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:
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 | 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 → retest-confirmed or inconclusive | Open → dismissed or fixed (alert-based workflow) |
| Control framework | Vibe Security 50 (43 code/URL review + 7 evidence-required) | Query suites mapped to CWE categories; no published control framework |
| Fix handling | Recorded fix proposals; a Fix PR request needs permission and a server-generated patch | Copilot Autofix suggests a fix the developer reviews and applies; agentic autofix opens a draft PR |
| AI-generated code focus | Built for AI-built apps; scans agent rules, agent instruction files and AI patterns | Copilot Autofix for CodeQL alerts; AI-powered detections for some languages |
| Assurance record | Checksum-bound assurance report assembling coverage, findings, evidence states, retest outcomes and limitations | No release assurance record; alert-based findings |
| Platform lock-in | No — hosted repo scans connect through the LyraShield GitHub App; URL targets, the CLI and the Action run without GitHub | GitHub (cloud or Enterprise Server) or Azure DevOps with the Azure variant |
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 (3 states: detected, retest-confirmed, inconclusive) | No |
| Deterministic retest | Yes | Re-scan on PR |
| Coverage receipts | Yes (per-control) | No |
| Assurance reports | Yes (checksum-bound snapshots) | No |
| Reviewed fix proposals | Fix PR requests require permission and a server-generated patch | Copilot Autofix suggestions (developer applies) |
| MCP server integration | Yes (runs checks and records evidence inside AI coding agents) | Yes (GitHub MCP server exposes code scanning and secret scanning alerts) |
| GitHub Action | Yes (diff-aware, no LyraShield account; the secret-scanning step needs a Gitleaks license on organization repos) | Yes (requires GHAS license) |
| Non-GitHub repos | Via the CLI and GitHub Action on any CI; hosted repo scans connect through the GitHub App | Azure Repos only, through the Azure DevOps variant |
Deployment and pricing
| Aspect | LyraShield AI | GHAS |
|---|---|---|
| Deployment | Hosted + CLI + MCP + GitHub Action (any CI) | GitHub.com or GitHub Enterprise Server |
| Pricing | See pricing for current plan details | Check the vendor’s current pricing or sales quote |
| Languages | 13 source extensions; 7 dependency ecosystems | 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, agent instruction files, AI patterns)
- You need recorded fix proposals and permission-gated Fix PR requests tied to a server-generated patch
- You need checksum-bound 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 LyraShield 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.
Where GitHub Advanced Security is genuinely strong
The genuine strength of GHAS is integration. GitHub’s own documentation says developers do not leave GitHub to see findings and that pull request review shows code scanning alerts inline. The same page says code scanning and secret scanning are available at no cost for public repositories, which makes GHAS the lowest-friction entry point for many open source projects and small teams.
Its detection is broad and well documented. GitHub describes the AI-powered security detections as extending coverage to languages and frameworks that CodeQL does not yet support natively. Copilot Autofix suggests fixes for code scanning alerts directly in the pull request.
Its governance features are unusually deep for a first-party tool. The overview page describes security campaigns for accumulated security debt, a security overview that shows risk distribution across repositories and delegated bypass for push protection and alert dismissal. Dependency review enforces checks on pull requests that change a manifest file.
Sources
- About GitHub Advanced Security
- What is GitHub Advanced Security
- GitHub security features
- AI-powered security detections
- Copilot Autofix for code scanning
- Dependency review
- GitHub Advanced Security pricing
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 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 keeps detected candidates and retest outcomes distinct in a checksum-bound, scoped evidence 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, check current private-repository terms on GitHub’s pricing page.
- Is LyraShield free?
- LyraShield is live in open beta with open registration at lyrashieldai.com. Paid plans start at $29 a month after a 60 agent-minute trial with no card. You can run the agentic pentest plus SCA and secrets today; see /pricing for current plan limits.
What happens next
Run the free Lite Check on your own app, then start a trial to review the repository behind it.