Snyk consulting and hands-on support

Snyk is a developer-first application security platform used by engineering, platform, and security teams to find and remediate vulnerabilities across open source dependencies, container images, Infrastructure as Code, and application code. It helps shift security earlier in the SDLC by surfacing actionable findings where developers work, such as pull requests and CI/CD pipelines.

Snyk typically integrates with Git providers and build systems to scan continuously, flag newly disclosed issues that impact existing applications, and support consistent policy enforcement across multiple repositories and teams. For broader secure delivery practices, it is often paired with automated pipeline checks and standardized remediation workflows (see MeteorOps technologies).

• Software composition analysis (SCA) for vulnerable dependencies and license risk
• Container image scanning in build, registry, and deployment workflows
• IaC scanning for misconfigurations in Terraform and Kubernetes manifests
• Prioritized remediation guidance, including fix pull requests for supported ecosystems

Snyk is a developer-first application security platform used to identify and remediate vulnerabilities across open source dependencies, containers, Infrastructure as Code, and application code. It is often adopted to shift security left by embedding actionable checks into pull requests and CI/CD pipelines.

• Finds known vulnerabilities in direct and transitive open source dependencies with clear impact details and upgrade paths.
• Automates remediation by proposing safe version upgrades and generating pull requests to apply fixes.
• Scans container images for vulnerable OS packages and bundled libraries in the built artifact.
• Analyzes Infrastructure as Code such as Terraform and Kubernetes manifests to catch misconfigurations before deployment.
• Enforces policies in CI/CD with configurable gates for severity thresholds, license compliance, and organizational standards.
• Integrates with Git providers and IDEs to surface issues where developers write and review code.
• Improves signal-to-noise with prioritization based on severity and exploit maturity, and supports reachability context where available.
• Continuously monitors projects and alerts when newly disclosed CVEs affect existing code and artifacts.
• Provides centralized reporting and audit trails to track remediation progress and support compliance evidence.

Snyk is a strong fit for teams that want a single workflow spanning SCA, container security, and IaC scanning with emphasis on fast remediation. Common trade-offs include licensing costs at scale and the need to tune policies to avoid excessive pipeline failures in legacy or high-churn repositories.

Alternatives often evaluated include GitHub Advanced Security, GitLab Secure, Mend (WhiteSource), and Aqua Security. See Snyk for product details and integration options.

Our experience with Snyk helped us turn application security into a repeatable delivery practice—embedding scanning, prioritization, and remediation into day-to-day engineering workflows so teams reduced risk without slowing down releases.

Some of the things we did include:

• Designed scalable Snyk org/project structures, naming conventions, and tagging standards to support multi-team ownership, portfolio reporting, and clean governance.
• Integrated Snyk into GitHub Actions and GitLab CI with pull request checks, inline annotations, and configurable merge gates for critical findings.
• Implemented Snyk Open Source workflows to translate dependency findings into prioritized backlogs, including upgrade guidance, safe pinning strategies, and transitive dependency risk reduction.
• Rolled out container image scanning in build pipelines and registries, enforcing base image standards and blocking releases when OS/package vulnerabilities exceeded agreed thresholds.
• Configured Infrastructure as Code scanning for Terraform and Kubernetes manifests, aligning checks with cluster hardening requirements and Kubernetes deployment patterns.
• Set up Snyk Code (SAST) coverage with repository onboarding automation, tuned rules and severity thresholds, and established triage patterns to reduce noise while keeping signal high.
• Built policy guardrails and exception workflows (scoped ignores with expiry, documented rationale, and review cadence) to stay audit-ready without creating developer friction.
• Automated issue creation and routing into engineering workflows (e.g., Jira/GitHub Issues) with consistent labels, SLAs by severity, and escalation paths for security review.
• Implemented reporting and dashboards for security and leadership teams, tracking scan adoption, MTTR, exception volumes, and risk trends over time.
• Delivered enablement sessions and runbooks for engineers and security teams covering triage, remediation patterns, and how to interpret Snyk findings in real delivery contexts.

This experience helped us accumulate significant knowledge across multiple Snyk use-cases—from PR gating and CI/CD automation to container and IaC scanning—and enables us to deliver high-quality Snyk setups that are maintainable, auditable, and aligned with how teams actually ship software.

Some of the things we can help you do with Snyk include:

• Assess your application, dependency, container, and IaC security posture and deliver a prioritized remediation report with owners, SLAs, and measurable risk reduction.
• Define an adoption roadmap to roll out Snyk across teams and repositories, including governance, KPIs, and a phased onboarding plan.
• Implement and standardize Snyk in CI/CD with policy-based quality gates, consistent build outcomes, and developer-friendly feedback loops.
• Integrate Snyk into pull request workflows to automate detection, provide actionable fix guidance, and reduce mean time to remediate.
• Design security and compliance guardrails (severity thresholds, exceptions, audit trails, and evidence capture) aligned to your SDLC and risk model.
• Harden container delivery by scanning images, standardizing base images, and enforcing secure build and deploy practices for Kubernetes workloads.
• Improve signal-to-noise by tuning rules, setting meaningful baselines, deduplicating findings, and creating leadership-ready reporting.
• Optimize cost and performance by right-sizing scan scope and frequency, streamlining triage workflows, and improving remediation throughput at scale.
• Enable developers and platform teams with hands-on training for triage, remediation patterns, and secure-by-default practices using Snyk workflows.
• Provide ongoing operational support to troubleshoot pipeline issues, maintain policies, and continuously improve your application security program.

Learn more at https://snyk.io/.