AWS access

Zero trust access to your AWS resources

Octelium is a free and open source, self-hosted zero trust access platform. It reaches private VPC resources across accounts and regions, RDS databases, EKS clusters, S3 buckets and Lambda function URLs through one identity model, with the AWS credential held by the Cluster rather than distributed to people and jobs.

  • Free and open source
  • Designed for self-hosting
  • SigV4 signing at the proxy

Every request from a human, a browser, a CLI, a workload or an AI agent is authenticated against your identity providers, authorized per request at the application layer by the Octelium Service in front of the resource, exported to your SIEM and observability stack whether it is allowed or denied, and only then routed to the upstream HTTP API, database, SSH server, Kubernetes cluster, LLM or MCP server.

Signing in once, then reaching Services with and without a client

  • A browser opens grafana.acme.com and is redirected to the Cluster sign-in page at acme.com/login.
  • jane signs in with a passkey verified by a biometric on the device, and the browser returns to the Grafana dashboard at grafana.acme.com with no client installed.
  • In a terminal, octelium connect -d opens the browser at acme.com/callback/success/approval, where the same browser session approves the login with one click.
  • ~ ❯ octelium connect -d
  • Please authenticate yourself using Octelium web Portal
  • Waiting for you to approve the login in your browser. Press Ctrl-C to cancel.
  • You are now authenticated as jane
  • Octelium has started running in detached mode.
  • ~ ❯ curl -s my-api/v1/users/42 | jq
  • {
  • "id": 42,
  • "name": "Jane Doe",
  • "email": "jane@acme.com"
  • }
  • ~ ❯ psql -h pg-prod -d shop
  • psql (17.4)
  • Type "help" for help.
  • shop=> SELECT * FROM orders LIMIT 3;
  • id | status | total
  • -----+---------+--------
  • 981 | paid | 129.00
  • 982 | shipped | 48.50
  • 983 | paid | 310.25
  • (3 rows)
  • shop=> \q
  • ~ ❯ ssh bastion
  • Welcome to Ubuntu 24.04.1 LTS (GNU/Linux 6.8.0-1021-aws x86_64)

Requests authorized one by one against CEL rules in the HTTP, LLM and Kubernetes modes

  • HTTP: the HTTP Service billing is configured as follows.
  • kind: Service
  • metadata:
  • name: billing
  • spec:
  • mode: HTTP
  • config:
  • authorization:
  • inlinePolicies:
  • - spec:
  • rules:
  • - effect: ALLOW
  • condition:
  • all:
  • of:
  • - match: '"finance" in ctx.user.spec.groups'
  • - match: ctx.request.http.method == "GET"
  • - match: ctx.request.http.path.startsWith("/invoices")
  • jane, a member of the finance Group, runs curl -i billing/invoices/42 and gets HTTP/1.1 200 OK Content-Type: application/json {"id":42,"status":"paid","total":1290}. The access log records ALLOWED GET /invoices/42 with POLICY_MATCH.
  • jane, a member of the finance Group, runs curl -i -X DELETE billing/invoices/42 and gets HTTP/1.1 403 Forbidden X-Octelium-Unauthorized: true Content-Length: 0. The access log records DENIED DELETE /invoices/42 with NO_POLICY_MATCH.
  • LLM: the LLM Service openai is configured as follows.
  • kind: Service
  • metadata:
  • name: openai
  • spec:
  • mode: LLM
  • config:
  • authorization:
  • inlinePolicies:
  • - spec:
  • rules:
  • - effect: ALLOW
  • condition:
  • any:
  • of:
  • - match: '"ai-admins" in ctx.user.spec.groups'
  • - all:
  • of:
  • - match: '"ai-agents" in ctx.user.spec.groups'
  • - match: ctx.request.llm.operation == "GENERATE"
  • - match: ctx.request.llm.model == "gpt-5-mini"
  • support-bot, a member of the ai-agents Group, runs curl openai/v1/responses --json '{"model":"gpt-5-mini","input":"Hello"}' and gets { "id": "resp_68e8e1f0c4d0", "object": "response", "created_at": 1791628935, "status": "completed", "model": "gpt-5-mini-2025-08-07",. The access log records ALLOWED RESPONSES gpt-5-mini with POLICY_MATCH.
  • support-bot, a member of the ai-agents Group, runs curl openai/v1/responses --json '{"model":"gpt-5","input":"Hello"}' and gets {"error":{"message":"Octelium: unauthorized request","type":"permission_error","param":null,"code":"octelium_unauthorized"}}. The access log records DENIED RESPONSES gpt-5 with NO_POLICY_MATCH.
  • Kubernetes: the KUBERNETES Service k8s-prod is configured as follows.
  • kind: Service
  • metadata:
  • name: k8s-prod
  • spec:
  • mode: KUBERNETES
  • config:
  • authorization:
  • inlinePolicies:
  • - spec:
  • rules:
  • - effect: ALLOW
  • condition:
  • all:
  • of:
  • - match: '"sre-agents" in ctx.user.spec.groups'
  • - match: ctx.request.kubernetes.verb in ["get", "list"]
  • - match: ctx.request.kubernetes.namespace == "production"
  • - not: ctx.request.kubernetes.resource == "secrets"
  • ops-agent, a member of the sre-agents Group, runs kubectl get configmaps -n production and gets NAME DATA AGE app-config 4 12d feature-flags 2 3d kube-root-ca.crt 1 12d. The access log records ALLOWED list configmaps · production with POLICY_MATCH.
  • ops-agent, a member of the sre-agents Group, runs kubectl get secrets -n production and gets Error from server (Forbidden): Octelium: Unauthorized request. The access log records DENIED list secrets · production with NO_POLICY_MATCH.

Upstream credentials injected per request by identity in the HTTP, SSH and PostgreSQL modes

  • HTTP: the HTTP Service stripe proxies https://api.stripe.com and picks the upstream credential of every request with dynamic configuration rules.
  • elena, a member of the finance-eu Group, runs curl -s stripe/v1/account | jq '{id, country}' without holding any credential. The rule "finance-eu" in ctx.user.spec.groups selects the eu config, so Octelium injects the Secret stripe-eu and the upstream authenticates the request as acct_1Pq8EuGmbH2bXvK3. The terminal shows { "id": "acct_1Pq8EuGmbH2bXvK3", "country": "DE" }
  • pay-agent, a member of the finance-us Group, runs curl -s stripe/v1/account | jq '{id, country}' without holding any credential. The rule "finance-us" in ctx.user.spec.groups selects the us config, so Octelium injects the Secret stripe-us and the upstream authenticates the request as acct_1Nf2UsQ7cLm4RtW9. The terminal shows { "id": "acct_1Nf2UsQ7cLm4RtW9", "country": "US" }
  • SSH: the SSH Service web-01 proxies ssh://10.0.4.21 and picks the upstream credential of every request with dynamic configuration rules.
  • sam, a member of the sre Group, runs ssh web-01 without holding any credential. The rule "sre" in ctx.user.spec.groups selects the root config, so Octelium injects the Secret root-key and the upstream authenticates the request as root. The terminal shows Welcome to Ubuntu 24.04.3 LTS (GNU/Linux 6.14.0-1015-aws x86_64) root@web-01:~# id uid=0(root) gid=0(root) groups=0(root)
  • noah, a member of the developers Group, runs ssh web-01 without holding any credential. The rule "developers" in ctx.user.spec.groups selects the deploy config, so Octelium injects the Secret deploy-key and the upstream authenticates the request as deploy. The terminal shows Welcome to Ubuntu 24.04.3 LTS (GNU/Linux 6.14.0-1015-aws x86_64) deploy@web-01:~$ id uid=1001(deploy) gid=1001(deploy) groups=1001(deploy)
  • PostgreSQL: the POSTGRES Service orders-db proxies postgres://10.0.2.8:5432 and picks the upstream credential of every request with dynamic configuration rules.
  • priya, a member of the backend Group, runs psql -h orders-db orders without holding any credential. The rule "backend" in ctx.user.spec.groups selects the rw config, so Octelium injects the Secret pg-rw and the upstream authenticates the request as app_rw. The terminal shows psql (17.2) Type "help" for help. orders=> UPDATE orders SET status = 'shipped' WHERE id = 42; UPDATE 1
  • bi-agent, a member of the analytics Group, runs psql -h orders-db orders without holding any credential. The rule "analytics" in ctx.user.spec.groups selects the ro config, so Octelium injects the Secret pg-ro and the upstream authenticates the request as app_ro. The terminal shows psql (17.2) Type "help" for help. orders=> UPDATE orders SET status = 'shipped' WHERE id = 42; ERROR: permission denied for table orders

Signing in with a passkey and opening the Portal

  • The sign-in page of the Cluster at acme.com/login offers login with Okta, with GitHub, or with a passkey.
  • jane@acme.com chooses Login with a Passkey and verifies it with a biometric on the device through native WebAuthn.
  • The browser is redirected to the Portal at portal.acme.com/services, which lists the Services the User can access:
  • grafana.monitoring: Grafana dashboards, Web App, Namespace monitoring.
  • aws-postgres.production: Amazon RDS for PostgreSQL, PostgreSQL, Namespace production.
  • k8s-prod: Production EKS cluster, Kubernetes, Namespace default.
  • bastion.production: SSH bastion host, SSH, Namespace production.
  • github-mcp: GitHub MCP server, MCP, Namespace default.
  • openai: OpenAI API, AI / LLM, Namespace default.
Visibility and auditing

Identity-aware visibility at the application layer

Emit structured, application-layer access logs in real time and export them through OpenTelemetry OTLP to the observability, analytics and SIEM systems your organization already operates.

Read about visibility and auditing
AccessLogOTLP
ALLOWlinus@acme.compg-prod.dbPOSTGRESquery: select id, email from users limit 50
ALLOWci-runnerprod-k8sKUBERNETESverb=list resource=pods namespace=production
DENYagent-07tools-mcpMCPtools/call name=transfer policy=mcp-tools
ALLOWjane@acme.combastionSSHsession recorded, upstream user=deploy
ALLOWagent-07openaiLLMCHAT_COMPLETIONS model=gpt-5-mini tokens=1284
Deployment and scale

Self-hosted, Kubernetes-native and fully programmable

Run the Cluster on Kubernetes infrastructure you control, scale the data plane horizontally, manage resources declaratively, automate the platform through APIs and SDKs, and optionally deploy containerized Service upstreams with the Cluster itself.

Read the management guide

Cluster resources applied declaratively from YAML with octeliumctl and managed programmatically with the Go, TypeScript, Python and Rust SDKs

  • GitOps: cluster.yaml in the main branch of the ~/octelium repository describes the desired state of the Cluster. Its diff reads as follows, with + for added, ~ for changed and - for removed lines.
  • + kind: Group
  • + metadata:
  • + name: payments
  • + spec: {}
  • + ---
  • + kind: User
  • + metadata:
  • + name: alice
  • + spec:
  • + type: HUMAN
  • + email: alice@acme.com
  • + groups: ["payments"]
  • ---
  • kind: User
  • metadata:
  • name: bob
  • spec:
  • type: HUMAN
  • ~ groups: ["payments"]
  • ---
  • kind: Service
  • metadata:
  • name: billing
  • spec:
  • mode: HTTP
  • config:
  • upstream:
  • ~ url: http://10.0.3.24:8080
  • - ---
  • - kind: Service
  • - metadata:
  • - name: billing-legacy
  • - spec: ⋯
  • - ---
  • - kind: User
  • - metadata:
  • - name: john
  • - spec: ⋯
  • ~/octelium ❯ octeliumctl apply --prune .
  • Group: payments Created
  • User: alice Created
  • User: bob Updated
  • Service: billing.default Updated
  • Service: billing-legacy.default Deleted
  • User: john Deleted
  • Cluster Core resources successfully applied
  • 2 resources created
  • 2 resources updated
  • 2 resources deleted
  • Go: main.go uses the octelium-go SDK to list the Users of the Cluster and update the email and Policies of linus.
  • client, err := octelium.New(ctx)
  • if err != nil {⋯}
  • conn, err := client.Conn(ctx)
  • if err != nil {⋯}
  • api := corev1.NewMainServiceClient(conn)
  • users, err := api.ListUser(ctx, &corev1.ListUserOptions{})
  • if err != nil {⋯}
  • for _, u := range users.Items {
  • fmt.Println(u.Metadata.Name)
  • }
  • user, err := api.GetUser(ctx, &metav1.GetOptions{Name: "linus"})
  • if err != nil {⋯}
  • user.Spec.Email = "linus@acme.com"
  • user.Spec.Authorization = &corev1.User_Spec_Authorization{
  • Policies: []string{"db-readonly"},
  • }
  • if _, err := api.UpdateUser(ctx, user); err != nil {⋯}
  • fmt.Println("updated", user.Metadata.Name)
  • ~/app ❯ go run .
  • alice
  • bob
  • linus
  • updated linus
  • TypeScript: main.ts uses the @octelium/sdk SDK to list the Users of the Cluster and update the email and Policies of linus.
  • const client = await OcteliumClient.create({
  • domain: "acme.com",
  • auth: {⋯},
  • });
  • const users = await client.coreV1.listUser(ListUserOptions.create());
  • for (const u of users.response.items) {
  • console.log(u.metadata?.name);
  • }
  • const { response: user } = await client.coreV1.getUser(
  • GetOptions.create({ name: "linus" }),
  • );
  • user.spec!.email = "linus@acme.com";
  • user.spec!.authorization = User_Spec_Authorization.create({
  • policies: ["db-readonly"],
  • });
  • await client.coreV1.updateUser(user);
  • console.log("updated", user.metadata?.name);
  • await client.close();
  • ~/app ❯ npx tsx main.ts
  • alice
  • bob
  • linus
  • updated linus
  • Python: main.py uses the octelium-sdk SDK to list the Users of the Cluster and update the email and Policies of linus.
  • async with await OcteliumClient.create() as client:
  • users = await client.core_v1.list_user(ListUserOptions())
  • for u in users.items:
  • print(u.metadata.name)
  • user = await client.core_v1.get_user(GetOptions(name="linus"))
  • user.spec.email = "linus@acme.com"
  • user.spec.authorization.policies = ["db-readonly"]
  • await client.core_v1.update_user(user)
  • print("updated", user.metadata.name)
  • ~/app ❯ python main.py
  • alice
  • bob
  • linus
  • updated linus
  • Rust: main.rs uses the octelium SDK to list the Users of the Cluster and update the email and Policies of linus.
  • let client = Client::from_env().await?;
  • let mut api = client.core_v1();
  • let users = api.list_user(ListUserOptions::default()).await?;
  • for u in users.into_inner().items {
  • println!("{}", u.metadata.unwrap_or_default().name);
  • }
  • let options = GetOptions {
  • name: "linus".into(),
  • ..Default::default()
  • };
  • let mut user = api.get_user(options).await?.into_inner();
  • let spec = user.spec.get_or_insert_default();
  • spec.email = "linus@acme.com".into();
  • spec.authorization.get_or_insert_default().policies = vec!["db-readonly".into()];
  • let user = api.update_user(user).await?.into_inner();
  • println!("updated {}", user.metadata.unwrap_or_default().name);
  • ~/app ❯ cargo run -q
  • alice
  • bob
  • linus
  • updated linus
Coverage

What a team reaches in an AWS account, and how

Access to AWS is rarely one problem. These are the kinds of resource that come up, next to the mechanism in an Octelium Cluster that reaches each one.

  1. 01

    Private resources inside a VPC

    An internal service, an EC2 instance or an internal load balancer becomes a Service with a stable private name, reached over the tunnel. Nothing is exposed publicly and no bastion has to be kept running for people to hop through.

    Read more
  2. 02

    Resources in another VPC or region

    A Service upstream can be an address that is only reachable from the side of a connected host inside that VPC, which serves it over its own outbound tunnel. Accounts, regions and peering arrangements stop being something the person connecting has to know about.

    Read more
  3. 03

    RDS PostgreSQL and MySQL

    The database password is held as a Secret and injected after authorization, and the Service can force the upstream database user and database regardless of what the client asks for. Queries are recorded with the identity that ran them.

    Read more
  4. 04

    S3 buckets

    The HTTP mode signs requests upstream with AWS Signature Version 4 using an access key held in the Cluster, so a team or a workload reads a bucket over an ordinary HTTPS client without holding an IAM key.

    Read more
  5. 05

    Lambda function URLs

    The same SigV4 mechanism covers Lambda function URLs, with the service field set to lambda, so an invocation is authorized per request against identity and the HTTP request itself.

    Read more
  6. 06

    EKS clusters

    The Kubernetes mode holds the kubeconfig, client certificate or bearer token and authorizes each API request by verb, resource, namespace, API group and name, so nobody needs a kubeconfig of their own.

    Read more
  7. 07

    Other AWS APIs

    SigV4 signing takes the region and service name as configuration, so the same pattern extends to other AWS APIs that a team or an application needs to call without an IAM identity of its own.

    Read more
  8. 08

    Workloads that run inside AWS

    An EKS cluster or a CI system that publishes an OpenID Connect issuer can authenticate its own workloads to the Cluster with federated assertions, so no long-lived credential has to be stored alongside the job.

    Read more

IAM still decides what the Cluster's own credential may do. What changes is that the credential stays in one place, and the decision about who may use it is made per request against an identity you already manage.

Questions

Frequently asked

Does this replace IAM?
No. IAM still governs what the credential held by the Cluster is allowed to do inside AWS. What changes is who holds that credential: it stays in the Cluster and is used to sign or authenticate the upstream request after Octelium has authenticated and authorized the caller, so individual people and jobs do not each need an IAM identity and a key on disk.
How does secretless access to S3 and Lambda work?
The HTTP mode supports AWS Signature Version 4 as an upstream authentication method. An access key ID, a secret access key held as a Secret, a region and a service name are configured on the Service, and the proxy signs each authorized request upstream. Callers use an ordinary HTTPS client and their own Octelium credential.
Can it reach resources in several accounts and regions?
Yes. A Service upstream can be an address that is only reachable from the side of a connected host inside that network, which serves it over its own outbound tunnel, so a VPC in another account or region needs no peering, no transit gateway change and no inbound port. Each resource is still reached through a single stable route on the client.
Does the Cluster have to run inside AWS?
No. An Octelium Cluster runs on any Kubernetes, managed or on-premise, including EKS. The quick installer provisions a complete single-node Cluster, including Kubernetes itself, on one fresh Linux VM with 2 vCPUs, 2 GB of RAM and a domain you own, which is enough for evaluation.
How do workloads inside AWS authenticate?
Workload Users can authenticate with authentication tokens, the OAuth2 client credentials flow, or secretlessly with federated OpenID Connect assertions issued by the platform hosting them, including an EKS cluster that publishes an OIDC issuer and CI systems such as GitHub Actions. No special SDK or client is required.
Is Octelium free and open source?
Yes. Octelium is designed for self-hosting and does not require a proprietary hosted control plane. The core platform is free and open source. An optional enterprise package adds capabilities for organizations with additional operational, identity-management and security requirements, including the web console, SCIM provisioning and Secret encryption at rest.
Get started

Run Octelium on your own infrastructure

Install a self-hosted Cluster and start applying identity-aware access control to your Services.