Comparison
LyraShield AI vs Pixee
How LyraShield AI compares to Pixee for remediation-first security. Approach, evidence states, reviewed fix proposals and coverage differences.
Last reviewed:
Where we differ
- A launch verdict in three states: ready, not ready or insufficient evidence.
- Every finding keeps its evidence state, and a fresh retest confirms a fix.
- Fix proposals wait for a human approval before any pull request opens.
Swipe comparison tables horizontally to read every column.
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 → 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 found; exploitability triage |
| Fix model | Recorded fix proposals; Fix PR requests need permission and a server-generated patch | Constrained generation + independent fix-evaluation agent + customer CI/CD gate |
| AI-generated code focus | Built for AI-built apps; scans agent rules, agent instruction files and 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 | Three shipped states; VERIFIED is future-only and not produced today |
No documented evidence-state model |
| Deterministic retest | Yes | SAST re-scan after fix |
| Coverage receipts | Yes (per-control) | No documented equivalent |
| Assurance reports | Yes (checksum-bound snapshots) | Per-fix audit trail (git history, validation logs, test results) |
| Reviewed fix proposals | Fix PR requests require permission and a server-generated patch | 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, GitHub Action, SaaS, self-hosted, air-gapped; SOC 2 compliant; BYOM supported |
| Pricing | See pricing for current plan details | Check the vendor’s current pricing or sales quote |
| Languages | 13 source extensions; 7 dependency ecosystems | Scanner-determined (fixes apply across the languages your scanners cover) |
When to use which
Use LyraShield AI when
- You need release assurance with checksum-bound 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 recorded fix proposals before your team applies a patch
- 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).
Where Pixee is genuinely strong
Pixee takes a different starting point than most security tools. It does not run its own scanner. Its platform page describes sitting on top of the scanners you already use, triaging their output, filtering false positives through exploitability analysis and writing context-aware fixes that match your code conventions. Pixee calls this agentic security engineering.
The reactive side, VulnOps, runs the scanner backlog with 12 native integrations across tools such as SonarQube and Snyk, as described in its docs. The proactive side, Foresight, reads design documents before code is written, captures the security promises a design makes and flags on the pull request where shipped code drifted from what was intended.
Pixee’s decision not to run its own scanner is a deliberate architectural choice, and it is the reason the tool pairs well with a scanner rather than replacing one. The Pixee about page notes it was co-founded by the co-founder and Chief Scientist of Contrast Security, and the scanner triage page describes its use in large regulated enterprises.
Sources
Methodology and scope
This comparison describes published capabilities, not an independent test of either product. Client workflow availability and commercial terms can change. Read how LyraShield tests, records evidence and reports coverage for its assurance model and verify vendor details before a purchasing decision.
LyraShield pricing
Trial: 60 one-time agent-minutes; Starter $29/month; Pro $99/month; Agency $499/month; Enterprise from $1,500/month.
View pricing and plan limitsFrequently 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 checksum-bound reports and reviewed fix proposals.
- 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 need authorized checks, scoped evidence and approval-gated fix proposals for a release review.
What happens next
Run the free Lite Check on your own app, then start a trial to review the repository behind it.