7 Essential Azure Kubernetes Security Best Practices

Securing a single Azure Kubernetes Service cluster is manageable; securing a fleet introduces systemic risk. As cluster count grows, manual configuration and per-cluster policy enforcement break down, leading to configuration drift and inconsistent security posture. The problem shifts from identifying controls to enforcing them deterministically across environments.

A scalable approach requires two primitives: declarative control and centralized orchestration. This is where GitOps and policy-as-code become foundational. By defining security controls (RBAC, network policies, pod security standards, image policies) as versioned artifacts, teams can apply them uniformly across clusters and audit changes through standard CI/CD workflows.

With Plural, you get a centralized management plane that continuously reconciles desired state across all clusters. Instead of pushing ad hoc changes, platform teams define baseline security configurations once and propagate them fleet-wide. Policy engines can enforce constraints (e.g., disallow privileged containers, enforce mTLS, restrict ingress exposure), while GitOps pipelines ensure every cluster converges to the same state.

This model eliminates configuration drift, reduces manual intervention, and enables continuous compliance. Security becomes an automated control loop rather than a reactive process, allowing platform teams to scale cluster operations without scaling operational overhead.

Key takeaways:

• Adopt a layered security model for AKS: Secure your environment from the inside out by first hardening the control plane with RBAC and private clusters, then implementing network policies to isolate workloads, and finally securing applications with image scanning and runtime controls.
• Use GitOps to automate security at scale: Define security policies, configurations, and cluster updates as code in a central repository. This approach ensures consistent application across all clusters, which minimizes manual errors and creates a clear audit trail for every change.
• Use a unified platform for fleet-wide security: A centralized tool like Plural provides the necessary visibility to monitor cluster health and the automation to consistently enforce policies and manage updates, simplifying security management across your entire environment.

What Are the Key Security Risks in AKS?

Azure Kubernetes Service abstracts control plane operations but does not eliminate security ownership. The risk surface shifts to configuration, workload integrity, and multi-cluster operations. In practice, most incidents stem from misconfigured access controls, untrusted workloads, or weak network isolation rather than platform-level failures.

At scale, these risks compound. Inconsistent policies across clusters lead to drift, making it difficult to reason about security posture. A compromised cluster can expose sensitive data, disrupt workloads, or act as a pivot point into the broader cloud environment. A defensible strategy starts with modeling attack paths and enforcing controls consistently via Plural.

Common Vulnerabilities and Attack Vectors

The primary attack surface is the Kubernetes control plane and workload runtime.

Exposing the Kubernetes API server publicly allows adversaries to enumerate resources and attempt credential-based attacks. Within the cluster, excessive RBAC permissions and lack of namespace isolation enable lateral movement. Weak network policies often result in flat networks where any pod can communicate with any other pod.

Workload-level risks are equally critical. Outdated base images often introduce known CVEs into the environment. At the runtime layer, vulnerabilities in components such as runC have demonstrated that a compromised container can escape isolation and access the host.

Supply chain attacks further expand the threat model. Malicious code can be introduced via compromised container registries, dependencies, or CI pipelines. Without image signing and verification, clusters may run untrusted workloads without detection.

Understand the Shared Responsibility Model

AKS operates under a shared responsibility model with Microsoft.

Microsoft secures the underlying infrastructure: physical data centers, networking, and managed control plane components (API server, etcd). The user is responsible for everything deployed on top of it, including container images, application code, secrets, RBAC policies, and network configuration.

This boundary is frequently misunderstood. Teams often assume managed Kubernetes implies end-to-end security, leaving gaps in workload hardening, identity management, and runtime protection. In reality, AKS reduces operational burden, not security accountability.

Why Default Configurations Aren't Enough

Default AKS configurations prioritize usability, not hardening. Out-of-the-box settings typically include permissive networking and coarse-grained access control, which are unsuitable for production.

Relying on defaults leads to:

• Overprivileged identities violating least-privilege principles
• Unrestricted pod-to-pod communication
• Publicly exposed services without proper ingress controls

A production-grade setup requires layered controls: strict RBAC, identity federation (e.g., Azure AD integration), network segmentation, image policies, and continuous monitoring.

With Plural, these controls can be defined declaratively and enforced fleet-wide. Instead of hardening clusters individually, you standardize security baselines and ensure continuous reconciliation, eliminating drift and maintaining compliance at scale.

How to Secure the AKS Control Plane

The control plane in Azure Kubernetes Service is the highest-value target in your cluster. Compromise here translates to full cluster control: workload scheduling, secret access, and state manipulation. While AKS manages control plane infrastructure, access and exposure are still your responsibility.

A hardened setup requires layered controls: strict identity and access management, minimized network exposure, hardened API configuration, and private connectivity. At scale, these controls must be declarative and consistently enforced via Plural to avoid drift.

Implement Role-Based Access Control

Role-Based Access Control (RBAC) is the primary mechanism for constraining access to the Kubernetes API.

Define narrowly scoped roles (e.g., namespace-bound read-only access) and bind them to identity groups rather than individual users. Avoid cluster-admin except for break-glass scenarios. Overprivileged service accounts are a common escalation path and should be audited aggressively.

In multi-cluster environments, RBAC sprawl becomes unmanageable without standardization. With Plural, RBAC policies are defined once and propagated fleet-wide via GitOps. This ensures consistent authorization boundaries and makes permission audits deterministic.

Integrate with Azure Active Directory

Static credentials (client certificates, long-lived tokens) are operationally fragile and expand your attack surface. Instead, integrate AKS with Microsoft Entra ID for centralized identity and authentication.

This enables:

• SSO-backed access to the Kubernetes API
• MFA enforcement at the identity layer
• Group-based authorization mapped to RBAC

Plural extends this model through its embedded dashboard, using Kubernetes impersonation tied to your OIDC provider. This removes the need for distributing kubeconfigs while ensuring every API action is traceable to a verified identity.

Configure API Server Security

Even with strong authentication, the API server must be hardened against misuse and lateral movement.

Key controls include:

• Disable anonymous authentication
• Enable audit logging for all API activity
• Restrict API server access via authorized IP ranges
• Regularly review security-relevant flags and defaults

A critical AKS-specific risk is access to the Azure Instance Metadata Service (IMDS). If pods can query IMDS, a compromised workload may retrieve tokens or metadata to escalate privileges. Enforce network rules to block pod access to metadata endpoints.

These configurations should not be applied manually. With Plural, you can encode API server hardening policies and continuously validate them across clusters.

Set Up a Private Cluster

The most effective way to reduce control plane exposure is to eliminate its public surface entirely.

A private AKS cluster assigns the API server a private IP within your VNet, removing public internet access. All interactions must originate from trusted networks (VPN, bastion, or peered environments).

This significantly reduces:

• External scanning and brute-force attempts
• Credential stuffing against exposed endpoints
• Accidental exposure due to misconfigured firewall rules

Managing private clusters introduces operational complexity, especially at fleet scale. Plural addresses this with an agent-based model: each cluster establishes an outbound-only connection to the management plane. This enables centralized control, deployments, and observability without exposing the API server.

The result is a control plane that is both isolated and operable—secure by network design, yet still manageable through a unified interface.

How Do You Secure Container Images and Application Workloads?

Control plane hardening is insufficient if workloads remain a weak link. In Azure Kubernetes Service, most real-world compromises originate from vulnerable images, untrusted supply chains, or overly permissive runtime configurations.

A robust strategy spans the full lifecycle: build-time validation, registry trust, admission control, and runtime enforcement. With Plural, these controls can be standardized and continuously enforced across clusters, eliminating drift.

Scan Container Images for Vulnerabilities

Container images frequently inherit vulnerabilities from base layers and dependencies. These map to known CVEs and are often exploitable if left unpatched.

Implement continuous image scanning as part of your CI pipeline and at runtime. Tools like Trivy detect vulnerabilities before deployment and monitor running workloads for newly disclosed issues.

Key practices:

• Scan images on build and before deployment
• Fail builds on critical/high CVEs
• Continuously rescan deployed images as vulnerability databases update

Plural integrates these scanners into a GitOps workflow, ensuring every deployed artifact meets a defined security baseline.

Manage Trusted Registries

Image provenance is a supply chain problem. Pulling from public or unverified registries introduces risk of tampering or embedded malware.

Use private, controlled registries such as Azure Container Registry and enforce allowlists at the cluster level.

Best practices:

• Restrict image sources via admission policies
• Use signed images and verify signatures at deploy time
• Maintain an auditable mapping between Git commits and image digests

Plural enforces these constraints declaratively, ensuring workloads only reference approved registries across all clusters.

Enforce Pod Security and Runtime Controls

Runtime misconfigurations are a primary escalation vector. Containers should operate with minimal privileges and strict isolation.

Core controls:

• Run containers as non-root
• Drop unnecessary Linux capabilities
• Use read-only root filesystems
• Enforce network segmentation between workloads

Policy engines like OPA Gatekeeper can enforce these constraints at admission time. For example, rejecting privileged pods or those lacking security contexts.

Plural centralizes these policies, applying them fleet-wide and ensuring consistent enforcement without manual intervention.

Define Resource Limits and Security Contexts

Resource constraints are both a stability and security control. Unbounded workloads can exhaust cluster resources or be abused for denial-of-service scenarios.

Define:

• CPU and memory requests/limits for every container
• Pod-level quotas to enforce fair usage
• Security contexts to constrain syscall and filesystem access

Security contexts enable fine-grained controls such as:

• runAsNonRoot enforcement
• Seccomp and AppArmor profiles
• Filesystem and privilege restrictions

Plural provides visibility into these configurations across clusters, making it straightforward to detect non-compliant workloads and enforce baseline policies.

By combining supply chain security, strict runtime controls, and resource governance, you reduce both the likelihood and impact of workload-level compromises.

How to Manage Network Security and Access Control

Network security in Azure Kubernetes Service is about enforcing deterministic traffic flows across both north-south (ingress/egress) and east-west (pod-to-pod) communication. By default, Kubernetes networking is permissive, which creates a flat network—ideal for lateral movement after an initial compromise.

A secure architecture applies zero-trust principles: deny by default, explicitly allow required communication, and enforce controls at multiple layers. With Plural, these policies can be defined once and enforced consistently across clusters.

Use Azure CNI and Network Policies

Azure CNI assigns VNet IPs directly to pods, enabling native integration with Azure networking constructs. This is the foundation for granular traffic control.

Kubernetes Network Policies act as a distributed firewall at the pod level. Without them, all pods can communicate freely.

Baseline approach:

• Enforce a default-deny policy for all namespaces
• Explicitly allow required pod-to-pod communication
• Restrict access to sensitive services (e.g., databases, internal APIs)

This model prevents lateral movement. If a pod is compromised, its ability to scan or access other services is constrained by policy.

Plural ensures these policies are versioned and applied fleet-wide, eliminating inconsistencies between clusters.

Manage Ingress and Egress Traffic

North-south traffic must be tightly controlled to prevent external exploitation and data exfiltration.

For ingress:

• Terminate traffic through a WAF such as Azure Application Gateway
• Filter malicious requests (SQL injection, XSS, etc.) before they reach workloads

For egress:

• Restrict outbound traffic to approved destinations only
• Prevent pods from communicating with arbitrary external endpoints

Azure Firewall can enforce outbound allowlists, ensuring workloads only interact with trusted services.

Plural aligns with this model via an egress-only architecture: cluster agents initiate outbound connections to the control plane, eliminating the need to expose inbound management endpoints.

Configure Network Security Groups and Firewalls

Network Security Groups operate at the subnet and VM level, providing coarse-grained traffic filtering.

They should be used to:

• Restrict traffic between AKS node subnets and other networks
• Block unnecessary inbound internet access
• Control hybrid connectivity (e.g., on-prem ↔ cloud)

NSGs complement—not replace—Kubernetes Network Policies. Together, they form a layered model:

• NSGs: infrastructure-level boundaries
• Network Policies: application-level segmentation

Plural enables consistent enforcement of both layers by integrating infrastructure and cluster policy definitions into a single GitOps workflow.

Secure Private Endpoints and Service Meshes

Reducing exposed surfaces is the most effective security control.

Private AKS clusters ensure the API server is not publicly reachable. All access must traverse private networking paths, eliminating exposure to internet-based attacks.

For advanced east-west security, a service mesh such as Istio or Linkerd introduces identity-aware communication between services.

Key capabilities:

• Automatic mutual TLS (mTLS) for pod-to-pod encryption
• Fine-grained authorization policies
• Deep observability into service communication

This shifts security from network perimeter enforcement to workload identity verification.

With Plural, service mesh configurations and policies can be standardized across clusters, ensuring consistent encryption and access control without per-cluster tuning.

A properly segmented, policy-driven network significantly limits blast radius. Even if an attacker gains initial access, they encounter enforced boundaries at every layer—network, identity, and workload.

What Tools Should You Use for Secrets Management and Data Protection?

Secrets management in Azure Kubernetes Service is a lifecycle problem: secure storage, controlled access, safe distribution, and continuous rotation. The primary risk is credential leakage—either through misconfigured access, plaintext exposure, or compromised workloads.

A production-grade approach combines external secret stores, strict RBAC, encryption at all layers, and automated rotation. With Plural, these controls can be standardized and enforced across clusters to eliminate drift.

Integrate with Azure Key Vault

Azure Key Vault should be the source of truth for sensitive data.

Instead of storing secrets in Kubernetes, use the Secrets Store CSI Driver to mount secrets directly into pods at runtime. This avoids persisting sensitive values in etcd and ensures secrets are only accessible to authorized workloads.

Key advantages:

• Centralized secret lifecycle management
• Fine-grained access policies via managed identities
• No long-lived credentials embedded in manifests

Plural can deploy and configure this integration fleet-wide, ensuring all clusters follow the same secret access patterns.

Follow Kubernetes Secrets Best Practices

Native Kubernetes Secrets are convenient but have limitations. They are Base64-encoded, not encrypted by default at the application layer.

Mitigations:

• Enforce strict Role-Based Access Control on Secret objects
• Restrict access to only required service accounts
• Avoid embedding secrets in environment variables where possible

AKS encrypts etcd at rest, but access control is still the primary defense. Misconfigured RBAC is a common cause of secret exposure.

With Plural, RBAC policies can be defined declaratively and synchronized across clusters, ensuring consistent access boundaries.

Encrypt Data at Rest and in Transit

Encryption must be enforced across all data states.

At rest:

• AKS encrypts managed disks by default
• Enable host-based encryption for additional coverage (temp disks, caches)

In transit:

• TLS secures API server communication
• Enforce pod-to-pod encryption using service meshes like Istio or Linkerd (mTLS)

This prevents interception and tampering of sensitive data as it moves through the system.

Plural complements this with a secure, outbound-only control plane connection, ensuring management traffic is encrypted without exposing cluster endpoints.

Manage and Rotate Certificates

Certificates underpin trust across Kubernetes components and external integrations. Expired or compromised certificates can cause outages or enable man-in-the-middle attacks.

Best practices:

• Automate certificate issuance and rotation
• Avoid long-lived certificates
• Regularly update clusters to inherit patched components

AKS handles rotation for control plane certificates, but application-level certificates (e.g., ingress TLS) remain your responsibility.

Plural simplifies this operational burden by automating cluster upgrades and standardizing certificate management workflows across environments. This ensures consistent rotation policies and reduces the risk of stale credentials.

A well-designed secrets and data protection strategy minimizes credential exposure, enforces least privilege, and ensures encryption everywhere. Combined with Plural’s centralized control, this becomes a repeatable, auditable system rather than an ad hoc process.

How Can You Overcome Common AKS Security Challenges?

Security issues in Azure Kubernetes Service rarely stem from a single misconfiguration—they emerge from scale, inconsistency, and lack of visibility. As cluster count grows, so does the probability of drift, policy gaps, and delayed remediation.

The solution is not more manual controls, but system-level enforcement: declarative configuration, automated reconciliation, and centralized observability. Plural provides this control plane, turning security into a continuous, auditable process.

Manage Configuration Complexity at Scale

Fleet-scale AKS introduces combinatorial complexity across RBAC, network policies, and workload configurations. Manual enforcement does not scale and guarantees drift.

Adopt GitOps as the control mechanism:

• Use Git as the single source of truth
• Version all security policies and cluster configs
• Enforce automated reconciliation

Plural CD continuously syncs desired state across clusters and detects drift in real time. This ensures that security controls are not only defined but consistently enforced, eliminating configuration skew.

Integrate Security Tools and Automation

AKS security requires multiple layers: supply chain scanning, admission control, and runtime protection. Point solutions without orchestration create gaps.

Core components:

• Image scanning via Trivy
• Policy enforcement via OPA Gatekeeper
• Runtime monitoring and threat detection

Plural abstracts this integration by providing a curated deployment layer. Security tools can be deployed declaratively and managed centrally, ensuring consistent configuration and lifecycle management across clusters.

Automation is critical here—manual installation or updates of security tooling introduces lag and inconsistency.

Address Skills Gaps with Training

Kubernetes security has a steep learning curve, particularly around identity, networking, and runtime isolation. This creates operational risk when teams lack deep expertise.

Two complementary strategies:

• Invest in training for foundational concepts (RBAC, networking, policies)
• Use platforms that abstract operational complexity

Plural reduces the cognitive load by standardizing workflows:

• Centralized RBAC enforcement
• Automated upgrades and patching
• Unified policy management

This allows teams to focus on security intent rather than low-level implementation details.

Maintain Continuous Monitoring and Compliance

Security is a continuous control loop, not a one-time setup. Without real-time visibility, misconfigurations and threats persist undetected.

Requirements:

• Centralized logging and audit trails
• Real-time cluster and workload visibility
• Continuous compliance validation against policies

Plural provides a multi-cluster dashboard that aggregates state across your fleet. This enables:

• Immediate detection of policy violations
• Visibility into workload health and configuration
• Faster incident response through unified telemetry

Combined with GitOps, this creates a closed-loop system: define → enforce → observe → remediate.

At scale, this is the only viable model. Security becomes deterministic, repeatable, and continuously validated—rather than reactive and fragmented.

How to Automate Monitoring, Logging, and Security

At fleet scale, security without automation degrades quickly. In Azure Kubernetes Service, manual monitoring and policy enforcement cannot keep pace with cluster churn, workload changes, and evolving threats.

The correct model is a closed-loop system: collect telemetry → detect anomalies → enforce policy → remediate automatically. Plural acts as the orchestration layer that standardizes this loop across clusters.

Configure Azure Monitor and Log Analytics

Visibility is the foundation of any security system. Azure Monitor collects metrics and logs across nodes, pods, and control plane components.

Stream diagnostics into Log Analytics for centralized querying and correlation.

Key signals to track:

• API server access patterns (failed auth, unusual verbs)
• Pod lifecycle anomalies (crash loops, unexpected restarts)
• Node-level events (resource spikes, unauthorized processes)

Define alerting rules on top of these signals:

• Trigger alerts on suspicious API activity
• Detect anomalous network behavior
• Notify via webhook integrations (Slack, PagerDuty, etc.)

Plural ensures these configurations are consistently deployed and maintained across clusters, avoiding blind spots caused by inconsistent observability setups.

Use Azure Defender for Containers

Microsoft Defender for Containers provides runtime threat detection and posture management for AKS.

Core capabilities:

• Continuous assessment of cluster configurations
• Vulnerability scanning for images in Azure Container Registry
• Runtime detection of suspicious behaviors (e.g., reverse shells, crypto mining)

This bridges the gap between static scanning and runtime security. Alerts include context-rich signals that accelerate incident response.

Plural integrates these signals into a centralized view, allowing teams to correlate findings across clusters rather than investigating in isolation.

Automate Patch Management and Cluster Updates

Unpatched clusters are a high-probability attack vector. Kubernetes releases frequently include security fixes, making upgrade cadence critical.

AKS supports:

• Automated node image upgrades
• Scheduled cluster version upgrades

However, safe rollout requires orchestration:

• Stage upgrades in pre-production clusters
• Roll out progressively across environments
• Monitor for regressions and rollback on failure

Plural’s CD engine encodes this as a GitOps workflow:

• Define upgrade policies declaratively
• Execute controlled rollouts across clusters
• Automatically halt or roll back on anomalies

This converts upgrades from a risky manual task into a predictable, automated pipeline.

Enforce Policies with OPA Gatekeeper

Policy-as-code enforces security invariants at admission time. OPA Gatekeeper validates all resource requests against defined rules.

Typical policies:

• Block privileged containers
• Require resource limits and requests
• Restrict image registries to trusted sources
• Enforce labeling and compliance metadata

Without automation, policy enforcement becomes inconsistent across clusters. With Plural:

• Policies are versioned in Git
• Applied uniformly across all clusters
• Continuously reconciled to prevent drift

This ensures that security rules are not advisory—they are enforced systematically.

How to Build Your AKS Security Strategy

Developing a robust security strategy for AKS is not a one-time project; it is an ongoing process of assessment, implementation, and governance. A successful strategy moves beyond default settings to create a resilient, multi-layered defense tailored to your organization's specific needs. This involves understanding your risks, rolling out changes methodically, and establishing operational practices that maintain security over time. By breaking the process down into manageable phases, you can systematically harden your AKS environment against threats without overwhelming your team or disrupting development workflows.

Plural provides the foundational tooling to execute this strategy effectively. Its unified platform gives you the visibility needed for initial assessments and the automation required for implementation and long-term governance. With a centralized control plane, you can apply security controls consistently across your entire fleet of AKS clusters, turning strategic goals into operational reality.

Assess Security and Analyze Risks

The first step is to understand your current security posture. Securing AKS requires a layered defense strategy that covers everything from access control and network policies to workload configurations and data encryption. Many organizations struggle with the complexity of managing these different layers, especially at scale. Effective security must protect the entire infrastructure, including clusters, nodes, and pods, from misconfigurations and unauthorized access.

To begin, you need a clear view of all your Kubernetes resources. Plural’s multi-cluster dashboard provides this comprehensive visibility from a single interface. It allows you to inspect configurations, review RBAC policies, and identify potential vulnerabilities across every AKS cluster in your fleet. This centralized view is critical for conducting a thorough risk analysis and identifying the most critical areas to address first.

Adopt a Phased Implementation

Once you have assessed your risks, you can begin implementing security controls in a structured, phased manner. Instead of attempting to secure everything at once, focus on incremental improvements. Start with foundational elements like integrating Azure AD and enforcing strict RBAC policies. From there, you can move on to implementing network policies, hardening container images, and configuring monitoring tools. This approach minimizes disruption and allows your team to adapt to new processes gradually.

This is where a GitOps workflow becomes invaluable. Using Plural, you can define security configurations and policies as code in a Git repository. Changes are rolled out through pull requests, providing a clear audit trail and allowing for peer review before anything is deployed. For example, you can introduce a new OPA Gatekeeper policy to one cluster, validate its impact, and then use Plural’s continuous deployment capabilities to apply it across your entire fleet, ensuring consistent and manageable implementation.

Establish Ongoing Governance and Operations

Security is not a static state; it requires continuous attention. Your strategy must include processes for ongoing governance and operations to maintain your security posture over time. This includes regularly updating clusters to patch vulnerabilities, monitoring for suspicious activity, and ensuring compliance with internal and external policies. As Microsoft Learn notes, regularly updating your cluster to the latest software versions is a critical part of staying secure.

Plural helps automate these essential operational tasks. The platform can manage cluster updates and patches, reducing the manual effort and risk of human error. By enforcing policies through its GitOps engine, Plural prevents configuration drift and ensures that your security standards are consistently applied. This continuous enforcement, combined with centralized monitoring, creates a strong governance framework that keeps your AKS environment secure as it scales and evolves.

Related Articles

• Azure Kubernetes 101: Your Ultimate Guide
• Kubernetes Cluster Security: A Deep Dive

Frequently Asked Questions

Why aren't the default AKS settings secure enough? Default AKS configurations are designed for ease of use and rapid deployment, not for a hardened security posture. They often include permissive network rules and lack fine-grained access controls, leaving potential security gaps. A secure environment requires you to actively configure settings like Role-Based Access Control (RBAC), network policies, and workload permissions to enforce the principle of least privilege and create a layered defense.

What's the difference between Kubernetes Network Policies and Azure Network Security Groups (NSGs)? Think of them as two different layers of a firewall. Azure NSGs operate at the infrastructure level, controlling traffic to and from the virtual machines that make up your cluster nodes. They manage broader traffic flow based on IP addresses and ports. Kubernetes Network Policies, on the other hand, operate at the application level inside the cluster. They provide more granular control by managing traffic flow between individual pods, which is essential for implementing a zero-trust network model for your microservices.

How does Plural manage private clusters if they aren't exposed to the internet? Plural uses a secure, agent-based architecture. A lightweight agent installed on each of your private AKS clusters initiates an outbound-only connection to the Plural control plane. This design means your cluster's API server never needs to be exposed to the public internet. All management tasks, from deployments to dashboard visibility, are handled securely through this egress-only communication channel, giving you centralized control without compromising network isolation.

My team uses Kubernetes Secrets. Why should we switch to Azure Key Vault? While Kubernetes Secrets are functional, they are only Base64 encoded by default, not truly encrypted within etcd. Integrating with a dedicated secrets manager like Azure Key Vault provides a much higher level of security. It allows you to centrally manage secrets, enforce strict access policies, and maintain a detailed audit trail. Using the Secrets Store CSI driver, your applications can mount secrets from Key Vault as files at runtime, so credentials are never stored directly in the cluster's database.

How does GitOps help enforce security policies consistently? GitOps establishes your Git repository as the single source of truth for all cluster configurations, including security policies like RBAC rules and network policies. This means every change is reviewed, approved, and logged through a pull request before being applied. Plural’s continuous deployment engine automatically syncs these configurations to your clusters, preventing manual changes and configuration drift. This ensures that your security posture remains consistent and auditable across your entire fleet of clusters.