Comparison
LyraShield AI vs Snyk
How LyraShield AI compares to Snyk for AI-built application security. Evidence states, retest workflows, coverage framework, and deployment model differences.
Last reviewed:
Factual comparison. This page compares publicly documented capabilities. Snyk is a mature vulnerability scanning platform. 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. Neither replaces the other.
Core approach
| Aspect | LyraShield AI | Snyk |
|---|---|---|
| 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 | Vulnerability scanning and dependency analysis |
| Scanning approach | Deterministic scanners and AI-assisted review run as separate coverage layers, never a universal guarantee | Multi-engine: DeepCode AI for SAST, vulnerability DB for SCA, image analysis for containers |
| Finding lifecycle | Detected → independently verified → retest-confirmed or inconclusive (detection stays separate from proof) | Open → fixed (re-test confirms scanner can no longer replicate) |
| Control framework | Vibe Security 50 (43 code/URL review + 7 evidence-required) | No published control framework; uses vulnerability databases (CVEs, custom rules) |
| Coverage reporting | Per-control coverage receipts: completed, limited, skipped, not-applicable | Per-finding severity and fix suggestions; no coverage framework |
| Fix handling | Approval-gated fix proposals — PR execution stays blocked until a server-generated patch is bound to the exact approval | AI autofixes (85% accuracy claimed, not approval-bound) |
| AI-generated code focus | Built specifically for AI-built apps; scans agent rules, MCP configs, AI patterns | DeepCode AI engine; LLM library tracking (OpenAI, HuggingFace, Anthropic, Google) |
| Assurance record | Immutable assurance report assembling coverage, findings, evidence states, retest outcomes, and limitations | No release assurance record; vulnerability-based reporting |
Capability comparison
| Capability | LyraShield AI | Snyk |
|---|---|---|
| SAST (static analysis) | Deterministic + AI-assisted (separate layers) | DeepCode AI |
| SCA (dependency scanning) | Via engine | Yes (vulnerability DB) |
| Container scanning | No | Yes (Snyk Container) |
| IaC scanning | No | Yes (Snyk IaC) |
| Secret scanning | Yes (engine + GitHub Action) | Limited |
| Evidence states | Yes (4 states: detected, independently verified, retest-confirmed, inconclusive) | No |
| Deterministic retest | Yes | Re-test (scanner replication) |
| Coverage receipts | Yes (per-control) | No |
| Assurance reports | Yes (immutable snapshots) | No |
| Approval-gated fix proposals | Yes (server-generated patch bound to approval) | No (AI autofixes, 85% accuracy claimed) |
| MCP server integration | Yes (23+ agents) | No |
Deployment and pricing
| Aspect | LyraShield AI | Snyk |
|---|---|---|
| Deployment | Hosted + CLI + MCP + GitHub Action | SaaS, Private Cloud (AWS), CLI, IDE plugins, CI/CD |
| Pricing | Open beta; pricing announced as it matures | Free tier (test limits), Team $25/dev/month, Enterprise (custom) |
| Languages | Language-agnostic (deterministic + agentic coverage) | 19+ languages (Java, JS, Python, Go, C/C++, PHP, Ruby, .NET, and more) |
When to use which
Use LyraShield AI when
- You need release assurance — a reviewable record of what was tested and the evidence behind it — rather than a vulnerability list, before a ship decision
- Your app is AI-built and you need coverage of AI-specific patterns (agent rules, MCP configs, prompt injection)
- 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 with coverage receipts for compliance or client handoff
- You want security checks inside your AI coding agent via MCP
Use Snyk when
- You need comprehensive SCA with a mature vulnerability database
- You need container and IaC scanning
- You want IDE-integrated vulnerability scanning during development
- You need autofix suggestions for known vulnerability patterns
Many teams use both: Snyk for continuous vulnerability scanning and dependency management, and LyraShield AI for release assurance before deployment.
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 Snyk.
Frequently asked questions
- Does LyraShield replace Snyk?
- No. Snyk is a broad developer-first platform covering SAST, SCA, container, IaC, and secrets with IDE plugins and a mature vulnerability database; it is a Leader in Gartner AST. LyraShield in open beta is narrower: agentic pentest plus SCA and secrets focused on immutable release assurance with approval-gated fixes.
- Can I use Snyk and LyraShield together?
- Yes, many teams do. Use Snyk for continuous scanning throughout the SDLC and automated fix PRs, then run LyraShield for the release assurance run that validates exploitability, records evidence states, retests fixes, and produces an immutable report. Both ship SARIF and a GitHub Action, so results consolidate.
- When should I choose Snyk over LyraShield?
- Choose Snyk when you need one platform for continuous scanning across code, dependencies, containers, and infrastructure, with broad language support and risk-based prioritization. Its free tier and paid Team from $25 per developer per month lower friction. Choose LyraShield when you need proof before a release decision for AI-built apps.
- What does LyraShield add over Snyk Code?
- Snyk Code finds vulnerabilities in source and suggests AI autofixes. LyraShield adds a target, review, evidence, fix, retest, report loop: it attempts to exercise findings against the live target, records detected versus independently verified versus retest-confirmed states, requires approval before any fix merges, and produces an immutable assurance snapshot.