Cloud-Native Security That Actually Catches Real Threats
Containers, Kubernetes, service mesh, serverless, and the supply chain that builds them — operated by engineers who run cloud-native security in production every day. Not a CNAPP dashboard with 1,000 unread findings; an actual program that closes gaps and survives audit.
What We Operate
- Container & image security
- Kubernetes runtime
- Network & service mesh
- Supply chain (SLSA)
- Serverless & functions
- Policy-as-code & evidence
What is cloud-native security?
Cloud-native security is the security discipline focused on the workload layer of cloud-native architectures: containers, Kubernetes clusters, microservices, service mesh, serverless functions, and the build pipeline and supply chain that produces them. It is distinct from general cloud security (CSPM, IAM hygiene, S3 bucket policies) because the threats and controls live at a different layer — inside the running workload rather than around the cloud account.
The shift to containers and Kubernetes moved most of the interesting security surface up the stack. Container escape, malicious image substitution, runtime privilege escalation, lateral service-to-service movement, and supply-chain compromise (typosquat, dependency confusion, malicious build artifacts) don’t surface in cloud-infrastructure security tooling. They need workload-layer instrumentation: image scanning at build and registry, runtime threat detection (Falco, eBPF agents), admission controllers enforcing policy, service mesh mTLS, and SLSA-aligned supply-chain hardening.
Why teams reach out
The pattern repeats across every engagement we take. The team migrated from VMs or ECS to Kubernetes in the last 12-24 months. Workloads ship as containers, deploys go through a CI pipeline, the cluster is doing real work for paying customers — and security is one engineer’s part-time responsibility on top of the platform-engineering job that’s already full-time. Image scanning is on (somewhere), but nobody triages findings. PodSecurity is set to whatever the EKS or GKE default was at cluster creation. Falco is "something we should turn on." The CI pipeline pulls dozens of npm or pip packages with no provenance verification.
Then a SOC 2 auditor or an enterprise customer’s security review arrives and asks specific questions: which images are signed? What’s your SLSA maturity level? How do you detect a process spawning an unexpected shell inside a container at runtime? What’s your egress policy and how is it enforced? The team scrambles, the deal slows, the audit finding gets written.
Cloud-native security done right is unglamorous discipline applied consistently: every image scanned and signed before deploy, every cluster running PodSecurity restricted profile, every service-to-service call going through mTLS-enforced mesh policy, every runtime anomaly logged and triaged. None of it is novel. All of it requires someone whose job is to operate it. PlatOps is that someone.
The six pillars we operate
Comprehensive workload-layer coverage. Each pillar is configured, tuned, and operated continuously — not a checkbox at engagement start.
Container & image security
- Build-time scanning (Trivy / Snyk / Clair) blocking vulnerable base images
- Image signing with Cosign / Sigstore + admission control on the cluster
- Distroless or minimal base images by default; CVE backlog tracked weekly
- SBOM generated per image, archived for 6+ years for HIPAA / SOC 2 evidence
Kubernetes runtime
- PodSecurity Standards (restricted profile) enforced cluster-wide via admission
- Falco runtime threat detection tuned to workload patterns (no alert-fatigue)
- Kubernetes audit logs centralized + analyzed for anomalies
- RBAC scoped per service; cluster-admin used only via break-glass with logging
Network & service mesh
- NetworkPolicy default-deny with explicit service-to-service allowlists
- Service mesh mTLS by default (Istio, Linkerd, Consul Connect)
- Mesh authorization policies — apps can't talk laterally without explicit grant
- Egress controls preventing data exfiltration via outbound calls
Supply chain (SLSA)
- Source-code provenance: signed commits, branch protection, build-from-source
- Build attestations matching SLSA Level 2-3 maturity
- Dependency scanning in CI (Snyk, Dependabot, Renovate) with auto-PR remediation
- Typosquat + dependency-confusion detection on every package add
Serverless & functions
- Lambda / Cloud Functions / Cloud Run least-privilege IAM (per-function role)
- Secrets via Secrets Manager / KMS — never in env vars or code
- Cold-start attack surface reduced via execution-context controls
- Concurrency limits and timeout caps preventing runaway-cost or DoS pivots
Policy-as-code & evidence
- OPA / Kyverno / Conftest enforcing org policy at admission, not after-the-fact
- Terraform plans pre-checked with Checkov, tfsec — non-compliant changes blocked
- Audit-ready evidence streams for SOC 2 CC6/CC7 + HIPAA §164.312 controls
- Quarterly policy review tied to threat-intel feed, not calendar reminder
Cloud-native vs. cloud-infrastructure security
Both layers matter; both layers need separate tooling and separate operating discipline. CSPM tools (Wiz, Prisma, native Security Hub or Defender) protect the cloud account boundary. Cloud-native security operates inside the running workload. The two layers don’t substitute for each other — they compose.
| Concern | Cloud-infrastructure security | Cloud-native (workload) security |
|---|---|---|
| Misconfigured IAM, S3 bucket public, etc. | Yes (CSPM core) | Out of scope |
| Container running as root with capabilities | Out of scope | Yes (PodSecurity restricted) |
| Process spawning unexpected shell at runtime | Out of scope | Yes (Falco / eBPF runtime detection) |
| Malicious image pushed to registry | Out of scope | Yes (image signing + admission) |
| Unauthorized service-to-service call | Out of scope | Yes (NetworkPolicy + mesh authz) |
| Compromised build dependency | Out of scope | Yes (SLSA + SBOM + scanning) |
| Anomalous AWS API call | Yes (GuardDuty) | Out of scope |
| Lambda function with over-broad IAM | Partial (CSPM detects) | Yes (least-privilege per function) |
The supply chain threats that bypass everything else
Your build pipeline is the most-trusted, least-instrumented part of your security architecture. These are the four supply-chain threats every cloud-native team should design against — and most don't.
1. Typosquat
Attacker publishes a package with a name visually similar to a popular dependency (e.g. `requets` vs `requests`). One installer typo and you've shipped malicious code into production.
2. Dependency confusion
Attacker publishes a public package with the same name as your internal package. Default registry resolution prefers the public version. PlatOps lockfile policies + scoped registries close this.
3. Malicious image substitution
Attacker compromises a base image or pushes a tag to your registry. Without image signing + admission control, your cluster pulls and runs whatever image-tag points to.
4. Build-system compromise
Attacker injects code via your CI runner or a compromised build action. SLSA Level 2 (signed provenance) and Level 3 (hardened build) defend; most teams stop at L1.
A realistic implementation timeline
Six months to mature program; ongoing operation prevents drift. No 30-day promises.
Assessment
Week 1-2Audit images, K8s clusters, service mesh, CI pipeline, and IaC for cloud-native gaps
Foundation
Weeks 3-6Image scanning, PodSecurity, NetworkPolicy default-deny, secrets cleanup
Runtime + Supply Chain
Weeks 7-12Falco runtime detection tuned; image signing + admission control; SBOM in CI
Service Mesh + Hardening
Months 4-6mTLS rollout, mesh authorization, advanced supply-chain (SLSA L2-3)
Continuous Operation
OngoingQuarterly policy tuning, audit-evidence collection, threat-intel-driven refinements
Tooling we work with
We're tool-agnostic. If you've already licensed a CNAPP, we'll configure and operate it. If you haven't, we'll recommend based on your stack and budget.
Image scanning
Trivy, Snyk, Clair, Grype, Aqua, Prisma
Image signing
Cosign / Sigstore, Notary, Docker Content Trust
Admission control
OPA Gatekeeper, Kyverno, Kubescape
Runtime detection
Falco, Tetragon, Sysdig Secure, Aqua Enforcer
Service mesh
Istio, Linkerd, Consul Connect, Cilium Service Mesh
CNAPP platforms
Wiz, Prisma Cloud, Sysdig Secure, Aqua, Lacework
SBOM / supply chain
Syft, Grype, in-toto, SLSA framework, Cosign attestations
Policy-as-code
OPA, Kyverno, Conftest, Checkov, tfsec
Frequently Asked Questions
What is cloud-native security?
Cloud-native security is a security discipline focused on the workload layer of cloud-native architectures — containers, Kubernetes, microservices, service mesh, and serverless functions — plus the build and supply chain that produces them. It's distinct from general cloud security (which protects AWS/GCP/Azure infrastructure) because the threats, controls, and evidence are different. Container escape, malicious image substitution, runtime privilege escalation, supply-chain compromise, and unauthorized service-to-service traffic don't surface in CSPM or IAM tooling — they need workload-layer instrumentation.
Is cloud-native security different from Kubernetes security?
Kubernetes security is a subset of cloud-native security. Cloud-native security also covers serverless (Lambda, Cloud Functions, Cloud Run), container builds and registries (regardless of orchestrator), service mesh (Istio, Linkerd, Consul), and the supply chain (SLSA, SBOM, signed artifacts). If you only run containers without K8s, you still need cloud-native security; if you run K8s with managed services around it, K8s-only frameworks miss the mesh and serverless surface.
We use AWS GuardDuty and Security Hub — is that cloud-native security?
No. Those are CSPM / cloud-infrastructure security tools — they tell you about misconfigured IAM, exposed S3 buckets, or unusual control-plane API calls. They don't see what's happening inside your containers at runtime, can't enforce admission policies on Kubernetes deployments, and don't validate signed images. You need both layers: cloud-infrastructure security AND cloud-native (workload-layer) security.
What about Wiz, Aqua, Sysdig, Prisma Cloud, and other CNAPP platforms?
These are Cloud-Native Application Protection Platforms (CNAPP) and they're useful — Wiz especially for cloud-side visibility, Sysdig and Aqua for runtime detection, Prisma for Palo Alto-aligned shops. We work with whatever CNAPP you've licensed and configure it correctly; we don't push a particular vendor. The work is in tuning policies, suppressing noise, integrating findings into engineering workflow, and making sure runtime detection actually catches things instead of generating false positives that get ignored.
How does cloud-native security map to SOC 2 and HIPAA?
SOC 2 Common Criteria 6 (logical access) and 7 (system operations) both land on workload-layer evidence: who can pull which images, what runs in the cluster, how runtime anomalies are detected. HIPAA technical safeguards (§164.312) similarly require audit logging, integrity controls, and access controls at the workload boundary. Auditors increasingly ask for image-scanning evidence, signed-deployment proof, and runtime detection logs — not just CSPM dashboards.
What's the realistic timeline to operate cloud-native security well?
First 30 days: image scanning at the registry, K8s PodSecurity restricted profile enforced on all new namespaces, NetworkPolicy default-deny in place. Days 30-90: runtime threat detection deployed and tuned, image signing with admission control, secrets pulled out of any baked images. Months 3-6: service mesh mTLS rolled out, SBOM generation in CI, supply-chain hardening to SLSA Level 2. Mature program at month 6; ongoing operation prevents drift.
Can you operate cloud-native security as a managed service?
Yes. Implementation is typically 8-16 weeks; ongoing operation runs $5k-$8k/month including weekly CVE triage, runtime alert review, quarterly policy tuning, audit-evidence collection, and incident response for cloud-native-specific events. We work alongside your engineering team, not as a black box.
Ready to harden your cloud-native stack?
Get a free 30-day cloud-native security assessment. We audit your image pipeline, Kubernetes posture, service mesh, and supply chain — and deliver a prioritized remediation plan.