Comparison
LyraShield AI vs GitHub Advanced Security
How LyraShield AI compares to GitHub Advanced Security (GHAS). Evidence states, coverage framework, MCP integration, and deployment model differences.
Last reviewed:
Factual comparison. GitHub Advanced Security is GitHub's security suite (CodeQL, secret scanning, Dependabot). 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. The LyraShield GitHub Action complements GHAS rather than replacing it — it adds diff-aware pattern checks that run in your own runner with no account required.
Core approach
| Aspect | LyraShield AI | GHAS |
|---|---|---|
| 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 | Code scanning, secret scanning, dependency management within GitHub |
| Scanning approach | Deterministic scanners and AI-assisted review run as separate coverage layers, never a universal guarantee | CodeQL (data-flow analysis), pattern matching for secrets |
| Finding lifecycle | Detected → independently verified → retest-confirmed or inconclusive (detection stays separate from proof) | Open → dismissed or fixed (alert-based workflow) |
| Control framework | Vibe Security 50 (43 code/URL review + 7 evidence-required) | No published control framework; query-based detection |
| Fix handling | Approval-gated fix proposals — PR execution stays blocked until a server-generated patch is bound to the exact approval | Copilot Autofix for CodeQL alerts (suggested, not approval-bound) |
| AI-generated code focus | Built for AI-built apps; scans agent rules, MCP configs, AI patterns | Copilot Autofix for CodeQL alerts; AI-powered detections for some languages |
| Assurance record | Immutable assurance report assembling coverage, findings, evidence states, retest outcomes, and limitations | No release assurance record; alert-based findings |
| Platform lock-in | No — works with any Git repo or public URL | Yes — requires GitHub (cloud or Enterprise Server) |
Capability comparison
| Capability | LyraShield AI | GHAS |
|---|---|---|
| Code scanning (SAST) | Deterministic + AI-assisted (separate layers) | CodeQL |
| Secret scanning | Yes (engine + GitHub Action) | Yes (pattern matching) |
| Dependency scanning (SCA) | Via engine | Dependabot |
| Evidence states | Yes (4 states: detected, independently verified, retest-confirmed, inconclusive) | No |
| Deterministic retest | Yes | Re-scan on PR |
| Coverage receipts | Yes (per-control) | No |
| 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 |
| GitHub Action | Yes (diff-aware, no account required) | Yes (requires GHAS license) |
| Non-GitHub repos | Yes | No |
Deployment and pricing
| Aspect | LyraShield AI | GHAS |
|---|---|---|
| Deployment | Hosted + CLI + MCP + GitHub Action (any CI) | GitHub.com or GitHub Enterprise Server |
| Pricing | Open beta; pricing announced as it matures | Free for public repos; Secret Protection $19/committer/mo; Code Security $30/committer/mo |
| Languages | Language-agnostic (deterministic + agentic coverage) | C/C++, C#, Go, Java, Kotlin, JS, TS, Python, Ruby, Rust, Swift (no PHP, Scala) |
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 (agent rules, MCP configs, AI patterns)
- 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, client handoff, or stakeholder review
- You want security checks inside your AI coding agent via MCP
Use GHAS when
- You’re already on GitHub and want integrated code scanning
- You need Dependabot for automated dependency updates
- You want CodeQL’s data-flow analysis for supported languages
- You need secret scanning with PR enforcement
The LyraShield GitHub Action complements GHAS — it adds diff-aware pattern checks that run in your own runner with no account required, while GHAS provides CodeQL-based analysis.
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 GitHub Advanced Security.
Frequently asked questions
- Does LyraShield replace GitHub Advanced Security?
- No. GHAS is a mature, integrated scanner inside GitHub with CodeQL, secret scanning for 180+ providers, and Dependabot. LyraShield is release assurance for AI-built apps in open beta that separates detection from proof and produces an immutable assurance record. They solve different problems and complement each other.
- Can I use LyraShield and GitHub Advanced Security together?
- Yes. LyraShield ships a GitHub Action with SARIF output and a diff-aware gate that writes to the same code scanning view GHAS uses. Run GHAS for continuous deterministic scanning and Dependabot updates, then run LyraShield for the target, review, evidence, fix, retest, report loop before release. LyraShield is live with open registration.
- When should I choose GitHub Advanced Security over LyraShield?
- Choose GHAS when you are already on GitHub and want proven, low-friction CodeQL SAST and secret scanning inline in pull requests, with governance features like delegated bypass and security campaigns. Its strength is continuous detection at scale for public repos free, private via Code Security $30 and Secret Protection $19 per active committer.
- Is LyraShield free?
- LyraShield is live in open beta with open registration at lyrashieldai.com. Pricing will be announced as the platform matures, with some v1 features like broader compliance mappings on the near-term roadmap. That honesty matters: you can run the agentic pentest plus SCA and secrets today, but check the site for current capabilities.