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LyraShield AIOpen beta

Comparison

LyraShield AI vs Mobb

How LyraShield AI compares to Mobb for remediation-first auto-fix. Evidence states, coverage framework, approval-gated fixes, and deployment model differences.

Last reviewed:

Factual comparison. Mobb is an AI-powered remediation platform that takes SAST scanner results as input and generates fix PRs, with a newer IDE layer (Mobb Vibe Shield) for AI-coding security. 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 target different parts of the workflow; neither replaces the other.

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 → independently verified → 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) No published control framework; auto-triage classification
Fix model Approval-gated; PR execution blocked until a server-generated patch is bound to exact approval 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, MCP configs, 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 Yes (4 states) No explicit evidence-state model
Deterministic retest Yes Re-scan to confirm finding cleared
Coverage receipts Yes (per-control) No
Assurance reports Yes (immutable snapshots) ROI dashboard metrics; no immutable evidence artifacts
Approval-gated fixes Yes (server-generated patch bound to approval) Developer PR review is the gate; no policy/approval engine
Multi-scanner input Engine + GitHub Action + SARIF Yes (Checkmarx, Fortify, Snyk, CodeQL, SonarQube, Semgrep/Opengrep, Polaris)
MCP / IDE integration Yes (23+ agents) Yes (Mobb Vibe Shield via MCP across Copilot, Cursor, Claude, JetBrains, and more)
Fix languages Language-agnostic 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 Open beta; pricing announced as it matures Community free (public repos); Development Teams $20/dev/mo; Team $40/dev/mo (5–15 contributors); Enterprise contact-sales
Languages Language-agnostic Fixes in Java, JavaScript/TypeScript, C#, Python (Opengrep scans 30+)

When to use which

Use LyraShield AI when

  • You need release assurance with immutable 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 fixes gated behind explicit approval before a patch is applied
  • 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.

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 Mobb.

Frequently 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. Mobb offers Community free for public repos and paid from $20 per developer per month. 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 immutable assurance reports, coverage receipts, and approval-gated execution for AI-built app releases.