Heeler vs Snyk
Heeler vs Snyk
Agentic Development Security, built for the AI SDLC and modeled around the service — versus a scanner suite across code and open-source dependencies. This is the closest comparison in the set; Heeler separates on one context engine spanning code to cloud and a fix that proves itself green in your CI.
Executive Summary
Built for the AI SDLC, not just breadth of scanning.
Heeler runs one context engine across code, dependencies, runtime, and cloud — assembling six dimensions of context from a few read-only connections, then ranking every SAST and SCA finding by what's reachable, deployed, and internet-facing and shipping remediation that proves itself green in your CI.
Snyk scans across code (semantic AI SAST) and open-source dependencies (SCA + reachability), with Agent Fix autofix and an agent-security line on its own vulnerability database.
Closest comparison in the set: Snyk leads on vulnerability intelligence; Heeler separates on native runtime context — per-endpoint exposure that also covers your SAST findings, no Kubernetes connector — and remediation that repairs its own CI until green.
The Fundamental Difference
One context engine code-to-cloud with a proven fix, not just breadth of scanning.
Heeler runs one context engine across code, dependencies, runtime, and cloud — ranking every finding by real reachability and exposure and proving each fix green in your CI. Snyk scans across code and open-source dependencies on its own vulnerability database, with an agent-security line — but its runtime context is integration-derived and asset-level, and premium controls gate at Ignite/Enterprise.
SNYK
Code and open-source scanning suite
Scan, prioritize, and fix across code and open-source dependencies.
- → Snyk Code (semantic AI SAST, interfile taint) and Open Source (SCA + reachability)
- → Snyk Agent Fix (agentic, self-verifying autofix) plus Fix/Upgrade/Backlog PRs; its own vulnerability database and research team
- → Evo agent security: agent supply-chain vetting, behavior governance (preview), secure-at-inception generation, AI-SPM
- → Runtime context is integration-derived (Kubernetes Connector / cloud), asset-level; risk-based prioritization, custom rules, policies, and dashboards gate at Ignite / Enterprise
HEELER
Context-engine native, service-modeled
Six dimensions of context, one model, a validated fix at the end.
- → One context engine assembles six dimensions — code, cloud/runtime, business, ownership, threat, agent — from a few read-only connections, sensor-less
- → A real runtime layer: API endpoints + schemas enumerated from source, per-endpoint authentication modeled, internet exposure computed from deployment topology — feeding prioritization across SAST and SCA
- → Embeds in coding agents via MCP + skills to steer generation, and vets the agent instruction/skill files they load
- → Remediation makes the change and proves it: edits first-party code across files, builds it in a sandbox, repairs its CI until green, opens a merge-ready PR (human review, no auto-merge)
Verdict Framework
Side-by-side, with a verdict per row.
Five states. Heeler-leaning where Heeler advances; explicit when Snyk leads; honest about parity.
Scorecard — 20 capabilities, scoped to code security
| Section | ● Heeler advantage | ◐ Heeler edge | ✓ Parity | ◑ Snyk edge | ○ Snyk advantage |
|---|---|---|---|---|---|
| Prevent | 0 | 2 | 2 | 0 | 0 |
| Fix | 1 | 2 | 2 | 0 | 0 |
| Operate | 3 | 6 | 1 | 1 | 0 |
| Total | 4 | 10 | 5 | 1 | 0 |
WHERE HEELER ADVANCES
Where native runtime context and validated remediation separate the two.
Native endpoint & runtime context, not asset-level inference Heeler enumerates application APIs + schemas from source (including MCP tools and Spring Boot actuator routes), models per-endpoint authentication, and computes internet-accessibility path-by-path from deployment topology — sensor-less. Snyk's Deployed/Public-facing signals are derived from the Kubernetes Connector and cloud integrations, are image/asset-level (port + K8s-ingress granularity), and explicitly ignore firewalls, network policies, and security groups. No endpoint enumeration, no per-endpoint auth.
Remediation that builds and proves itself in CI Heeler edits first-party code across multiple files, builds it in an isolated sandbox before the PR exists, then repairs its own CI failures with up to five follow-up commits — SCA and SAST — opening a merge-ready PR for review. Snyk Agent Fix is an agentic autofix, but single-file, delivered inline in the IDE, and verified by re-scanning with the SAST engine — it doesn't build, test, or repair a failing pipeline.
Runtime-aware prioritization that includes your first-party code Heeler ranks SAST and SCA findings on the same runtime-aware model — reachable, deployed, internet-facing, weighted by tier — sensor-less. Snyk's newer Risk Score is Early Access and covers Open Source but not Snyk Code, and its runtime signals require standing up the Kubernetes Connector; SAST prioritization stays on code + reachability without live exposure.
SCA that needs no build — and a global, runtime SBOM Heeler resolves direct and transitive dependencies from your manifests and lockfiles with build emulation — using a committed lockfile when present, without requiring one, and no project build — across 14 ecosystems including GitHub Actions, and emits CycloneDX SBOMs at five scopes: a global SBOM across your whole environment, application, repository (multi-module merged and deduped), and runtime SBOMs per running service and deployment. Snyk's Open Source scan must build the project (with limited exceptions), doesn't treat GitHub Actions as a dependency ecosystem, and produces per-project SBOMs only — no global or runtime SBOM.
One capability set, not a four-tier climb Heeler's runtime context, runtime-aware prioritization, plain-English guardrails, and validated CI-repaired remediation come as one product. In Snyk, risk-based prioritization, custom rules, policy management, reporting dashboards, and license compliance all require the Ignite tier ($1,260/yr per developer) or Enterprise — not Free or Team — and Enterprise adds zero-day risk prevention, unified AppSec control, and full SDLC automation on top.
Secrets and CI/CD supply chain the platform fully owns Heeler runs first-class secrets detection — git-history, live validation, scheduled re-validation — and models the CI/CD supply chain as its own ecosystem (GitHub Actions graph, token-permission and dangerous-trigger checks, minimum-age gating). Snyk's real secrets scanning is a third-party partnership, and it has no CI/CD action-graph posture.