Secure microservices by treating every service-to-service call as a security boundary—not by assuming that traffic inside your network is safe. Give workloads verifiable identities, authorize each request, protect communications and secrets, limit platform permissions, and make activity observable. An API gateway or service mesh can help deliver shared controls, but neither removes the need to protect individual services.
What microservices security needs to cover
A microservices system is a set of independently deployed components that communicate through APIs. Its security therefore depends on more than the public-facing application: each service, its dependencies, the platform that runs it, and the connections between them can affect the system’s security.
NIST SP 800-204, published in August 2019, identifies concerns including authentication and access management, service discovery, secure communications, monitoring, resilience, throttling, integrity when services are introduced, and session persistence. Use these as threat-model prompts, not as a claim about the capabilities of any current product.
Map services and trust relationships
Start by inventorying externally reachable APIs, internal APIs, service identities, data handled, dependencies, and the routes through which components communicate. For each connection, ask which workload is calling, which service is receiving the request, what data or action is involved, and what should happen if an identity or dependency cannot be verified.
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This map helps reveal paths that an edge-only design can miss: internal APIs reachable directly, a service with more permissions than its function needs, or a dependency that receives sensitive data without an explicit authorization decision.
How should service calls be authenticated and authorized?
Authentication establishes which workload or caller is making a request. Authorization decides what that identity may do. Define both explicitly: a verified service identity should not automatically grant permission to every API or operation in the system.
Do not rely on the gateway as the only boundary
An API gateway can centralize checks for traffic entering a system, which may be useful in a simpler architecture. But OWASP’s Microservices Security Cheat Sheet warns that internal services also need protection against direct, anonymous connections that bypass the gateway. Use controls at the receiving service or network/platform layer to prevent that bypass from becoming an authorization bypass.
Choose where authorization decisions are made
A policy decision point can be centralized or placed close to the service. A remote central decision can make policy easier to manage consistently, but each check adds a network dependency and potential latency. If the policy service is unavailable, the system needs a defined failure behavior rather than an accidental default.
Caching or distributing policy can improve availability and response time, but cached decisions may be stale after a permission changes. Compare designs by policy consistency, latency, outage behavior, and the risk of acting on old policy; there is no universal layout that suits every system.
mTLS and tokens solve different parts of service authentication
Mutual TLS (mTLS) lets communicating services authenticate one another and protects the confidentiality and integrity of data in transit. It is a transport-layer control: it does not, on its own, specify every application-level action a caller may perform.
OWASP’s Microservices Security Cheat Sheet states: “The main challenges of using mTLS are key provisioning and trust bootstrap, certificate revocation, and key rotation.” In practice, plan how certificates are issued, how workloads establish trusted identities, how compromised credentials are revoked, and how credentials are rotated without disrupting service.
Tokens can carry an application-layer caller identity and permissions. OWASP describes online token validation as a way to detect revoked tokens, with added latency; offline validation avoids that online check but may not detect revoked or compromised tokens. Token-based authentication commonly operates over TLS, so a token should not be treated as a replacement for protecting the transport.
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| Design choice | What it provides | Operational trade-off |
|---|---|---|
| mTLS | Peer authentication and confidentiality and integrity for data in transit, as described by OWASP’s Microservices Security Cheat Sheet. | Requires certificate provisioning, trust bootstrapping, revocation, and rotation. |
| Online token validation | Application-layer identity and permissions; an online check can detect revoked tokens, according to OWASP’s cheat sheet. | The validation check adds latency and depends on the validation path being available. |
| Offline token validation | Application-layer identity and permissions without an online validation check for each request. | May not detect revoked or compromised tokens, according to OWASP’s cheat sheet. |
These mechanisms can be combined: for example, a system can protect the transport and separately evaluate a caller’s application-level permissions. Choose based on the identities and request context the system needs, the freshness of revocation decisions, and the lifecycle work the team can reliably operate.
When attribute-based access control helps
NIST SP 800-204B, published in August 2021, identifies mutual authentication between service pairs and robust access control—including attribute-based access control (ABAC)—as important requirements for service-mesh deployments. ABAC can express decisions using context about identities, resources, or the environment rather than relying only on static roles. Whether it is appropriate depends on the organization’s identity model, resources, and deployment environment.
When a service mesh helps—and what it costs
A service mesh uses proxy-based components to provide shared capabilities for service traffic. NIST SP 800-204A, published in May 2020, describes mesh components as a way to specify and implement services such as identity, secure communication, discovery, resiliency, and monitoring. It presents the mesh as an approach, not a requirement.
OWASP’s Kubernetes guidance lists capabilities that can include mTLS, identity-based authentication and authorization, telemetry, ingress and egress controls, and RBAC support. These can make common controls easier to apply across services. The same guidance cautions that a mesh adds complexity and expertise requirements and may slow workloads. The actual performance effect depends on the mesh, configuration, and workload; the cited guidance does not establish a universal overhead figure.
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Compare a mesh with application-native controls by looking at which services it covers, what it can observe, compatibility with your workloads, the expertise needed to run it, operational complexity, and workload-specific performance. A shared control plane is valuable only if the organization can operate and monitor it safely.
Protect Kubernetes access and secrets
Kubernetes is API-driven, so access to its API is a critical control point. Kubernetes security documentation cautions that integrations can change a cluster’s security profile. Review what each integration is allowed to do, especially requests to view all Secrets, and narrow permissions and scope where possible.
Kubernetes documentation describes optional encryption at rest for API objects such as Secrets and ConfigMaps. This protects stored representations; it does not replace restricting API access or protecting backups. Assess integration privileges, secret access, namespace scope, and whether actions can be audited or constrained.
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Centralized logs help connect activity across independently deployed services, but telemetry can expose passwords, API keys, personal data, or other sensitive values if it is collected carelessly. OWASP’s Microservices Security Cheat Sheet describes a collection path in which services write locally and an agent forwards logs through a broker to central collection.
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- Use structured records and carry correlation IDs through call chains so related events can be traced across services.
- Authenticate and encrypt log transport, and control access to the broker and central collection.
- Filter or scrub sensitive values, including passwords, API keys, and personal data, before they enter the log pipeline.
These measures support investigation while reducing the chance that logs become a route for exposing secrets.
Include security in delivery and review
Security controls need to remain aligned with changing application code and infrastructure. NIST SP 800-204C (2022) treats application code, application-service code, infrastructure as code, policy as code, and observability as code as parts of a cloud-native system’s development and runtime picture. This supports reviewing security across delivery and operation rather than treating it as a one-time perimeter configuration.
NIST SP 800-228, update 1, dated June 2025, is a newer reference for cloud-native API protection and cites several SP 800-204 publications. Use these documents as architectural starting points, then check the documentation for the Kubernetes version and other platform components actually deployed before applying configuration guidance. The cited material does not establish a vendor benchmark or a universal winner among gateways, meshes, mTLS, or token designs.
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