Snyk Consulting

Snyk is a developer-first security platform used to find and fix vulnerabilities across open source dependencies, container images, infrastructure as code, and application code. It is commonly used by engineering teams and platform teams to shift security earlier in the software delivery lifecycle, with results surfaced where developers work—such as pull requests and CI/CD pipelines.

Snyk typically connects to Git repositories and build systems to scan projects continuously, alert on newly disclosed issues that affect existing releases, and support consistent policy enforcement across many repositories in larger organizations.

• Software Composition Analysis (SCA) to identify vulnerable dependencies and track license risk
• Container image scanning for OS and package vulnerabilities in build and registry workflows
• Infrastructure as Code scanning to detect misconfigurations in Terraform and Kubernetes manifests
• Actionable remediation guidance, including automated fix pull requests for supported ecosystems

Snyk is a developer-focused application security platform that helps teams find and remediate vulnerabilities across open source dependencies, containers, Infrastructure as Code, and application code. It is commonly used to shift security left by embedding actionable checks into pull requests and CI/CD pipelines.

• Software composition analysis (SCA) for direct and transitive dependencies, with vulnerability details and upgrade guidance.
• Automated fix workflows that can propose safe version upgrades and open pull requests to apply recommended remediations.
• Container image scanning that detects vulnerable OS packages and bundled libraries in the built artifact.
• Infrastructure as Code scanning for Terraform, Kubernetes manifests, and related formats to catch misconfigurations before deployment.
• Policy enforcement in CI/CD to gate builds based on severity thresholds, license rules, and organizational standards.
• Developer-native integrations with Git providers and IDEs to surface issues where code is written and reviewed.
• Prioritization signals that reduce noise by focusing on severity, exploitability, and runtime reachability context where available.
• Continuous monitoring that re-evaluates projects as new CVEs are published and alerts on newly introduced risk.
• Centralized reporting and audit trails to track remediation progress and support compliance evidence collection.

Snyk is a strong fit for teams that want a single workflow spanning dependencies, containers, and IaC with emphasis on developer experience and remediation speed. Common trade-offs include licensing cost at scale and the need to tune policies to avoid overly strict pipeline gating in legacy or high-churn repositories.

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

Our experience with Snyk helped us build repeatable security patterns, CI/CD automation, and operational playbooks that we used to help clients reduce application risk without slowing delivery. We implemented Snyk in real engineering workflows across platform and product teams, tuned policies to match risk models, and made results actionable for developers.

Some of the things we did include:

• Rolled out Snyk across multiple repositories and teams, standardizing org/project structure, severity thresholds, and exception handling aligned to internal security governance.
• Integrated Snyk scans into GitHub Actions and GitLab CI with PR annotations, merge gates, and automated notifications to security and engineering owners.
• Implemented dependency management workflows that converted findings into prioritized remediation backlogs, including guidance on safe upgrades, pinning strategies, and reducing transitive risk.
• Enabled container image scanning within build pipelines and registries, including policy enforcement for base images, OS package vulnerabilities, and supply-chain hygiene.
• Configured Infrastructure as Code scanning for Terraform and Kubernetes manifests, aligning checks to Kubernetes deployment patterns and cluster hardening requirements.
• Tuned Snyk policies to reduce noise (ignore rules, reachability and exploit maturity context, and prioritization), helping teams focus on exploitable and high-impact issues.
• Automated developer feedback loops by wiring Snyk results into issue workflows (e.g., Jira/GitHub Issues), with consistent labels, ownership routing, and SLAs by severity.
• Set up dashboards and reporting for trend tracking and audit-ready evidence, supporting security review cycles and compliance requirements.
• Designed secure-by-default templates for new services, including baseline Snyk configuration, reusable pipeline steps, and documented rollout patterns for fast adoption.
• Delivered enablement sessions and runbooks covering triage, remediation workflows, and how to interpret Snyk findings in day-to-day engineering.

This experience helped us accumulate significant knowledge across multiple Snyk use-cases—from CI/CD integration to container and IaC scanning—and enables us to deliver high-quality Snyk setups that are practical, maintainable, 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 image, and IaC security posture and deliver a prioritized remediation report with clear owners and SLAs.
• Design an adoption roadmap for rolling out Snyk across teams and repositories, including governance, KPIs, and a phased onboarding plan.
• Implement and configure Snyk across CI/CD pipelines with policy-based gates, developer-friendly feedback, and consistent build outcomes.
• Integrate Snyk into pull request workflows to automate vulnerability detection, remediation guidance, and fix-PR patterns that reduce cycle time.
• Establish security and compliance guardrails (severity thresholds, exceptions, audit trails, and evidence) 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.
• Reduce noise and improve signal by tuning rules, deduplicating findings, setting meaningful baselines, and standardizing reporting for engineering leadership.
• Optimize cost and performance by right-sizing scan scope and frequency, configuring project policies, and streamlining triage workflows 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 operations support to troubleshoot pipeline issues, maintain policies, and continuously improve remediation throughput over time.