Container security addresses the complete container lifecycle — securing base images, scanning application images for vulnerabilities, enforcing runtime security policies in Kubernetes clusters, and providing the network policy and admission control that prevents container workloads from becoming a security liability.
Container adoption has outpaced container security maturity in most organizations. Misconfigured Kubernetes clusters, vulnerable container images, and overly permissive pod security policies are a rich attack surface. RLM advises on the container security architecture that protects containerized workloads without impeding developer velocity.
A structured advisory process — from security posture assessment and market evaluation to vendor selection, contract negotiation, and post-deployment validation — tailored to your risk profile and compliance obligations.
We assess your container security posture — image vulnerability density, Kubernetes configuration against CIS Benchmarks, RBAC policy quality, network policy coverage, and the runtime security gaps that represent your most significant container risk.
We evaluate container security platforms — Aqua Security, Prisma Cloud, Sysdig, Twistlock/Prisma, Snyk Container, and Falco (open source) — against your Kubernetes environment, CI/CD integration requirements, and the runtime protection depth required.
We design the image security pipeline — base image hardening standards, vulnerability scanning in CI/CD, and the admission control policy (OPA/Gatekeeper, Kyverno) that prevents vulnerable or non-compliant images from being deployed.
We assess and harden your Kubernetes configuration — pod security standards, RBAC least privilege, network policy implementation, and the secrets management approach — against the CIS Kubernetes Benchmark and your threat model.
These are the dimensions that consistently separate effective security programs from expensive ones — and the questions RLM will help you answer before any vendor commitment.
Container images inherit vulnerabilities from base images and installed packages. Evaluate the scanning coverage — OS packages, application libraries, and configuration files — and the remediation workflow that ensures vulnerable images are replaced promptly.
Kubernetes RBAC policies accumulate over time and become overly permissive. Evaluate the RBAC audit approach and the least-privilege enforcement mechanism that prevents privilege escalation through Kubernetes permissions.
Vulnerabilities in container images are pre-deployment concerns; runtime threats occur after deployment. Evaluate runtime security capabilities — syscall monitoring, behavioral baselines, and the response actions available when anomalous container behavior is detected.
Container images are often pulled from public registries that may include malicious images. Evaluate the image registry security controls — private registry enforcement, image signing and verification, and the policy that prevents untrusted image sources.
Application secrets in environment variables or configuration files are a common container vulnerability. Evaluate the secrets management approach — Vault integration, Kubernetes secrets encryption, and the scanning that detects hardcoded secrets in images.
Default Kubernetes networking allows pod-to-pod communication without restriction. Evaluate the network policy implementation that enforces micro-segmentation between workloads and limits the blast radius of a compromised container.
"RLM helped us build a security program that satisfied our board and our auditors — without locking us into a single vendor's roadmap. Their independence is the whole point."
"We had three overlapping security tools doing the same job. RLM helped us rationalize the stack, cut spend by 30%, and actually improve our detection coverage in the process."
Start with a no-cost conversation with an RLM security advisor — vendor neutral, no agenda, just clarity on where your gaps are and the right path to close them.
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