Comparison
LyraShield AI vs Mobb
How LyraShield AI compares to Mobb for remediation-first auto-fix. Evidence states, coverage, reviewed fix proposals and deployment 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 | Mobb |
|---|---|---|
| Primary focus | Evidence-backed release assurance for AI-built apps | Fix SAST findings at scale; “platform for AI code trust” |
| Scanning approach | Agentic engine, coverage framework, evidence states | Ingests external SAST results or self-scans via Opengrep (SAST) |
| Finding lifecycle | Detected → retest-confirmed or inconclusive | Ingested → auto-triaged (Fixable / Irrelevant / Remaining) → fix PR or commit |
| Control framework | Vibe Security 50 (43 code/URL review + 7 evidence-required) | Documents supported issue types per scanner; no control-coverage model |
| Fix model | Recorded fix proposals; Fix PR requests need permission and a server-generated patch | Deterministic rules plus GenAI validation; fixes re-scanned to confirm cleared; PR or direct commit |
| AI-generated code focus | Built for AI-built apps; scans agent rules, agent instruction files and AI patterns | Mobb Vibe Shield IDE/MCP layer; Mobb Tracy AI-code governance dashboards |
Capability comparison
| Capability | LyraShield AI | Mobb |
|---|---|---|
| Static analysis (SAST) | Via engine | Processes external SAST findings; or self-scans via Opengrep |
| Custom rules | Not a primary feature | No (works from scanner output) |
| SCA (dependency scanning) | Yes (native) | Not a core capability |
| Secret scanning | Yes (engine + GitHub Action) | Not a core capability |
| 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 | Re-scan to confirm finding cleared |
| Coverage receipts | Yes (per-control) | No documented equivalent |
| Assurance reports | Yes (checksum-bound snapshots) | ROI dashboard metrics; fix reports expire by default after two weeks |
| Reviewed fix proposals | Fix PR requests require permission and a server-generated patch | Developer PR review is the default gate; Fix Policy and role permissions control when PRs open automatically and who can commit |
| Multi-scanner input | Engine + GitHub Action + SARIF | Yes (Checkmarx, Fortify, Snyk, CodeQL, SonarQube, Semgrep/Opengrep, Polaris) |
| MCP / IDE integration | Yes (documented MCP client workflows) | Yes (Mobb Vibe Shield via MCP across Copilot, Cursor, Claude, JetBrains and more) |
| Fix languages | Not tied to a language list; deterministic checks cover 13 source extensions; 7 dependency ecosystems | Java, JavaScript/TypeScript, C#, Python |
Deployment and pricing
| Aspect | LyraShield AI | Mobb |
|---|---|---|
| Deployment | Hosted + CLI + MCP + GitHub Action | SaaS (multi-tenant), single-tenant, on-prem (AWS); GitHub/GitLab/Azure DevOps/Bitbucket; CLI, API, IDE/MCP |
| Pricing | See pricing for current plan details | Check the vendor’s current pricing or sales quote |
| Languages | 13 source extensions; 7 dependency ecosystems | Fixes in Java, JavaScript/TypeScript, C#, Python (Opengrep scans 30+) |
When to use which
Use LyraShield AI when
- You need release assurance with checksum-bound evidence reports for release decisions
- You want agentic pentest, SCA and secrets scanning in one product rather than fixing external SAST output
- 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 Mobb when
- You already have a SAST scanner deployed and a backlog of findings to fix at scale
- You want multi-scanner ingestion (Checkmarx, Fortify, Snyk, CodeQL, SonarQube, Semgrep/Opengrep) normalized into fix PRs
- You want an anti-hallucination fix methodology (deterministic rules plus GenAI validation, re-scan to confirm cleared)
- You need real-time IDE/MCP security inside AI coding assistants (Mobb Vibe Shield)
- You want published, per-developer pricing with a free tier for public repos
See the evidence approach in action
Read the methodology or try the free browser-local tools at lyrashieldai.com.
Sources: Mobb homepage, Mobb pricing, Mobb docs, Mobb technical brief, Mobb system requirements, Mobb on GitHub (action), Mobb on AWS Marketplace.
Where Mobb is genuinely strong
Mobb is built around a clear thesis: the problem is not finding vulnerabilities, it is fixing them at scale. Its technical brief describes ingesting SAST results from scanners such as Checkmarx, Fortify, Snyk, CodeQL, SonarQube and Opengrep, triaging them and applying predictable fixes into existing workflows and CI/CD pipelines. Its FAQ describes auto-triage into fixable, irrelevant and remaining, plus an anti-hallucination fix methodology.
Its integrations meet developers where they are. Mobb Vibe Shield works over MCP across Copilot, Cursor, Claude, JetBrains and more. The supported fixes page covers Go, Java, JavaScript, Python and C#. Mobb Tracy adds AI-code governance dashboards, and the fix report is the artifact teams review.
Mobb’s partnership model is a practical strength. By integrating with established scanners rather than competing with them, it turns existing scanner investments into remediation outcomes.
Sources
- Mobb technical brief
- Mobb system requirements
- Mobb supported stable fixes
- Mobb Vibe Shield
- Mobb Tracy
- Mobb Fix Policy
- Mobb on GitHub (action)
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 Mobb?
- No. Mobb is an AI-powered remediation platform that ingests SAST results from Checkmarx, Fortify, Snyk, CodeQL, SonarQube and Opengrep, auto-triages into Fixable, Irrelevant, Remaining and generates fixes re-scanned to confirm clearance. LyraShield in open beta is a full assurance loop with its own agentic pentest, SCA and secrets.
- Can I use Mobb and LyraShield together?
- Yes. LyraShield can provide detection with SARIF output for the assurance record, while Mobb fixes existing SAST backlog with deterministic rules plus GenAI validation. Check Mobb’s current plans with the vendor. LyraShield is live open beta with open registration at lyrashieldai.com, with some features on near-term roadmap.
- When should I choose Mobb over LyraShield?
- Choose Mobb when you have a large SAST backlog and want anti-hallucination fix methodology with real-time IDE protection via Mobb Vibe Shield across Copilot, Cursor, Claude and JetBrains through MCP. Its ROI dashboard tracks fixes. Choose LyraShield when you need checksum-bound assurance reports, coverage receipts and permission-gated Fix PR requests for AI-built app releases.
What happens next
Run the free Lite Check on your own app, then start a trial to review the repository behind it.