Comprehensive Container Vulnerability Management Services by Experts

We help teams secure modern, fast-moving environments by treating image and runtime risk as a continuous discipline rather than a one-time task.

Our approach covers the full stack — from build pipelines and registries to admission controls and host interfaces — so flaws are found and fixed before production is impacted. We combine pipeline-native scanning, SBOMs, and policy enforcement to keep images accurate and reduce drift when ephemeral instances rotate.

That continuous stance improves compliance readiness and cuts noisy alerts. We partner with your teams to standardize sources, harden defaults, and operationalize remediation playbooks that fit existing workflows without slowing delivery.

Expect measurable outcomes: fewer emergency patches, stronger audit evidence, and faster time to detect and remediate threats across images and hosts.

• We treat container vulnerability management as an end-to-end practice across build, registry, orchestrator, and host layers.
• Continuous scanning and SBOMs reduce drift and blind spots for images and running workloads.
• Integration into CI/CD enforces policies before artifacts reach production.
• Our services lower risk exposure and simplify compliance with clear remediation playbooks.
• Outcomes include fewer duplicates, better signal-to-noise, and faster approvals for security exceptions.

When artifacts move at deployment speed, security needs to be pipeline‑native, not periodic. Ephemeral workloads and layered images can drift from intended state in hours. One‑time audits miss new CVEs, risky modules, and changed permissions between builds.

We recommend baking continuous scanning into pre‑merge, build, and admission stages so teams catch issues before production. Pipeline‑native gates provide consistent coverage while preserving engineering velocity.

• Reduce drift: track base image and dependency changes to stop new vulnerabilities slipping in.
• Focus effort: prioritize findings by exposure, privileges, and blast radius to avoid alert fatigue.
• Operationalize: embed tests where developers already work (SCM hooks, CI steps, admission webhooks) to shorten time to fix.

Continuous controls also improve governance: earlier discovery, predictable releases, and documented controls that satisfy auditors while cutting operational risk from attackers and stale artifacts.

Hidden flaws in base images and runtimes create the most common attack paths we see in the field.

Popular tags (for example, ubuntu:latest) bring a backlog of packages such as glibc and OpenSSL, each carrying known CVEs. Pinning base versions and refreshing images on a cadence reduces exposure.

Minimal distros cut package surface but add compatibility risk. Alpine’s musl libc can break builds and its patch cadence varies, so choose bases with predictable updates.

Transitive libraries (lodash, urllib3) often introduce weak links. We generate SBOMs and run SCA tools like npm audit, pip-audit, and govulncheck to surface hidden issues.

These scanners help but may miss niche exploits. Correlating SCA output with runtime context improves prioritization.

Defaults such as running as root, broad capabilities, and host-path mounts multiply risk. Enforcing runAsNonRoot and readOnlyRootFilesystem via admission controls blocks many dangerous specs.

Attackers exploit runtime or kernel bugs to escalate privileges. Host-level controls (SELinux or AppArmor) and strict network policy reduce blast radius if code is compromised.

• Action: Pin and refresh bases, generate SBOMs, and run SCA and scanning in CI.
• Action: Block risky deploy specs in admission checks and enforce least privilege at runtime.
• Action: Validate image provenance and enable host-level containment to limit exploit impact.

We build a staged system that enforces checks from commit to production. Shift-left controls run automated scans on Dockerfiles, base images, language packages, and Helm charts in CI. These gates block merges when policy violations appear.

We embed scanners that assess Dockerfiles, image layers, dependencies, and manifests on every commit. SBOMs are produced automatically to track libraries and transitive components.

We enforce rules via OPA Gatekeeper and Kubernetes admission webhooks. Policies block privileged pods, hostPath mounts, and non‑compliant runAs settings before they reach a host.

Falco and eBPF sensors watch for drift, anomalous syscalls, and suspicious process behavior. We also schedule base image refreshes, rebuild pipelines, and avoid the “latest” tag by pinning digests to trusted registries.

We connect SBOM-first scanning with live sensors and admission gates so teams get pragmatic signals and faster fixes. Scanners compare image contents to vulnerability databases and produce SBOMs that track libraries and dependencies.

Static scans surface known vulnerabilities quickly and reduce noise with baseline tuning. They are strong on cataloged CVEs but can miss novel exploit chains, so we pair scans with runtime checks.

Calico scans images before deployment and can block high‑risk images via an Admission Controller. It also monitors workloads and enforces quarantine policies when a pod shows dangerous behavior.

We use Wiz Code at pull request time to scan Dockerfiles, packages, and Helm charts and to recommend fixes. Wiz Cloud maps exposure (RBAC, ingress, privilege) so teams prioritize exploitable findings. Wiz Defend adds lightweight runtime sensors that correlate behavior and trigger containment when needed.

LLM tools parse YAML and code to suggest policy improvements and reduce alert fatigue. We validate AI suggestions with human review before enforcement to keep developer workflows intact.

• Action: Integrate scanners with ticketing and SIEM for traceable remediation.
• Action: Enforce signed artifacts, digest pinning, and private registries in deployment gates.
• Action: Standardize metrics—coverage, findings per image, and fix time—to measure program effectiveness.

Strong operational guardrails turn ad‑hoc hardening into repeatable, auditable practice across clusters. We map benchmark guidance to automated checks so teams adopt secure defaults by design.

We operationalize CIS Benchmarks to create baseline controls for the host, runtime, and orchestrator. This ensures consistent guardrails across clusters and simplifies audits.

We enforce least privilege—user IDs, capabilities, and file permissions—and add SELinux or AppArmor to limit harmful system calls.

RBAC scopes service accounts and enforces credential rotation so services access only required resources. Network policies default‑deny east‑west traffic and open only necessary flows.

We also block hostPID, hostIPC, and hostNetwork and ban unsafe mounts via policy to remove common misconfiguration paths.

We measure effectiveness with clear SLAs: MTTD and MTTR by severity, exploitability context, and time‑boxed exceptions. Exceptions require documented compensating controls and regular reviews.

This case study breaks down CVE‑2025‑23359 and the fast, practical controls we used to detect and contain it.

The flaw in NVIDIA Container Toolkit (≤ 1.16.1) is a TOCTOU symlink exploit that lets a malicious workload race checks under /usr/local/cuda/compat/.

When exploited, the toolkit may mount the host root (/) into a container image. That exposes the host filesystem and can enable code execution, privilege escalation, or data theft.

• Race path: an attacker creates relative symlinks to change mount targets during the toolkit’s check window.
• Impact: host compromise, tampered binaries, and data exfiltration even from unprivileged containers.
• Why it matters: trusted GPU tooling expands the attack surface by running privileged host operations for performance.

• Scan images and nodes for affected toolkit versions and list pods requesting GPU resources.
• Block deployments that request GPU access without compensating controls via admission policies.
• Deploy runtime sensors to flag unusual mount operations and suspicious file activity, isolating pods rapidly.
• Upgrade the toolkit beyond 1.16.1, rebuild images, and redeploy; verify fixes with targeted tests and post‑deployment scanning.
• Harden configs: remove unnecessary hostPath mounts, enforce readOnlyRootFilesystem, and drop unneeded capabilities.
• Restrict GPU workload placement with node taints and stricter policies for hardware‑integrated nodes.
• Run tabletop exercises to rehearse alert triage, node isolation, and forensic steps to shorten time to contain.

We document lessons learned and refine guardrails so future hardware‑dependent stacks receive extra review, signature checks, and configuration‑aware scanning.

Apply a focused set of actions now to shrink attack surface and make enforcement routine across your pipeline.

Choose minimal, maintained bases and generate SBOMs so you know what is inside every image. Avoid “latest” and pin digests to make builds reproducible.

Embed scanners in CI, registry checks, and admission gates so policy blocks non‑compliant artifacts. Use tools that can auto‑block, alert, and create tickets for fixes.

Context matters: correlate findings with exposure, RBAC reach, and granted privileges. Fix issues that give attackers the biggest reach first.

Provide templates, policy libraries, and playbooks so developers and ops adopt runAsNonRoot, readOnlyRootFilesystem, and default‑deny networking.

We operationalize these best practices so teams reduce exploitable findings and keep images and workloads safe. This checklist fits into existing development workflows and scales with growth.

To cut real risk, we unite shift-left scanning, strict admission controls, and continuous runtime visibility into a single feedback loop. This ensures issues are caught before and after deployment.

We prioritize findings by exposure and privileges so teams fix items that threaten critical systems and data first. Operational guardrails (CIS standards, SELinux/AppArmor, RBAC, and network policy) reduce impact from any single image or config flaw.

Disciplined rebuild cadences, digest pinning, and unified platforms (for example, Calico and Wiz) shrink tool sprawl and speed containment. Start by assessing posture, enabling admission policies, deploying sensors, and setting KPIs.

We partner with your teams to embed these practices, uplift skills, and sustain a secure-by-default culture that protects applications and environments over time.