators and threats | Forensics intelligence platform and pipeline for DFIR teams |
| Synchronization between instances | Synchronizes events between MISP instances (confirm the exact sync configuration with the MISP project documentation) | Confirm with the Yeti project whether instance-to-instance synchronization is supported |
| Distribution levels and sharing groups | Supported, controlling who receives each event and through which sharing groups | Confirm with the Yeti project whether equivalent distribution controls exist |
| Export formats | STIX 1 and 2, CSV, and Suricata, Snort and Zeek rule formats via REST API | Confirm supported export formats with the Yeti project |
| Correlation | Correlates indicators across events | Confirm correlation behavior with the Yeti project |
| Forensic artifact definitions | Not a primary focus (confirm with the MISP project) | Stores forensic artifact definitions alongside threat intelligence |
| Sigma and YARA rules | Confirm rule storage and handling with the MISP project | Stores Sigma and YARA rules alongside threat intelligence |
| Reusable queries | Confirm with the MISP project | Stores reusable queries alongside threat intelligence |
| DFIQ objects | Not described in supplied project materials (confirm with MISP) | Stores DFIQ objects |
| Timesketch and MITRE ATT&CK integration | Confirm integration options with the MISP project | Integrates with Timesketch and MITRE ATT&CK |
| Implementation stack | Self-hosted MISP instance (confirm current component requirements in the MISP documentation) | Python with FastAPI and ArangoDB |
What the MISP and Yeti licenses allow and what they cost to use
MISP is licensed under AGPL-3.0, a strong copyleft license. In plain terms, anyone can run, study, and modify MISP without paying a license fee. The main obligation arises when you modify MISP and make that modified version available to others, including over a network. In that case, the AGPL-3.0 requires you to offer the source code of your modified version to the users who interact with it. Running an unmodified copy for internal use creates far fewer obligations, but the boundary between internal and external use is exactly the point counsel should review.
- License source: The project publishes its LICENSE file in the MISP repository on the 2.5 branch, so the terms you review should match the version you deploy.
- Current release lines: MISP 2.5.50 was released on October 10, 2026, and the 2.4 line still received 2.4.221 on September 17, 2026. Confirm which line your integrations and sync partners expect before you choose.
- Network use: AGPL-3.0 treats offering a modified program over a network as distribution, so a modified MISP that serves a partner or customer may trigger source disclosure.
- No paid edition for core features: MISP's sharing, synchronization, and export features are described on the project features page. Confirm with the project that every feature you need is in the open-source release.
- Operating cost: The license itself costs nothing. Budget for the server, the staff who maintain it, and any custom integration work.
Before deployment, ask counsel to confirm how AGPL-3.0 applies to your planned modifications and hosted use, including sync with external partners.
Yeti is licensed under Apache-2.0, a permissive license. You can use, modify, and redistribute Yeti, including in proprietary internal tooling, provided you keep the license and notices and follow its terms on attribution and patents. Unlike AGPL-3.0, Apache-2.0 does not require you to publish source code for modifications you run privately or offer as a service. This makes internal customization and hosted deployment simpler from a licensing standpoint, though it does not remove the need for a clear internal policy on what you change and who sees it.
- License source: The Apache-2.0 terms are published in the Yeti GitHub repository, and the license text is the reference for attribution and notice requirements.
- Current release: Yeti 2.12.0 was released on October 2, 2026, according to the Yeti releases page. Pin the version you test and record it in your change management system.
- Permissive reuse: You may build internal connectors, forensic artifact definitions, or dashboards without releasing them, subject to the Apache-2.0 attribution and notice terms.
- Contributed code: Apache-2.0 includes a patent grant from contributors, which many legal teams review as a positive point when assessing open-source components.
- Operating cost: The license is free. Costs come from hosting the Python, FastAPI, and ArangoDB stack, staff time, and any implementation work.
Before deployment, confirm with the Yeti project which features and integrations you need are provided in the open-source release, and have counsel review your attribution and notice obligations.
What drives the running cost of MISP and Yeti
The running cost of both platforms is mostly staff time and hosting inside your own environment, not licence fees, because MISP and Yeti are both released under open-source licences (AGPL-3.0 for MISP, Apache-2.0 for Yeti). Neither product carries a per-seat or per-instance charge from its maintainers, so the recurring budget sits in the infrastructure you run, the people who operate it, and any outside help you buy. For MISP, the one-time work is the initial deployment, the sharing-group design and the decision on which partner communities to join. The recurring work is upgrades (the current release is 2.5.50 and the 2.4 line still receives patches, so your upgrade cadence determines how much effort each cycle costs), synchronization monitoring, and ongoing trust management: reviewing which organizations receive which distribution levels and revoking access when a partner leaves. Ask any vendor or partner to price these as separate line items so you can see which ones scale with the number of sharing partners.
For Yeti, the cost profile is different. The platform runs as a Python and FastAPI application on ArangoDB, so the infrastructure line is a single application and database footprint that you size against your artifact volume and analyst count. The larger recurring cost is content: forensic artifact definitions, Sigma and YARA rules, DFIQ objects and reusable queries need an owner who reviews them as your environment and threat picture change, and analysts need time to learn the data model before they get value from it. Ask whether the content maintenance is budgeted as internal analyst time or as outside work. Outside services, whether a fixed-scope implementation agreement or an ongoing retainer for upgrades and support, should be quoted from a written scope that names the MISP or Yeti version, the hosting environment, the integrations (Timesketch and MITRE ATT&CK for Yeti, sync and export for MISP), and the handover documentation you will receive.
When you request quotes, ask for these items explicitly: the one-time deployment and integration work, the recurring upgrade and support hours, who performs sharing-agreement and trust reviews, the hosting assumptions (instance count, database sizing, backup retention), the training scope for analysts, and the terms for changing scope after signature. Confirm current licence terms directly with each project, since the licence text is the authority rather than this summary. Plan for two cost risks: a sharing community that grows faster than your review process, which raises trust-management effort on the MISP side, and an analyst team that adopts Yeti before its content owner is named, which leaves artifact definitions out of date and erodes the value of the platform.
How to move intelligence from MISP to Yeti or the reverse
This sequence moves indicators, context and sharing rules between MISP and Yeti without losing track of what was shared, with whom and under which distribution level. The output is a validated target dataset, rebuilt detections and a documented cutover that the team has run in parallel first.
Inventory events, indicators and sharing agreements
Start by listing what the source instance holds: events, attributes, objects, tags, galaxies, taxonomies, feeds, and the sharing groups or community connections each event uses. Record which intelligence is consumed internally, which is shared with partners, and which connections depend on the instance itself. Include the detection rules, such as Suricata, Snort or Zeek content, that are generated from MISP. The step is done when the team has a written inventory signed off by the owner of each sharing agreement.
Decide what stays shared externally
Before any data moves, decide which events remain in MISP for synchronization with partners and which move to the target platform for internal investigation use. Moving an event out of MISP does not withdraw data that partners already pulled, so confirm with each sharing partner how they expect withdrawals and updates to be handled. Confirm the agreement in writing. The step is done when every event has one owner and one destination, with no event left in limbo between the two systems.
Map attributes and objects to the target model
MISP organizes data as events, attributes, objects and tags. Yeti organizes data as observables, indicators, entities and links, and it stores forensic artifacts, DFIQ objects, Sigma and YARA rules and reusable queries alongside them. Build a mapping table that states, for each MISP attribute type and object template, the Yeti object it becomes, and which context is kept as tags or notes. Mark every row as direct, approximate or unmapped. The step is done when the table has been reviewed by an analyst who uses both systems daily.
Export, transform and validate the data
Export the in-scope events through the MISP REST API in a format that preserves the most context, then transform them using the mapping table. Confirm the supported export formats for your MISP version, because the features page lists STIX 1 and 2, CSV and rule formats, and the exact fields may differ by release. Load a sample into a test Yeti instance and compare counts, types, timestamps, tags and relationships against the source. The step is done when the sample reconciles and every discrepancy is logged with a decision.
Rebuild integrations and detection content
Rebuild the feeds, enrichment lookups and rule pipelines that depended on MISP. Consumers of MISP output, such as firewall or IDS updates, need to be pointed at the new source or at a regenerated rule set. Yeti rule content, such as Sigma and YARA, should be tested against known samples before it replaces anything in production. Confirm the Yeti connector and API behavior for your release in its documentation. The step is done when each integration has a named owner, a test case and a passing result.
Run both systems in parallel
Keep MISP and Yeti receiving the same new intelligence for an agreed observation period, and compare what each system produces for analysts and for partners. Track missed indicators, duplicate records and any detection that fires in one system but not the other. Set the observation period in the migration plan rather than relying on a default, since the right length depends on your intake volume and the number of sharing partners. The step is done when the discrepancy log is empty or every open item has an accepted risk.
Cut over and retire the old instance
Switch consumers to the new system, disable the old synchronization and feed jobs in a controlled order, and keep a read-only, encrypted backup of the retired instance for the retention period your policy sets. Notify sharing partners of the change and of any withdrawn connections. Remove the old instance only after the backup has been restored and tested. The step is done when the change record shows every consumer switched, the backup verified and the decommissioning approved.
Where MISP and Yeti implementations usually run long
Most MISP overruns start before the software is installed. A MISP deployment only has value once the team has agreed who may see what, and that agreement lives in distribution levels, sharing groups and the synchronization links to partners. Each partner needs a decision on which events flow out, which fields are stripped, whether attributes marked for correlation should leave the instance, and who approves a new sync connection. Teams that skip this step often rebuild their event tagging and distribution settings two or three times once the first partner asks for data. Before work starts, ask the implementer to list every sharing community in scope, the distribution level expected for each, and who signs off on changes. Confirm that the MISP version you plan to run matches the release line your partners use, since the current MISP release is 2.5.50 and the 2.4 line still receives patches.
Yeti overruns usually come from content, not from the platform. Yeti stores DFIQ objects, forensic artifact definitions, Sigma and YARA rules and reusable queries, so the work is deciding which of these the DFIR team will maintain and how they are named, tagged and linked to MITRE ATT&CK techniques. Without written conventions for query naming and rule ownership, the library grows unevenly and analysts stop trusting it. The Timesketch integration adds a second design decision: which artifacts and queries should feed timelines, and who reviews them when an investigation changes. A useful check is to run one closed case through the planned workflow end to end and time each handoff before committing to a full library build.
For both platforms, scope, deliverables and timelines are agreed in writing before any fixed-scope work begins, so the sharing rules, artifact conventions and Timesketch workflow should appear in that document as named deliverables. DeployOpen does not publish a price list, so the quote follows from the written scope. Ask for the cost of each deliverable separately: integration and configuration, sharing or content design, testing with partners or analysts, and documentation. Ask which items are one-time and which recur, such as upgrades, ongoing support or continuous testing, which are available as retainers. Clear acceptance criteria for each item are the main protection against an open-ended project.
Questions buyers ask before choosing MISP or Yeti
How much does a MISP or Yeti deployment cost?
Neither platform carries a software license fee under its license, since MISP is licensed under AGPL-3.0 and Yeti under Apache-2.0, so most of the cost is people, infrastructure and upkeep. The main drivers are hosting in your cloud account or data center, storage and backup, the number of feeds and connectors to build, identity and SIEM integration, and analyst time spent on tuning. One-time costs usually include design, initial integration and documentation. Recurring costs include hosting, patching, upgrades and staff time. DeployOpen does not publish a price list. Ask any quote to itemize fixed-scope deliverables, which upgrades or retainers are included, and what your team must supply.
How long does a MISP or Yeti implementation take?
The timeline depends on scope, so no single duration applies to either platform. The biggest drivers are the number of intelligence feeds and connectors, whether MISP will synchronize with partners or stay internal, identity integration, how many data sources feed Yeti such as EDR exports or Timesketch, custom taxonomies or artifact definitions, and change approvals in regulated environments. Most DeployOpen engagements are fixed-scope, with scope, deliverables and timelines agreed in writing before work starts. Ask for a timeline tied to named milestones, and ask which external dependencies, such as partner onboarding for sync agreements or access approvals, could move the dates.
What does the client's team need to provide during implementation?
Expect to supply access and decisions that only your organization can give. That usually includes hosting accounts and network paths, a named owner for each intelligence source, analysts who can define use cases and the queries or artifacts they need, an identity administrator for SSO setup, and security reviewers who approve sharing and retention settings. For MISP, someone must decide which distribution levels and sharing groups apply. For Yeti, DFIR staff must confirm which artifact definitions and rules matter to their casework. Ask the quote for a responsibility matrix listing what DeployOpen does, what your team does, and what each side must hand over and when.
Can a small team run MISP or Yeti without outside help?
A small team can run either platform, but only if it has the skills to operate the stack. MISP needs Linux administration, web server and database operations, backup and restore practice, and a process for upgrades and feed management. Yeti is built in Python with FastAPI and ArangoDB, so the team also needs to operate that database and the application services. Confirm the current installation and upgrade documentation for the release you plan to run. If staff time is limited, consider a retainer for upgrades, support and testing, which DeployOpen offers as an ongoing option alongside its fixed-scope implementation work.
Can a SOC use MISP without sharing indicators externally?
Yes. MISP's sharing features are optional, and an instance can serve as an internal repository for correlation and export. Distribution levels and sharing groups control who can see each event, and synchronization with other instances is a configuration choice. Your SOC can use the REST API to export STIX 1 and 2, CSV, and Suricata, Snort and Zeek rules for internal detection content. Before go-live, confirm the sync and distribution settings in a test environment, check that no feeds or exports leave your network without approval, and document the configuration so auditors and reviewers can verify it.
Does Yeti replace a threat intelligence platform?
It depends on what you need the platform to do. Yeti is a forensics intelligence platform for DFIR teams. It stores threat intelligence alongside DFIQ objects, forensic artifact definitions, Sigma and YARA rules and reusable queries, and it integrates with Timesketch and MITRE ATT&CK. That fits investigation-driven work well. If your main need is a STIX-based knowledge base with many connectors, enterprise governance features and broad sharing, evaluate those requirements directly against both platforms and the other tools in this comparison. Test Yeti with your own intelligence sources and casework before deciding it covers the role.
How do I confirm license obligations for MISP or Yeti?
MISP is licensed under AGPL-3.0, according to its LICENSE file. Yeti is licensed under Apache-2.0. The AGPL includes obligations around source availability for modified versions that users interact with over a network, and Apache-2.0 requires that license and notices travel with the software. Check every custom module, plugin, script and integration you add, because each may carry its own terms. Ask your legal or compliance team to review the position in writing. Ask DeployOpen to include a license inventory of the components it installs in the written scope.
How DeployOpen helps teams choose, implement or migrate
DeployOpen plans, implements, customizes, integrates, hardens, documents and supports self-hosted open-source platforms inside the client's own infrastructure, so the choice between MISP and Yeti is made against your sharing model, data handling and team workflow. Engagements start with a written scope that fixes deliverables and timelines before any work begins.
How we scope
- Map whether your team shares indicators with partners or mainly consumes intelligence during investigations
- Record the sharing communities, distribution levels and sharing groups your MISP design must support
- Define which forensic artifacts, Sigma or YARA rules and Timesketch links Yeti would need to hold
- Agree the scope, deliverables and timelines in writing before implementation starts
How we build
- Deploy the chosen platform inside your cloud account, data center or air-gapped network
- Configure synchronization or local storage, taxonomies, galaxies and the connectors your feeds require
- Test ingestion, correlation and export paths such as STIX, CSV or detection rule formats
- Harden access controls and identity integration to match your existing directory and policy
How we hand over
- Document the architecture, data model decisions, sharing rules and operational runbooks
- Provide evidence of configuration and controls that your internal assessors or external auditors can review
- Train analysts and administrators on daily use, queries and maintenance tasks
- Confirm with your team which upgrade and backup responsibilities stay in-house after handover
How we support
- Offer ongoing support, upgrades and continuous testing as a retainer after handover
- Plan version upgrades against the current release notes for the platform you run
- Re-test sharing and export paths when feeds, partners or connectors change
- Ask your quote to separate one-time implementation work from recurring support scope
