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LyraShield AIOpen beta

Comparison

LyraShield AI vs SonarQube

How LyraShield AI compares to SonarQube for AI-built application security. Evidence states, coverage framework, and quality gate differences.

Last reviewed:

Factual comparison. SonarQube by SonarSource provides static analysis, code quality, and security hotspot review. LyraShield AI is a live, open-beta release-assurance platform for AI-built apps — it turns an authorized target, retained evidence, and a fresh retest into one reviewable assurance record. Neither replaces the other.

Core approach

Aspect LyraShield AI SonarQube
Primary focus Release assurance for AI-built apps: one record of what was tested, the evidence behind each result, and what a retest established before shipping Static analysis, code quality, security hotspots, taint analysis
Scanning approach Deterministic scanners and AI-assisted review run as separate coverage layers, never a universal guarantee Deterministic static analysis with rule-based detection and taint analysis
Finding lifecycle Detected → independently verified → retest-confirmed or inconclusive (detection stays separate from proof) Security hotspot review → confirmed or false positive; Quality Gates block merges
Control framework Vibe Security 50 (43 code/URL review + 7 evidence-required) No published control framework; rule-based detection with severity levels
Code quality Not a primary focus Yes — code smells, duplication, complexity, coverage metrics
Fix handling Approval-gated fix proposals — PR execution stays blocked until a server-generated patch is bound to the exact approval AI CodeFix (LLM-driven fix suggestions, not approval-bound)
AI-generated code focus Built for AI-built apps; scans agent rules, MCP configs, AI patterns AI Code Assurance (Enterprise/DC only); AI CodeFix (LLM-driven fix suggestions)
Assurance record Immutable assurance report assembling coverage, findings, evidence states, retest outcomes, and limitations No release assurance record; Quality Gate status

Capability comparison

Capability LyraShield AI SonarQube
Static analysis (SAST) Deterministic + AI-assisted (separate layers) Yes (rule-based + taint)
Code quality analysis No Yes (code smells, duplication)
SCA (dependency scanning) Via engine Yes (CVE, malicious package, license)
Evidence states Yes (4 states: detected, independently verified, retest-confirmed, inconclusive) No
Deterministic retest Yes Quality Gates (re-scan)
Coverage receipts Yes (per-control) Coverage metrics (line/branch)
Assurance reports Yes (immutable snapshots) No
Approval-gated fix proposals Yes (server-generated patch bound to approval) No
MCP server integration Yes (23+ agents) No
IaC scanning No Yes (Terraform, K8s, Docker, etc.)
Languages Language-agnostic (deterministic + agentic coverage) 40+ languages

Deployment and pricing

Aspect LyraShield AI SonarQube
Deployment Hosted + CLI + MCP + GitHub Action SonarQube Cloud (SaaS) or SonarQube Server (self-hosted) + SonarLint IDE
Pricing Open beta; pricing announced as it matures Cloud: Free (50k LOC), Team $34/mo (100k LOC), Enterprise (custom); Server: per-instance/year by LOC
Languages Language-agnostic (deterministic + agentic coverage) 40+ languages

When to use which

Use LyraShield AI when

  • You need release assurance — a reviewable record of what was tested and the evidence behind it — before a ship decision
  • Your app is AI-built and you need AI-specific pattern coverage
  • You need approval-gated fixes where PR execution stays blocked until a server-generated patch is bound to exact approval
  • You need immutable assurance reports for compliance or client handoff
  • You want security checks inside your AI coding agent via MCP

Use SonarQube when

  • You need code quality analysis alongside security (code smells, duplication, complexity)
  • You want enforceable Quality Gates in your CI/CD pipeline
  • You need taint analysis for supported languages
  • You want IaC scanning (Terraform, Kubernetes, Docker)

Start a check.

LyraShield AI is live and open for registration — create an account and run your first authorized check through the release-assurance loop: target, review, evidence, fix, retest, report. Prefer to explore first? Read the evidence methodology or try the free browser-local tools.

Methodology and scope

Every claim on this page is drawn from publicly documented capabilities at the date above. Read how LyraShield tests, records evidence, and reports coverage for the assurance model behind the comparison, and treat anything not stated there as out of scope.

For the long-form version of this comparison, including the evidence model and where each tool fits a release gate, read LyraShield AI vs SonarQube.

Frequently asked questions

Does LyraShield replace SonarQube?
No. SonarQube is the long-standing code quality and security standard with 40+ languages, code smells, duplication, complexity metrics, taint analysis, IaC scanning, and Quality Gates that block merges. LyraShield in open beta does not focus on code quality; it focuses on release assurance with evidence states and immutable reports.
Can I use SonarQube and LyraShield together?
Yes. Run SonarQube Cloud or Server for continuous quality and security hotspots with SonarLint in the IDE, and add LyraShield for the release gate that proves exploitability and records what was fixed and retested. LyraShield emits SARIF, so its results can sit alongside SonarQube's issues without replacing Quality Gates.
When should I choose SonarQube over LyraShield?
Choose SonarQube when your priority is enforceable quality plus security in one platform, especially for self-hosted requirements, IaC checks, and coverage metrics. SonarQube Cloud starts free for 50k lines of code, Team at $34 per month for 100k lines. Use LyraShield when you need approval-gated fixes and an immutable assurance record for AI-built apps.
Does LyraShield have Quality Gates like SonarQube?
Not in SonarQube's sense. SonarQube Quality Gates block merges on metrics like coverage and smells. LyraShield blocks release differently: fixes are approval-gated, PR execution stays blocked until a server-generated patch is bound to exact approval, and the loop requires a fresh deterministic retest before close. LyraShield is in open beta, so gate behavior is still maturing.