Best Kafka management tools for defence and national security organisations

Tools compared

Rank	Tool	Total (out of 110)	Out of the data path	Runs air-gapped	Production access on request	Audit trail per person	Directory and Kafka sign-in	Many teams, shared clusters	Cost a year (modelled)
1	Kpow	99	One container, state in your Kafka, not a proxy	Documented to run fully offline, no licence server	Time-boxed temporary policies via API, staged approvals	Every action with the IdP user, data queries included	SAML, OIDC, LDAP; Kerberos, SCRAM or mTLS to brokers	Tenant per team, Allow, Deny or Stage	$20,880
2	Kafbat UI	72	One stateless container	GitHub release check on by default, can be switched off	Per-resource RBAC, no approvals	Optional, reads at level ALL, no view	OAuth2, OIDC, LDAP; no SAML	Roles per resource, no tenant view	$11,520
3	AKHQ	64	One stateless container	Self-hosted, no air-gapped guidance found	Regex groups, UI-only if JWT secret unset	Opt-in, no reads, no view	LDAP, OIDC; no SAML	Regex groups, no tenant view	$16,320
4	Lenses	59	HQ on PostgreSQL, agent and database per cluster	Self-hosted, no air-gapped guidance found	Strict global masking, no approvals	In-product audit log from Team tier	SSO incl. Entra ID and Okta	Group roles, no scoped view	$2,880 plus quoted licence
5	Confluent Control Center	51	Dedicated host, broker reporter JAR	Air-gapped Confluent Platform install documented	Confluent RBAC, no DENY, no approvals	Broker principal, not always the person	OIDC on self-managed	Admin access only, per TD	$2,880 plus quoted subscription
6	Conduktor	69	Console on PostgreSQL; Gateway proxy in the data path	Air-gapped Console install documented	Per-viewer masking, cross-team access requests	70+ event types with user, in the UI	LDAP, OIDC	User and group grants; Virtual Clusters need Gateway	$122,880; $212,880 with Gateway Core and Protect

No tool meets every column, and defence platform teams commonly pair a management tool for people with broker ACLs or an authorizer for services. “No air-gapped guidance found” means none was found in the vendor’s website, repository or documentation on 2 October 2026, not that the tool cannot run without a network connection.

The tools, ranked for defence and national security

What defence and national security organisations need from a Kafka management tool

This page ranks tools against what defence forces, national security and intelligence agencies, and the contractors that build and run systems for them need from Kafka tooling. Factor House names no defence or national security organisation as a Kpow customer, so the ranking rests on the sector’s published requirements and on documented product behaviour, and it carries no customer evidence from this sector. Civilian departments, state IT providers and public-sector contractors are covered in best Kafka management tools for government agencies, which names the public-sector organisations that run Kpow. Industrial sites with a segregated operational network are covered in best Kafka management tools for energy and utility companies and best Kafka management tools for manufacturers, and the regulated-bank version of the same access questions in best Kafka management tools for banks.

Kafka in this sector runs where networks are closed or intermittent. Kai Waehner’s post on Apache Kafka for national security and defence describes a demonstration shown at the Association of the United States Army’s 2021 meeting in which each soldier carries a single-broker Kafka deployment, curated data is replicated to a command post running a mission-critical cluster whenever connectivity allows, and command posts replicate on to a remote military data centre, with the same components at every tier. The same post notes that disconnected and air-gapped environments are supported. A management tool for that topology has three properties to show. It has to run with no route to the internet, it has to sit outside the path that sensor and logistics events take between producers and consumers, and it has to keep each team, and each administrator, to what its role entitles it to see.

For contractors in the defence industrial base, the requirements are written down. Wikipedia’s account of the Cybersecurity Maturity Model Certification describes CMMC as the US Department of Defense programme that verifies whether contractors’ systems that process, store or transmit sensitive data meet its information security requirements, with Level 2 built on the 110 security requirements of NIST SP 800-171 for protecting Controlled Unclassified Information. Several of those requirements land directly on a Kafka management tool, and they are quoted below from Revision 2, the revision CMMC’s domains map to. National defence and security agencies are assessed against their own national frameworks, such as the Australian Signals Directorate’s Information Security Manual, so the NIST text is used here as a published, detailed statement of what such frameworks ask, not as the rule every reader is held to.

Each of the six criteria this page scores comes from those needs, and for each one a published source says something specific that general lists of Kafka tools leave out.

Out of the data path. In a fully air-gapped environment, as Kai Waehner’s post on zero trust and air-gapped environments puts it, the goal is one-way communication with no technical ability to send data from the outside in, and the unidirectional gateways that enforce it are used, among other things, to carry scheduled application and operating system updates into the network. Every software update for a closed enclave therefore crosses by a controlled route, so the number of artefacts a tool brings with it is a recurring cost as well as a one-off review. Kpow is one image or JAR that keeps its state in topics on the cluster it manages. Lenses brings an HQ, an agent per cluster and a database for each. Conduktor’s own air-gapped instructions mirror the Console chart and two images, with PostgreSQL provided inside the network, and its data-level controls add Gateway, a proxy that sits in front of every producer and consumer it protects. Revision 2 of NIST SP 800-171 states the principle behind preferring the smaller footprint in requirement 3.4.6: “Employ the principle of least functionality by configuring organizational systems to provide only essential capabilities.” A component on the mission data path also carries the mission’s availability. Conduktor accepts that for what Gateway buys, encryption and masking enforced for applications as well as people, and Kpow does not attempt to protect data for applications, so the trade runs in both directions. Staying out of the data path is not unique to Kpow either, since Kafbat UI and AKHQ score the same 9.

Runs air-gapped. Whether a tool can run with no network route out is decided by its outbound calls, and those are rarely in the feature list. Licence servers, update checks and product analytics are the usual three. Kpow is documented to run fully offline, working the same way inside an air-gapped network as anywhere else, and needs no licence server. Its user interface does record product analytics through Google Analytics by default, which its data collection reference describes along with the opt-out, ALLOW_UI_ANALYTICS set to false, available on an Enterprise licence and not on Community or trial licences. In a closed network those calls have nowhere to go, but on a network that is connected and monitored they are traffic to explain, so the setting belongs in the first install. Kafbat UI’s configuration reference lists a check for the latest release through the GitHub API that is on by default, and Confluent’s Telemetry Reporter sends nothing to Confluent Cloud once confluent.telemetry.enabled is set to false. Kpow’s optional AI features follow the same rule: its AI model integration can point at an Ollama server inside the network, and its documentation advises local models for sensitive data, so the feature does not require a hosted provider. Each product is also patched by carrying a new image in, and Factor House’s security and CVE reference says the most recent release of each product is scanned daily against the National Vulnerability Database and a dependency report is published for every release, which gives the security team a report to check the image against before it crosses.

Production access on request. Requirement 3.1.5 of NIST SP 800-171 asks for “the principle of least privilege, including for specific security functions and privileged accounts”, and requirement 3.1.7 asks organisations to “prevent non-privileged users from executing privileged functions and capture the execution of such functions in audit logs.” On Kafka, resetting a consumer group’s offsets, deleting a topic or changing a broker setting are privileged functions in that sense, and reading a topic that carries mission data is a privilege of its own. Kafka cannot express a grant that ends, because a Kafka ACL allows or denies an operation for a principal on a resource and carries no end time, so an engineer who needs to look at one topic during an incident either gets a standing permission or gets nothing, unless the management tool can grant it for the incident and take it away. A tool that can also hold a privileged change until a second person approves it records both the request and the decision in the same log that 3.1.7 asks for.

Audit trail per person. Requirement 3.3.2 asks organisations to “ensure that the actions of individual system users can be uniquely traced to those users, so they can be held accountable for their actions.” When people work through a shared tool, the broker sees only the tool’s service account, so the broker’s own authorizer log can show that the tool read a topic and cannot show which person asked. The tool’s own log is the only place the attribution can come from, and in this sector the event that matters most is often a read, because the question after a leak is who looked at what. Requirements 3.3.8 and 3.3.9 add that audit information is protected from unauthorized access, modification and deletion and that management of audit logging is limited to a subset of privileged users. Where a tool writes its trail to a Kafka topic, as Kpow does, that means the ACLs on the audit topic, and the RBAC policies that decide who can see it in the tool, are part of the control, and a copy sent by webhook to the organisation’s SIEM puts the record where the people who are audited cannot reach it.

Directory and Kafka sign-in. Requirement 3.9.2 asks organisations to “ensure that organizational systems containing CUI are protected during and after personnel actions such as terminations and transfers”, and in this sector a transfer, a change of posting or a lapsed clearance is a personnel action as much as a departure. A tool that reads its roles from directory groups loses a person’s access when the directory does. A tool with local accounts has to be found and updated by hand, on every closed network where it runs. The tool’s own configuration is the other half, because it holds the credential for every cluster it manages. Requirement 3.5.10 asks organisations to “store and transmit only cryptographically-protected passwords”, and Kpow can encrypt configuration values in place with Shroud, an open-source library whose documentation says plainly that encrypted configuration is not a replacement for a secret manager and may help in environments with limited secret management options, which describes many closed networks.

Many teams, shared clusters. Need to know does not stop at the people who use a cluster. The administrator who runs it is not entitled by that role to read every topic on it, and requirement 3.1.4 of NIST SP 800-171 asks organisations to “separate the duties of individuals to reduce the risk of malevolent activity without collusion.” In Kpow’s role-based access control, every action that no policy allows is implicitly denied and a Deny takes precedence over any Allow, so inspecting a topic is a grant of its own that an administrator role does not carry unless a policy gives it, and tenants scope each team to the topics, consumer groups and connectors it owns. That lets one cluster serve several programmes while each team sees only its own work, which is the reason to share a cluster in a closed network, where every additional cluster is another set of machines to accredit and carry updates to.

What defence and national security organisations use Kafka for

No defence or national security organisation has published an account of running Kpow, so this section has no customer cards. It lists what has been said in public about Kafka in the sector, which is the evidence the rubric on this page is built from. None of the organisations below is presented as a Factor House customer.

Situational awareness at the edge. In the demonstration described in Kai Waehner’s national security and defence post, sensor data is processed on the soldier’s own single-broker deployment with Kafka Streams or ksqlDB, and command posts correlate data from soldiers, vehicles and weather sources in real time. For a management tool, that topology means a cluster at every command post, often out of contact, so each site needs an instance it can run locally.

Cybersecurity operations. Waehner’s series on Kafka for cybersecurity covers situational awareness, threat intelligence, forensics, air-gapped and zero trust environments, and SIEM and SOAR modernisation, and the air-gapped instalment describes Kafka beside unidirectional gateways that replicate data out of a protected network with no path back in. Security event pipelines are among the busiest Kafka workloads, which is one more reason a tool that inspects them should not sit in their path.

Contractor systems that hold Controlled Unclassified Information. Contractors that run Kafka inside systems that process or store CUI bring those systems, and the tools their engineers use on them, under the NIST SP 800-171 requirements described above, which is why the criteria on this page are written in its terms.

How defence and national security organisations run their Kafka with Kpow

The workflows below are how a defence or national security platform team would put Kpow to work in a closed network. Each one is built from documented Kpow features; none is taken from a defence organisation’s own account.

Bring it into the enclave as one artefact. Kpow runs as one Docker container or Java JAR, or on Kubernetes with the Helm charts, so a release crosses into the network as a single image or file, checked first against the dependency report that Factor House publishes for every release after a daily scan against the National Vulnerability Database. It needs no external database, because snapshots, metrics and the audit log are held in topics on the organisation’s own clusters, and it connects to the brokers with the same cluster security settings as any other client. Set ALLOW_UI_ANALYTICS to false in the first configuration, and leave the AI features unset or point them at an Ollama server inside the network.

Run an instance per site. One instance manages up to 12 clusters across self-managed Apache Kafka, Confluent Platform, Confluent Cloud and Amazon MSK, and its documentation asks for it to run close to the clusters it manages. A command post or a regional data centre with its own clusters therefore runs its own instance, which keeps working while the site is out of contact because everything it needs is on the local cluster.

Sign people in through the directory. People sign in with LDAP against Active Directory or another directory inside the network, or with SAML or OpenID Connect through an identity provider that runs there, and their directory groups map to roles, so a transfer or a lapsed clearance removes Kafka access when it removes the group membership. Brokers that authenticate clients with Kerberos are reached with SASL GSSAPI, Kpow’s default SASL mechanism.

Grant topic access by need to know. RBAC sets Allow, Deny or Stage per action and resource, with Deny winning where policies overlap and everything else implicitly denied. A tenant for each programme or team scopes what its people see on a shared cluster.

Grant production access for one task. An engineer who needs to read a production topic raises a request in the organisation’s service management tool. Once it is approved, that system calls the Kpow API to create a temporary policy that grants inspect access on the named topic for a fixed time. The policy expires on its own, is capped at seven days by default, and is recorded in the audit log. Because Kpow runs inside the network, the service management tool reaches it there and nothing is exposed outside.

Hold privileged changes for a second person. With staged mutations, a role can be set to Stage on actions such as resetting a consumer group’s offsets or deleting a topic, so the request waits in Kpow until an administrator approves or denies it, and the request, the decision and the outcome land in the audit log.

Mask the fields that do not need to be seen. Data policies redact fields in Data Inspect and ksqlDB results on the server, in keys, values and headers, so an engineer diagnosing a fault sees the structure of each message without the sensitive values in it. Masking is a display control and changes nothing on the brokers.

Keep the record of who did what. The audit log records each action, data inspect queries included, with the user from the directory and the policy that allowed it. Kpow shows the last seven days in the product and writes the record to the __oprtr_audit_log topic on the organisation’s own cluster, where Kpow’s topics default to one week of retention, so for the long record webhooks send mutations, data inspect queries or both to the organisation’s SIEM inside the network, or the topic’s retention is raised.

Watch lag and cluster health without touching the brokers. Kpow publishes consumer group offsets and lag, with broker, topic and connector metrics, on Prometheus endpoints for the monitoring that already runs inside the network, so the owning team sees a consumer falling behind before the people relying on its output do.

Keep broker ACLs for services. Kpow governs people working through Kpow, not services connecting to brokers, so broker ACLs or an authorizer remain the control for mission applications. ACLs decide what a client principal can do at the broker, RBAC in the tool decides what a person can do through it, and tenants decide what that person sees.

To see these screens before carrying anything into a closed network, the live Kpow demo needs no signup and shows data inspect, consumer groups, topic management and the audit log topic on two MSK clusters. A reader can check the rubric against the product there by working through what a platform engineer does during an incident and then opening the __oprtr_audit_log topic on MSK Secondary to see what the audit trail records. The demo has no SSO and no data policies configured, so sign-in and masking are the two things to test on the organisation’s own network. To run the workflows against the organisation’s own clusters, install Kpow from its container image or JAR; tenants, RBAC, temporary policies, staged mutations, data policies and the audit log are Kpow Enterprise features, and Community Edition is free for 3 clusters and 10 users.

Kpow live demo

Open Kpow the way a defence platform team would

The live Kpow demo needs no signup. Browse clusters, consumer groups and topic data, then read the audit trail on the __oprtr_audit_log topic of the MSK Secondary cluster before deciding what to carry into a closed network.

For platform teams running Kafka for defence forces, national security agencies and defence contractors.

Try the Kpow demo→

FAQ

What is the best Kafka management tool for a defence or national security organisation?

On this page’s rubric, Kpow: it runs as one container inside a closed network with no external database, no licence server and nothing in the data path, grants time-boxed production access through its API, holds privileged changes for approval, records every action and data query with the person from the organisation’s directory, and scopes each team to its own topics on shared clusters. Kafbat UI is the strongest free option, but it has no expiring access grants and no view of its audit trail. For a small team that only needs to browse and manage topics, Kpow Community Edition is free for 3 clusters and 10 users, without the governance features scored here, and without the option to switch off product analytics.

Can Kpow run in an air-gapped network?

Yes. Kpow runs fully offline with no data leaving the environment, and works the same way in an air-gapped network as anywhere else, with no licence server to reach. It installs from a container image or JAR, keeps its state in topics on the organisation’s own cluster and needs no external database. Two things in it can make outbound calls on a connected network: the user interface’s product analytics, which ALLOW_UI_ANALYTICS set to false switches off on an Enterprise licence, and the optional AI features, which can be pointed at an Ollama server inside the network or left unset.

Does a Kafka management tool fall under CMMC?

If it runs on a contractor system that processes, stores or transmits Controlled Unclassified Information, it is part of that system, and CMMC Level 2 assesses the system against the requirements of NIST SP 800-171. For a Kafka tool the requirements that bite are least privilege (3.1.5), privileged functions captured in audit logs (3.1.7), actions traceable to individual users (3.3.2), protection of audit information (3.3.8) and protection during personnel actions (3.9.2). No tool is CMMC certified on its own, because CMMC certifies the contractor’s system and not the products in it.

Is there a free Kafka management tool for a closed network?

Kafbat UI and AKHQ are free under Apache 2.0 and run as one container inside a closed network; Kafbat UI’s GitHub release check has to be switched off with GITHUB_RELEASE_INFO_ENABLED set to false. Neither offers an expiring access grant or a view of its audit trail. Kpow Community Edition is free for 3 clusters and 10 users, but it does not include RBAC, masking, single sign-on or the audit log, which are Kpow Enterprise features, and its product analytics cannot be switched off.

Does a Kafka management tool need to be a proxy to govern access?

No. Governing what people can see and do in a tool, with RBAC, masking in inspection and an audit log, works from a tool that connects as an ordinary Kafka client. A proxy is only needed to enforce policy on application traffic, and it puts a component on the mission data path, which in a closed network is one more thing to size, carry in, accredit and keep running.

Can one Kpow instance manage clusters at several sites?

Up to 12 clusters per instance, and its documentation asks for it to run close to the clusters it manages and does not officially support multi-region installations. An organisation with clusters at several sites, or at command posts that are often out of contact, runs an instance at each site, and each one keeps its state and audit record on its own local cluster.

How these tools were scored

Six criteria, each taken from what defence and national security platform teams need when they bring a Kafka tool into a closed or classified network, score every option from 0 to 10. They are listed here in order of weight; the weights add up to 11, so the total is out of 110.

1. Out of the data path. A management tool that runs in the organisation’s own environment, connects as an ordinary Kafka client and keeps no data outside the organisation’s clusters adds nothing between mission applications and the brokers. Scored lower: tools that need an external database, and tools whose controls work only when application traffic passes through a vendor’s proxy. A self-hosted container with no external database and no proxy scores 9, a tool with a database of its own 6, one with several databases or a component on the brokers 4, and one that needs both a database and a proxy for its controls 3; 10 is kept for an option with nothing to deploy at all. This criterion is scored the same way on every Factor House page that uses it, and only its weight changes with the reader.

2. Runs air-gapped. Can the tool be installed and run in a network with no route to the internet? A tool whose vendor documents air-gapped or fully offline operation scores 9, and a self-hosted tool scores 6 where no air-gapped guidance was found or where an outbound call is on by default and has to be switched off; 10 is kept for a tool with no outbound call of any kind, on by default or not. A score of 6 means what was found in the vendor’s website, repository or documentation on 2 October 2026, not that the tool fails without a network, and the scale scores what the vendor documents, so Kpow’s browser analytics, Kafbat UI’s release check and Confluent’s Telemetry Reporter are all described on the cards. This criterion is new on this page.

3. Production access on request. Can an engineer be given read access to a production topic for a task, approved and time-boxed, without a standing grant? Can privileged changes such as offset resets be held for a second person’s approval? And is sensitive data masked for the people who do get in? The wider set of controls over deletes and offset resets is compared in best tools to control destructive Kafka operations.

4. Audit trail per person. When people work through a shared tool, the broker only sees the tool’s service account, so only the tool’s own log can name the person. The log has to include data reads as well as changes and be readable without building a consumer first. Best tools for Kafka audit logging compares the layers in detail.

5. Directory and Kafka sign-in. People should sign in through the organisation’s directory, whether that is LDAP directly or SAML and OIDC through an identity provider inside the network, with directory groups mapped to roles. On the cluster side the tool has to connect the way the organisation’s clusters already authenticate clients, whether that is SASL, Kerberos or mutual TLS. Best tools for Kafka SSO integration covers the protocol detail.

6. Many teams, shared clusters. Programmes and teams on a handful of clusters need each team scoped to its own topics, consumer groups and connectors, so the platform team can onboard a team with a policy and not a cluster, and nobody sees another team’s topics by default. This criterion uses the same scores as the banking page; best tools for Kafka role-based access control (RBAC) compares the permission models in more detail.

The cost figures model an organisation running 4 clusters (development, test, pre-production and production) for 100 engineers at $120 an engineer-hour, and each card prints its own assumptions. The general listicle view, without the defence weighting, is in best Kafka management tools for 2026.

F1 What a defence or national security organisation runs into, and what the Kafka tool has to do about it

What happens in defence and national security What the Kafka tool has to do

No route out Clusters sit in an enclave with no internet connection, and anything entering it crosses by a controlled transfer Install from one image or JAR, run with no vendor service, licence server or database outside the enclave

Mission data path Sensor, logistics and intelligence events move between producers and consumers that cannot wait on an extra component Connect beside the brokers as an ordinary Kafka client, with nothing between applications and brokers

Need to know An administrator cleared to run a cluster is not automatically entitled to read every topic on it Deny by default, grant reading a topic as its own permission, and scope each team to the topics it owns

Privileged changes Offset resets, topic deletions and configuration changes are privileged functions that a second person should see Hold the change for approval, grant elevated access for a fixed time, and log the request and the outcome

Who read what Security staff need to know which person looked at which topic, not which service account did Sign each person in through the directory and record every action and data query under their own name

Leavers and transfers People change posting, lose a clearance or leave, and their access has to end with the directory change Read roles from directory groups so that removing a person from a group removes their Kafka access

Every option is scored from 0 to 10 on each criterion, from the evidence and sources this page cites, and the reason for each score is on its card. The criteria are weighted: Out of the data path counts three times, Runs air-gapped counts twice, Production access on request counts twice, Audit trail per person counts twice, Directory and Kafka sign-in counts once and Many teams, shared clusters counts once, for a total out of 110. Out of the data path counts three times because a defence or national security organisation has to account for every component between its mission applications and its brokers, and for every store that holds a copy of what passes through them. Running air-gapped, production access on request and the per-person audit trail count twice, because a closed network decides whether a tool can be installed at all, and the two questions a security team asks next are who could read or change production data and who actually did. Directory sign-in and need-to-know scoping on shared clusters count once. This page is published by Factor House, which makes Kpow. Every option is scored on the same rubric and the same sources: Kpow's per-criterion scores are set the same way as every other option's and are not adjusted, and the weights apply to every option alike. Kpow ranks first on its total of 99 out of 110. The other options follow by total. Conduktor is listed last whatever its total; on its total of 69 it would place third.

Related reading

• Kafka: the complete guide
• Best Kafka management tools for government agencies
• Best Kafka management tools for energy and utility companies
• Best Kafka management tools for manufacturers
• Best Kafka management tools for banks
• Best tools for Kafka audit logging
• Best tools for Kafka role-based access control (RBAC)