Heeler vs SonarQube Security — Head-to-Head Comparison
Heeler vs SonarQube Security
Heeler is Agentic Development Security built for the AI SDLC — one context engine spanning code, dependencies, runtime, and cloud; SonarQube is a code-quality suite with a security layer. This compares security capabilities only — code quality is SonarQube's ground, not Heeler's. Here's where Heeler advances across the security stack, where the two are equivalent, and what the AI SDLC needs beyond code scanning.
EXECUTIVE SUMMARY
Built for the AI SDLC — one model, code to cloud.
Heeler runs SAST, SCA, secrets, agent-skill security, CI/CD analysis, supply-chain controls, PR guardrails, and runtime-aware risk on one context engine that reasons across code, dependencies, runtime, and cloud as one model, and remediates deterministically to a CI-green, merge-ready PR. SonarQube's ground is code quality with a security layer on top — a SAST engine plus SCA, secrets, and license checks — whose deeper dependency-security capabilities need the paid Advanced Security add-on, and which models no runtime, deployment, or business context.
THE FUNDAMENTAL DIFFERENCE
Heeler reasons across code, dependencies, runtime, and cloud as one model. SonarQube measures code quality.
Heeler knows where each finding runs, whether it's reachable and internet-exposed, who owns it, and how to ship a fix that's proven green in your CI. SonarQube grades the code in the repository — quality gates, maintainability, and a security layer alongside — with no model of runtime, deployment, or business context. That gap is what shows up after a finding lands.
SonarQube
Code-quality first, security alongside
- → SAST built into the code-quality engine; Advanced SAST into open-source dependencies needs the Advanced Security add-on
- → SCA with CVE, EPSS, and KEV data — but transitive analysis needs committed lockfiles, or SonarQube must run your build tools
- → Advisory-based malicious-package detection; no behavioral analysis for novel or uncatalogued packages
- → Code-centric prioritization — no runtime, deployment, or business-context model
HEELER
Context-engine native, AI SDLC-built
- → Multi-SCM (GitHub, GitLab, Bitbucket, Azure DevOps) + multi-cloud (AWS, GCP, Azure, Kubernetes, and Vercel)
- → SAST, SCA, secrets, agent skills, CI/CD, supply chain, CLI, PR guardrails, workflows — one engine
- → Context across code, cloud, business, ownership, threat, and agent dimensions
- → Prevent → Fix → Operate operating on one shared model
VERDICT FRAMEWORK
Side-by-side, with a verdict per row.
Five states. Heeler-leaning where Heeler advances; explicit when SonarQube leads; honest about parity.
| Section | ● Heeler advantage | ◐ Heeler edge | ✓ Parity | ◑ SonarQube edge | ○ SonarQube advantage |
|---|---|---|---|---|---|
| Code security scanning | 0 | 1 | 1 | 0 | 0 |
| Remediation & the AI SDLC | 1 | 3 | 0 | 0 | 1 |
| Context, prioritization & governance | 3 | 1 | 1 | 0 | 0 |
| Total | 4 | 5 | 2 | 0 | 1 |
| Capability | Heeler | SonarQube | Verdict |
|---|---|---|---|
| Code security scanning | |||
| SAST | Native SAST on a proprietary AST + Symbol Property Graph with cross-function, cross-file taint analysis; findings correlated to runtime reachability and exposure. | A SAST engine with cross-file taint analysis, integrated with its code-quality gates. | ✓Parity |
| SCA / dependency scanning | Build-emulation dependency resolution with no lockfile required; full graph across direct, transitive, first-party, and bundled dependencies; reachability-aware. | SCA with CVE, EPSS, and KEV data; the deepest dependency capabilities need the paid Advanced Security add-on, and transitive analysis needs committed lockfiles or running your build. | ◐Heeler edge |
| Remediation & the AI SDLC | |||
| Secrets detection | Real-time, language-aware detection with active validation of whether a secret is live, across code and full git history; prevention at AI-code-generation time. | Detects hardcoded credentials and common secret patterns across code and history as part of its analysis. | ◐Heeler edge |
| Malicious-package detection | Behavioral SAST on package code catches novel, uncatalogued malware — C2 calls, postinstall hooks, anti-forensics — before an advisory exists; minimum-age and compromised-dependency guardrails. | Advisory-based malicious-package detection; flags packages once they appear in threat feeds. | ◐Heeler edge |
| IaC misconfiguration scanning | Native IaC misconfiguration scanning is on the roadmap; not in the product today. | Scans Terraform, CloudFormation, Kubernetes, Docker and more for misconfigurations in the core product today. | ○SonarQube advantage |
| Automated remediation | Deterministic agentic remediation for both SCA and SAST: Heeler picks the change, applies it, validates in your CI until green, and opens a merge-ready PR. | AI CodeFix suggests a per-issue fix for a developer to review and apply; no automated dependency-upgrade PRs and no CI validation loop. | ●Heeler advantage |
| AI SDLC & agent-skill security | Secures the agent layer itself — inventories and risk-scores agent skills, MCP configs, and CLAUDE.md / AGENTS.md; security skills auto-load into coding agents at generation time. | Analyzes AI-generated code with its SAST engine and gives IDE-level feedback; doesn't secure the agent or skill layer itself. | ◐Heeler edge |
| Context, prioritization & governance | |||
| Risk prioritization | Ranks by reachability, runtime exposure, and business criticality, recomputed continuously and sensor-lessly across code, cloud, and threat context. | Prioritizes by CVSS + KEV + EPSS — exploitability signals, but code-centric with no runtime, deployment, or business-context model. | ●Heeler advantage |
| Cloud & runtime context | Fingerprints running services to the exact commit, detects internet-facing exposure, and maps deployments and service-to-service connections across AWS, GCP, Azure, Kubernetes, and Vercel — sensor-less. | Not offered. SonarQube is code-centric with no runtime, deployment, or internet-exposure model — no cloud fingerprinting or service mapping. | ● Heeler advantage |
| Endpoint & API discovery | Enumerates application API endpoints and schemas from source, and models per-endpoint authentication — method, protocol, provider, protected-or-not, auth chain, and token issuer. | Not offered. SonarQube builds no API or endpoint inventory and models no per-endpoint authentication. | ● Heeler advantage |
| SBOM | Continuous SBOM across the full resolved dependency graph, exportable and queryable environment-wide. | SBOM export available via the paid Advanced Security add-on. | ◐Heeler edge |
| License compliance | License policy enforced from one model across every stage; flags disallowed licenses at the PR and in workflows. | License and dependency policy checks available via the paid Advanced Security add-on. | ✓Parity |
WHERE HEELER ADVANCES
Where Heeler goes beyond a code-quality suite.
Security capabilities SonarQube either can't match or delivers on a different model.
01
Deterministic agentic remediation
Heeler makes the actual change — the dependency upgrade plus required code edits (SCA), or a deterministic before/after transform (SAST) — runs it through your CI until green, and opens a merge-ready PR. SonarQube's AI CodeFix suggests a per-issue fix for a developer to apply, with no CI validation loop.
02
Runtime-aware prioritization
Heeler ranks by reachability, runtime exposure, and business criticality, recomputed continuously and sensor-lessly. SonarQube prioritizes by CVSS + KEV + EPSS — exploitability scoring, but code-centric with no runtime, deployment, or business-context model.
03
Behavioral malicious-package detection
Native behavioral SAST catches novel, uncatalogued malware by technique — C2 calls, postinstall hooks, anti-forensics — before an advisory exists. SonarQube's malicious-package detection is advisory-based only.
04
No-lockfile dependency resolution
Build-emulation produces a full graph across direct, transitive, first-party, and bundled dependencies with no lockfile required. SonarQube needs committed lockfiles for transitive analysis, or must run your build tools in a secure environment.
05
Secrets with active validation
Real-time, language-aware detection with active validation of whether a secret is live — across code and git history — plus prevention at AI-code-generation time. SonarQube covers core hardcoded-credential detection.
06
Agent skills security
Inventory and risk-score every agent skill, MCP config, and CLAUDE.md / AGENTS.md file. SonarQube scans AI-generated code with its SAST engine but doesn't secure the agent or skill layer itself.