When MISP or Yeti is the right choice for your team
Choose MISP when your main job is sharing indicators with partners, sector peers and trusted communities. MISP is an open source platform for collecting, storing, distributing and sharing cyber security indicators, and its synchronization, distribution levels and sharing groups are built for exchanging data between organizations. Choose Yeti when your analysts need to keep forensic artifacts, Sigma and YARA rules and DFIQ objects next to threat intelligence, because Yeti is aimed at DFIR and threat intelligence analysts rather than community sharing. Both are licensed under open source terms, MISP under AGPL-3.0 and Yeti under Apache-2.0, and neither requires a paid edition for core use according to the supplied licensing facts.
The decision turns on three questions. First, who must receive your data: if partners or a trusted community need to pull and push events, MISP's sharing model is the central requirement. Second, how your analysts work: if they bulk search observables, pivot from a threat to its TTPs and artifacts, or add Timesketch and MITRE ATT&CK context to investigations, Yeti's workflow fits better. Third, who runs the platform. MISP's recommended path is Ubuntu 24.04 with the project's installer, with Docker, Ansible and other options listed, while Yeti is built on Python, FastAPI and ArangoDB. Confirm which database and hosting skills your operations team already has before you commit.
Many teams will find that sharing and forensic work need both, so ask whether one platform can cover the other role or whether you will run two systems with a defined data flow. Check the current release notes before you test, since MISP 2.5 is the recommended line for new deployments and Yeti releases move quickly. Ask your DeployOpen implementation scope to state which data sets move in each direction and who owns that flow, because that decision drives most of the later effort.
Which platform fits which scenario
This table maps common team scenarios to the platform that fits better and the condition that decides it. Read each row against your own sharing obligations and DFIR workflow, since a team with both needs may end up running both.
| Scenario | Better fit | Deciding condition |
|---|---|---|
| Sharing indicators with sector peers or trusted communities | MISP | MISP synchronizes events between instances and uses distribution levels and sharing groups down to individual attributes. Choose it when the sharing rules must be enforced by the platform itself. |
| DFIR casework with forensic artifact libraries | Yeti | Yeti stores forensic artifact definitions, DFIQ objects and reusable queries next to threat intelligence. Choose it when analysts work from artifacts and TTPs rather than exchanging events. |
| Sigma and YARA rules kept with intelligence | Yeti | Yeti stores Sigma and YARA rules alongside observables and threats. Confirm the rule formats and import paths your analysts need before committing. |
| Timesketch timeline and MITRE ATT&CK-linked investigation | Yeti | Yeti documents Timesketch and MITRE ATT&CK integration. Confirm the exact integration depth in your version against the Yeti website. |
| Exports to SIEM, firewall or sensor rule formats | MISP | MISP exports Suricata, Snort, Zeek and STIX 1 and 2 through its REST API. Yeti supports custom export formats, so confirm that your target format already has an export path. |
| Mixed team with both sharing and DFIR duties | Both, with a clear hub | Decide which system is the sharing hub and which holds analyst artifacts. Running both duplicates data, so define the synchronization direction before deployment. |
| Small DFIR team without a sharing obligation | Yeti | Yeti is aimed at DFIR and threat intelligence analysts rather than community sharing. Without a sharing requirement, MISP's sharing features add operating effort you may not use. |
How MISP and Yeti are built and what that means for operations
MISP and Yeti sit on very different stacks, and the stack decides who patches, backs up and upgrades each system. The cards below cover the components, the install paths and the data stores your operations team would own, so you can match them to the skills you already have.
MISP application stack
MISP is written in PHP on CakePHP, with MySQL or MariaDB as its main database and Redis as a supporting service. Your team patches the PHP runtime, the web server, the database and Redis, not just the MISP application. Check that your operating system and PHP packages match what the current 2.5 release expects before you schedule upgrades.
Install paths for MISP
MISP 2.5 is recommended on Ubuntu 24.04 with the project's installer. The project also lists Docker images, Ansible roles, Puppet and RPM packages. Pick the path your team already automates, because it defines how configuration drift, rollbacks and rebuilds are handled.
PostgreSQL support in MISP 2.5
MISP 2.5.47 introduced a new database migration system with PostgreSQL support. If your database standard is PostgreSQL, confirm with the MISP project which database backend you will run and how migrations are tested before you commit. Mixing database engines across environments adds a second set of backup and restore procedures.
Yeti application stack
Yeti is a Python application built on FastAPI, with ArangoDB as its data store. Your team runs a Python service and an ArangoDB cluster or instance, so the skills needed are Python dependency management and multi-model database administration. Confirm how ArangoDB is backed up and restored, since Yeti's observables, entities and rules all live in that store.
Backup scope on each side
A MISP backup covers the MySQL or MariaDB or PostgreSQL database, Redis state where it matters, and configuration and attachments on disk. Yeti backups center on ArangoDB and any custom analytics or export code. Write down the restore order for each system and test a full restore before relying on either.
Upgrade cadence and version pinning
MISP and Yeti both ship frequent releases, so upgrade effort recurs. Pin the versions you deploy, track the release notes for database migrations, and confirm whether plugins or custom modules you depend on need changes at each upgrade. Ask your implementation partner for a written upgrade and rollback plan as part of the scope.
How MISP events and Yeti observables store intelligence differently
MISP stores intelligence as events that other organizations can receive. An event is a container with attributes (single indicators such as an IP address, domain or file hash) and objects that group related attributes into a structure. Taxonomies and galaxies add shared tags and threat actor, malware and ATT&CK context, so that two organizations tagging the same activity describe it the same way. Every event and attribute carries a distribution level and, where needed, a sharing group, and those settings decide whether the record stays inside one instance, goes to a trusted community or syncs to partners. The MISP features page documents how these controls apply down to individual attributes. For a sharing team, the decision to make is the distribution setting at creation, because widening it later does not recall what has already been pushed to other instances.
Yeti stores intelligence around the analyst's investigation. Its core objects are observables, entities such as threat actors and campaigns, and indicators, and it also holds DFIQ objects, forensic artifact definitions, Sigma and YARA rules and reusable queries. The data model is built to answer questions such as what an observable is, where it appears and which artifacts or techniques a threat tends to leave behind. Yeti has no equivalent of MISP's per-attribute distribution model in the material supplied for this page, so a team that needs to control who sees a record should confirm the access and ACL options in the current release notes before relying on Yeti for shared data. Yeti 2.12.0 made ACL changes publish events, which is worth checking if your team uses them for access control.
The trade-off is sharing control against analyst depth. MISP gives you fine-grained, auditable distribution for records that leave your organization, but its event model is not designed to hold a forensic artifact library or a rule repository next to the intelligence. Yeti keeps the artifacts, rules and queries that DFIR work depends on, but it is not the tool to reach partners in a community. Teams that need both should map each data type to a home before ingesting anything, and confirm with the vendor how each platform exports to the other. The practical check is simple: if a record would be harmful to share, it belongs somewhere with enforced distribution controls, and if it is only useful to investigators, it belongs with the analysts.
Capability comparison: sharing, rules, exports and integrations
This table compares how MISP and Yeti handle sharing, correlation, exports, rule formats and integrations, using only the capabilities documented for each project. Read each row as a question of where the data needs to go: between organizations, into a SIEM or DFIR workflow, or into an analyst's own case work. Where a capability was not confirmed for this comparison, the cell names what to check with the vendor or in a test deployment.
| Capability | MISP (AGPL-3.0, 2.5.50) | Yeti (Apache-2.0, 2.12.0) |
|---|---|---|
| License and current release | AGPL-3.0; current release 2.5.50, with 2.4 end of life for new installs | Apache-2.0; current release 2.12.0, released October 2, 2026 |
| Synchronization between instances | Automatic sync of events and attributes between MISP instances and trusted communities, governed by distribution levels and sharing groups | Not documented as an inter-organization sharing mechanism; confirm with the Yeti project before planning multi-organization sync |
| Correlation | Exact matches plus advanced patterns including fuzzy hashes and CIDR overlaps, with granular controls | Bulk search of observables to judge the nature of a threat and locate it on a system; confirm correlation logic in your version |
| Export formats | MISP JSON, STIX 1 and 2, OpenIOC, CSV, text, Suricata, Snort, Zeek and RPZ | Custom export formats for third-party SIEM and DFIR tools, so analysts avoid hand-writing machine-readable exports |
| Sigma and YARA rules | Not a documented core object type in the supplied sources; confirm whether rules are stored or only referenced | Stores Sigma and YARA rules alongside threat intelligence as part of its forensic intelligence model |
| Timesketch and MITRE ATT&CK | MITRE ATT&CK covered through galaxies; a Timesketch integration was not documented in the supplied sources | Documented Timesketch and MITRE ATT&CK integration, used to move from a threat to its TTPs and artifacts |
| API and automation | OpenAPI-described REST API with restSearch and the bundled PyMISP library | Web API for automating queries and enrichment; confirm endpoint coverage and token model for your use case |
What the license and editions mean for each platform
MISP's software is licensed under AGPL-3.0, a copyleft license that applies to the code you run, and the project is associated with CIRCL, the Computer Incident Response Center Luxembourg. Its taxonomies and galaxy data are licensed separately under CC0 1.0 Universal or the 2-clause BSD license, so the content you import or publish is not governed by the software license alone. The project's repository notes that interlocked copyright among contributors prevents any single entity from changing the license model, which matters if your procurement team asks who could relicense the product later.
- Software license: AGPL-3.0 covers the MISP application itself.
- Content license: CC0 1.0 or 2-clause BSD covers taxonomies and galaxies, separate from the code.
- Relicensing: Interlocked copyright is documented as a barrier to any single entity changing the license model.
- Project association: CIRCL is the associated organization, which is a governance fact to record, not a support contract.
- Editions: The supplied facts describe the open source project only, so confirm any commercial support route with the project's support channels.
Before deployment, have legal counsel review how AGPL-3.0 applies to your internal modifications and any service you expose to outside parties, and confirm the license terms of any third-party feeds you enable.
AGPL-3.0 is a strong copyleft license. In broad terms, if you modify MISP and distribute the modified version to others, you must make the corresponding source available under the same license. The AGPL adds a network clause, so if you modify MISP and let users interact with it over a network, the source obligation can apply even without handing over copies. Running an unmodified MISP instance for your own staff creates few obligations, while a customized instance offered to partner organizations, or a fork shipped to customers, needs a deliberate review.
- Internal use, unmodified: Running MISP inside your organization without changes generally carries light obligations.
- Internal modification: Changing MISP for your own staff is usually lighter than distributing it, but the network clause can apply when outside users interact with it.
- Distribution: Shipping a modified MISP to other organizations, including partners or customers, triggers source availability duties.
- Integrations: Separate tools that talk to MISP through its API are a different question from modifying MISP itself, so document the boundary.
- Records: Keep a register of local changes and their deployment scope.
Ask your counsel to confirm the position for your specific deployment model, because this summary is a general orientation rather than legal advice.
Yeti is licensed under Apache-2.0, a permissive license that generally allows internal use, modification and redistribution with attribution and license notices retained. It is built in Python with FastAPI and ArangoDB, and it is a forensics intelligence platform aimed at DFIR and threat intelligence analysts. The supplied facts do not describe a paid Yeti edition, a commercial support tier or a hosted offering, so you should not assume any of those exist without confirmation.
- Software license: Apache-2.0 applies to the Yeti repository and its releases.
- Permissive terms: Apache-2.0 places fewer source-sharing duties on modified versions than AGPL-3.0.
- Paid editions: No paid edition is described in the supplied facts, so confirm whether one exists.
- Commercial support: Ask the vendor whether vendor-backed support, SLAs or indemnities are offered.
- Hosted options: Confirm whether any managed or hosted Yeti service exists before planning around one.
For a self-hosted deployment, the practical licensing question is the one your legal team will ask about your own modifications and any third-party plugins you add.
For Yeti, the license is only part of the picture. Apache-2.0 lets you run the platform without a license fee, but the cost of keeping it current, debugging it and extending it stays with your team or with an implementation partner you contract directly. Yeti 2.12.0 is the current release, released on October 2, 2026, and following releases in the 2.x line are the reference point for upgrade planning. Teams that want an external party to own upgrades and support should ask for that scope in writing.
- Upgrade cadence: Track releases such as 2.12.0 and plan maintenance windows for your own environment.
- Support model: Ask whether the maintainers offer paid support, and who answers security issues.
- Hosting: Confirm whether the vendor supports any hosted deployment, or whether you must host it yourself.
- Customization: Custom export formats and pluggable data sources are your responsibility to maintain after changes.
- Written scope: If you contract an implementation partner, record who owns upgrades, backups and security patching.
Before committing, put these support questions to the Yeti maintainers and to any partner you are considering.
How each platform handles login and access control
Identity integration differs in kind, not just in degree. MISP has a documented OpenID Connect sign-in path through its OidcAuth plugin, whose README is the starting point for any single sign-on design. Yeti 2.12.0 added a Google access token exchange endpoint, which trades OAuth access tokens for Yeti API tokens, and that endpoint is disabled by default. The practical difference is that MISP's login is a plugin you configure against your identity provider, while Yeti's documented option is an API token exchange that you switch on deliberately. Before choosing either, confirm which identity provider you need to federate with and whether the protocol each platform supports in your version matches it.
Role design is where most access mistakes happen, so test it in your environment. MISP controls sharing through distribution levels, sharing groups and user roles, which determine who sees which events and who can publish them. Yeti's access control lists are a separate model, and in 2.12.0 changes to ACLs publish events, which gives you an audit trail of permission changes to review. Map your analyst, reviewer and administrator roles onto each platform's own model rather than assuming they translate one to one. Build a test set of users, run a sample of events and objects through each role, and confirm what each account can read, edit and export.
Do not assume either identity setup works until you have tested it. Neither platform's sign-in configuration should be treated as finished because a plugin or endpoint exists. Confirm with the MISP project and with Yeti's documentation which versions support your required flows, then test session lifetime, token revocation, offboarding of a removed user and the behavior when the identity provider is unavailable. Your own security and identity teams should own the decision on single sign-on and role design, and a DeployOpen engagement would document the configuration and test results for that review.
What drives running cost for each platform
Neither MISP nor Yeti carries a license fee for the community code, so the running cost is mostly infrastructure, skills, upgrades and integration work. The cards below separate what is paid once from what recurs, and list what to request in a quote from DeployOpen or any other provider.
Database and cache infrastructure
MISP runs on PHP with CakePHP, MySQL or MariaDB and Redis, and sharing peers add sync traffic and storage over time. Yeti is built on FastAPI and ArangoDB, so the database engine is the main infrastructure dependency. Ask a provider to size the database, cache and backup footprint for your expected event and observable volume, and to state which parts are sized per instance and which per sync peer.
Skills needed to operate
Running MISP well means PHP application support, MySQL or MariaDB administration and Redis tuning, plus sync and sharing-group administration. Running Yeti means Python service operation and ArangoDB administration. Check whether your team already owns these skills, or whether the work will be contracted, because staff time is the largest recurring cost in most self-hosted deployments.
Upgrades and release cadence
MISP 2.4 is end of life with security fixes only, and the project advises against new 2.4 installs, so an existing 2.4 estate carries a migration cost that a new 2.5 deployment does not. Yeti publishes frequent minor releases, and each one needs testing against your custom exports and analytics. Ask for the upgrade method, test cycle and rollback plan that each quote includes.
Integration engineering
MISP cost often sits in sharing-group design, sync configuration with partners, and export feeds to firewalls, IDS and SIEM tools. Yeti cost often sits in custom export formats, pluggable data sources and Timesketch or MITRE ATT&CK links. Ask the provider to list each integration as a separate line item with its own acceptance test, so change requests are priced against a written scope.
Support options
Community support exists for both projects, and MISP publishes a support page for its community channels. Paid support, retainers and upgrade contracts are separate purchases from the software itself. Confirm what response commitments, if any, a quote includes, and whether they recur monthly or annually, since they are the clearest recurring line in a support budget.
Quote checklist
No prices are published here, and any figure must come from a written scope. Ask each provider to split the quote into one-time work (installation, hardening, integration, migration of existing data) and recurring work (upgrades, backups, support, testing). Request the assumptions for event volume, number of sync peers and analyst count, since those drive sizing more than the software does.
Moving intelligence from MISP to Yeti or the other way
This sequence moves indicators, context and detection content between MISP and Yeti without losing track of what was shared, with whom and under which distribution rules. Each step ends with a check so the team knows whether the move is complete before the old instance is retired.
Inventory events, attributes and sharing rules
The MISP administrator exports a list of events, their attributes, tags, galaxy clusters, distribution levels and sharing group memberships. The DFIR lead marks which events matter for case work and which exist only because a partner pushed them. The output is a dated inventory with a count of events per distribution level and per sync partner. It is done when every event has an owner and a decision: move, keep in MISP, or retire. Confirm the export format and retention policy with your own MISP administrator before starting.
Map MISP objects and galaxies to Yeti
The threat intelligence engineer maps each MISP attribute type to a Yeti observable type and each MISP object or galaxy cluster (threat actor, malware, tool, MITRE ATT&CK technique) to a Yeti entity or relationship. Gaps are written down rather than forced into a close match, for example MISP objects with no clear observable equivalent. The output is a reviewed mapping document signed off by the analysts who use both platforms. It is done when a sample of ten to twenty events maps without unresolved gaps. Verify Yeti's current observable and entity types in its documentation before finalizing the map.
Decide what stays shared with partners
Before anything is moved, the sharing owner decides which intelligence must remain in MISP because partners receive it through sync, sharing groups or communities. Yeti is not a community sharing platform, so moving an event there does not replicate its distribution rules. The output is a list of events that stay in MISP, a list that is copied to Yeti for internal use only, and any partner notice that is required. It is done when the sharing owner has approved both lists in writing. Keep MISP as the sharing hub until this decision is final.
Export through the REST API or PyMISP
The integration engineer pulls the approved events through the MISP REST API, either with restSearch or the bundled PyMISP library, and writes them to a staging store with the original event identifiers and timestamps kept as fields. Export format is chosen to preserve structure, such as MISP JSON, rather than flattening to CSV. The output is a staged dataset with a record count that matches the inventory for the approved set. It is done when the counts reconcile and a random sample matches the source event by event. Confirm the MISP version and API key scope in the target environment first.
Load into Yeti and rebuild detection content
The engineer loads the mapped observables and entities into Yeti through its web API, then the DFIR team recreates Sigma and YARA rules in Yeti, since these do not transfer automatically from MISP. Forensic artifact definitions and reusable queries are added the same way. Custom export formats for SIEM or DFIR platforms are configured and tested against the target tools. The output is a Yeti dataset with rule sets that have been reviewed by analysts. It is done when each rule has a test case or a documented reason it was not carried over.
Validate correlation and enrichment results
The analysts run a fixed set of known indicators and recent cases through both platforms and compare what each returns. MISP correlation results, such as shared attributes across events, are checked against the equivalent Yeti queries, and any difference is logged with its cause. The output is a validation record listing matching results, known differences and open issues. It is done when the team agrees that the differences are understood and accepted. Do not retire MISP while differences remain unexplained.
Run both platforms in parallel
During migration both systems stay live. Analysts use Yeti for case work while MISP continues to sync with partners, and new intelligence is entered in one place with a dated note in the other until cutover. The output is a short cutover log that records which platform is authoritative for each data category on each day. It is done when no category has two authoritative sources. Plan the parallel period with the sharing owner, since this is the period in which duplicates are most likely.
Retire the old instance
Once the validation record is accepted and the sharing owner confirms partners are served from the correct system, the MISP instance is set to read-only, a final backup is taken and stored under the retention policy, and sync connections are removed. The output is a signed retirement record with the backup location, the removed partner connections and the date of cutover. It is done when a restore test from the backup has been completed. Confirm your backup and retention obligations with the compliance owner before removing the instance.
What implementing each platform involves and where projects run long
Implementing MISP starts with a choice of installation method. The MISP project recommends MISP 2.5 on Ubuntu 24.04 with its provided installer, and also lists Docker images, Ansible roles, Puppet and RPM packages, so the team should settle the method before anyone touches a server. Sync configuration with partners follows, and it is where the real design work sits: each partner connection needs a deliberate distribution level, and sharing groups should be scoped to the individual attributes that a given partner is allowed to see. Taxonomy and feed setup comes next. Confirm which default feeds and galaxies you will enable, because they change what analysts see on day one. If you still run MISP 2.4, plan the upgrade now. The project states that 2.4 is end of life with security fixes only and strongly advises against new 2.4 instances, and it provides an upgrade script for Ubuntu. Check the migration notes in the 2.5 release history before you schedule the cutover, since 2.5.47 introduced a new database migration system with PostgreSQL support.
Implementing Yeti is less about sharing and more about building an analyst platform. The core dependency is ArangoDB, so the first decision is how that database will be deployed, backed up and monitored, because Yeti stores its observables, entities and indicators there. Next, decide which pluggable data sources and analytics your team needs, and which custom export formats your SIEM and DFIR tools will consume. Yeti's export support is meant to avoid hand-writing machine-readable exports, but you still need to test each format against the tool that will read it. The Timesketch integration and the MITRE ATT&CK mapping should be validated against a sample case before the platform goes live. Confirm these details with the Yeti maintainers or in the repository documentation, since configuration specifics are not covered here. Also review access control early. Yeti 2.12.0 added a Google access token exchange endpoint that is disabled by default, so enable it only after you have reviewed the identity design.
Projects with either platform usually run long in the same three places. The first is agreeing sharing rules. With MISP, every distribution level, sharing group and partner sync decision is a governance question, and legal, incident response and partner organizations often disagree about what can leave the building. Start that conversation before configuration, not during testing. The second is mapping legacy content. Teams moving from spreadsheets, older MISP 2.4 instances or internal IOC lists need to decide which attributes map cleanly, which need review and which should be retired, and this work scales with the volume of history you keep. The third is integrating with SIEM. Whether the source is MISP feeds or Yeti exports, the SIEM team will need field mappings, test data and a change process, and that effort is often underestimated. Ask any implementation partner to price these three workstreams separately in the written scope, and ask for a named owner on the sharing policy before work begins.
Questions buyers ask before choosing or hiring help
Can one platform cover both indicator sharing and DFIR work?
Not well on its own, and the two products were built for different jobs. MISP is designed to collect, store, distribute and share indicators between organizations, with distribution levels, sharing groups and synchronization between instances. Yeti is aimed at DFIR and threat intelligence analysts and stores DFIQ objects, forensic artifact definitions, Sigma and YARA rules and reusable queries alongside threat intelligence. If your team needs to exchange indicators with partners and also keep forensic artifacts and detection rules in one analyst workspace, many teams run both and decide which system is the sharing hub. Confirm with each vendor how their data models map to your existing exchange formats before you commit to a single platform.
What drives the cost of running MISP or Yeti?
Both platforms are open source under licenses that carry no license fee for the core software, so the costs are the people and infrastructure around them. Cost drivers include the hosting footprint, the time to install and maintain the platform, the integration work with your SIEM, EDR and sharing partners, and the ongoing upgrade cycle. For MISP, the project recommends MISP 2.5 on Ubuntu 24.04 with its installer and lists Docker images, Ansible roles, Puppet and RPM packages as options. For Yeti, the build uses Python with FastAPI and ArangoDB. In a quote, ask for each cost line separately: who installs, who integrates, who tests, who runs upgrades and who supports the platform after handover.
How long does implementation take for MISP or Yeti?
No researched source in this comparison gives a reliable implementation duration for either platform, so treat any number as something to confirm rather than a planning figure. Duration depends on the number of data sources, the sharing communities you join, the authentication model, the SIEM and ticketing integrations, and whether you run a single instance or a high availability setup. A fixed-scope engagement with written deliverables and timelines lets you compare proposals on the same basis. Ask each provider to break the timeline into install, integration, data import, testing and handover, and to name the dependencies that sit outside their control.
What does the client team need to provide for the work?
Both platforms need a named technical owner, a host or cloud environment that you control, and access to the identity system you plan to use. For MISP, the team also needs to decide sharing policy, distribution levels and which communities to synchronize with, which is a governance task as much as a technical one. For Yeti, the team needs analysts who can define forensic artifacts, Sigma and YARA rules and query workflows, and who can judge which observables belong in the store. Plan for time from your SOC, threat intelligence and legal or information sharing staff. Confirm the exact access, accounts and sign-offs in writing before the work starts.
Can our own team run MISP or Yeti without outside help?
A capable platform or security engineering team can run either platform, but the question is whether it has the capacity for the first install, the integrations and the upgrades. MISP has a long-standing community and training history from CIRCL, and the project publishes support channels on its support page. Yeti publishes releases on GitHub and documents its API for automating queries and enrichment. Ask yourself whether you have staff who can patch the platform on schedule, monitor the service and handle incidents in it. If the answer is not yet, a retainer for ongoing support, upgrades and testing is an option that DeployOpen offers alongside implementation.
What does AGPL-3.0 mean for internal use of MISP?
MISP is licensed under AGPL-3.0, which allows your organization to install, run and modify the software internally without paying a license fee. The obligations matter most when you modify the software and make it available to others, including users who interact with it over a network. Taxonomies and galaxy data carry different terms, as CC0 1.0 Universal or the 2-clause BSD license, separate from the AGPL software license. Yeti is licensed under Apache-2.0, which has different obligations. Have your legal or open-source compliance team review how your use, modifications and any hosted service for partners fit the license before you deploy.
Which platform should a DFIR team evaluate first?
Start with the workflow you need to support. If your daily work is building a case from forensic artifacts, testing Sigma and YARA rules against evidence and pivoting from a threat to its TTPs, Yeti is built for that analyst workflow. If your daily work is receiving, correlating and sharing indicators with other organizations, MISP fits that flow better. Run a short proof of concept on a representative data set from your own environment, check the export formats your SIEM and EDR consume, and confirm the integrations you need against the current release notes before deciding.
What should I ask a provider before hiring help?
Ask for a written scope that lists the platform version, the deployment target, each integration, the data import plan, the testing approach and the handover documents. Ask whether the work is fixed scope with agreed deliverables and timelines, and what happens if your requirements change. Ask who performs security testing of the deployed platform and how the evidence is documented. Ask for the process for upgrades after handover and whether ongoing support is a separate retainer. DeployOpen plans, implements, customizes, integrates, hardens, backs up, upgrades, documents and supports self-hosted open-source platforms inside your own infrastructure, and does not publish a price list, so the quote follows from the written scope.
How DeployOpen helps teams choose, implement or migrate
DeployOpen plans, implements, integrates and documents self-hosted open-source platforms inside the client's own infrastructure, so the MISP vs Yeti decision is tested against your environment before anything is built. Engagements are fixed-scope, with scope, deliverables and timelines agreed in writing before work starts.
How we scope
- Map which teams share indicators with outside organizations and which run DFIR investigations on their own data.
- Record the sharing communities, distribution rules and sync partners a MISP deployment would need to support.
- Confirm which Sigma, YARA, forensic artifact and Timesketch workflows Yeti would need to hold, in writing.
How we build
- Install and configure the chosen platform in your cloud accounts, data centers or air-gapped network.
- Connect feeds, exports and the SIEM or DFIR tools your analysts already use, with the integration tested end to end.
- Set up authentication, role and access controls, and confirm which identity features your chosen edition supports.
How we hand over
- Document architecture, data flows, sharing settings, upgrade steps and the operating runbook for your team.
- Walk analysts and administrators through daily tasks such as event publishing, rule management and API queries.
- Deliver the written configuration and test results so your own staff or auditors can review the setup.
How we support
- Offer ongoing support, upgrades and continuous testing as a retainer, sized to the written scope.
- Track upstream releases and plan upgrades for the platform version you run, with changes agreed before rollout.
- Confirm with your auditors which compliance evidence they need, since DeployOpen prepares evidence but does not issue certifications.

