Comparison
LyraShield AI vs Pixee
How LyraShield AI compares to Pixee for remediation-first security layers. Approach, evidence states, approval-gated fixes, and coverage framework differences.
Last reviewed:
Factual comparison. Pixee is an agentic AppSec platform that triages and fixes vulnerabilities found by your existing SAST, SCA, and DAST tools — it is not itself a scanner. LyraShield AI is release assurance for AI-built apps with its own agentic pentest, SCA, and secrets scanning, producing immutable evidence reports and gating fixes behind approvals. The two occupy different positions in the pipeline; neither replaces the other.
Core approach
| Aspect | LyraShield AI | Pixee |
|---|---|---|
| Primary focus | Evidence-backed release assurance for AI-built apps | Triage and auto-fix of findings from your existing scanner stack |
| Scanning approach | Agentic engine, coverage framework, evidence states | Not a scanner; ingests SAST/SCA/DAST results via SARIF and native integrations |
| Finding lifecycle | Detected → independently verified → retest-confirmed or inconclusive | Ingested → exploitability triaged → fix PR generated → re-scan confirmed |
| Control framework | Vibe Security 50 (43 code/URL review + 7 evidence-required) | No published control framework; exploitability triage |
| Fix model | Approval-gated; PR execution blocked until a server-generated patch is bound to exact approval | Constrained generation + independent fix-evaluation agent + customer CI/CD gate |
| AI-generated code focus | Built for AI-built apps; scans agent rules, MCP configs, AI patterns | Foresight design-time review of specs before code is written |
Capability comparison
| Capability | LyraShield AI | Pixee |
|---|---|---|
| Static analysis (SAST) | Via engine | No (processes external SAST findings) |
| Custom rules | Not a primary feature | No (fixes from ingested findings) |
| SCA (dependency scanning) | Yes (native) | Triages and fixes external SCA findings (root-level dep resolution) |
| Secret scanning | Yes (engine + GitHub Action) | Fixes exposed secrets found by other tools (no native detection) |
| Agentic pentest | Yes (core) | No |
| Evidence states | Yes (4 states) | No explicit evidence-state model |
| Deterministic retest | Yes | SAST re-scan after fix |
| Coverage receipts | Yes (per-control) | No |
| Assurance reports | Yes (immutable snapshots) | Per-fix audit trail (git history, validation logs, test results) |
| Approval-gated fixes | Yes (server-generated patch bound to approval) | Customer’s own PR review and CI/CD act as the gate |
| Scanner integrations | Engine + GitHub Action + SARIF | 10+ native (CodeQL, Semgrep, Checkmarx, Snyk, SonarQube, Veracode, Fortify, AppScan, Polaris, Contrast) plus any SARIF |
| Deployment | Hosted + CLI + MCP + GitHub Action | GitHub App, GitLab/Azure DevOps/Bitbucket, GitHub Action, SaaS, self-hosted, air-gapped |
Deployment and pricing
| Aspect | LyraShield AI | Pixee |
|---|---|---|
| Deployment | Hosted + CLI + MCP + GitHub Action | GitHub App (Pixeebot), GitHub Action, SaaS, self-hosted, air-gapped; SOC 2 compliant; BYOM supported |
| Pricing | Open beta; pricing announced as it matures | Not public — outcome-based (“pay per vulnerability resolved”), contact-sales only, no free tier |
| Languages | Language-agnostic | Scanner-determined (fixes apply across the languages your scanners cover) |
When to use which
Use LyraShield AI when
- You need release assurance with immutable evidence reports for release decisions
- You do not yet have a detection stack and need agentic pentest, SCA, and secrets scanning in one product
- Your app is AI-built and you want security checks inside your AI coding agent via MCP
- You want fixes gated behind explicit approval before a patch is applied
- You need coverage receipts mapping to a control framework
Use Pixee when
- You already have SAST/SCA/DAST scanners and a large backlog of findings to triage and fix
- You want automated fix PRs with a published validation methodology (constrained generation + independent evaluator + CI gate)
- You need scanner-agnostic triage that works with your existing toolchain (CodeQL, Semgrep, Checkmarx, Snyk, and more)
- You want self-hosted or air-gapped deployment with bring-your-own-model for data sovereignty
- You want proactive design-time review of specs before code is written (Foresight)
See the evidence approach in action.
Read the methodology or try the free browser-local tools at lyrashieldai.com.
Sources: Pixee homepage, Pixee docs, Pixee pricing, Pixee automated code fixes, Pixee AI fix validation, Pixee about, Pixee on GitHub (upload-tool-results-action).
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 Pixee.
Frequently asked questions
- Does LyraShield replace Pixee?
- No, they occupy different positions. Pixee is not a scanner; it ingests findings from 10+ tools like CodeQL, Semgrep, Checkmarx, and Snyk via SARIF and triages exploitability to generate validated fix PRs. LyraShield in open beta is a detector plus assurer: agentic pentest plus SCA and secrets with immutable reports and approval-gated fixes.
- Can I use Pixee and LyraShield together?
- Yes, and it is logical. Run LyraShield or other scanners to produce SARIF, then let Pixee triage backlog and generate constrained fixes validated by an independent evaluator plus your CI gate. Pixee pricing is outcome-based and not public, with self-hosted and air-gapped plus BYOM options. LyraShield is live with open registration in open beta.
- When should I choose Pixee over LyraShield?
- Choose Pixee when you already have a mature scanner stack and the bottleneck is triage and remediation at scale, needing scanner-agnostic fixes, audit trails with git history and validation logs, and self-hosted sovereignty. Its Foresight spec review is valuable before code is written. Choose LyraShield when you lack detection and need release proof.