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LyraShield AIOpen beta

Comparison

LyraShield AI vs ZeroPath

How LyraShield AI compares to ZeroPath for AI-native SAST and auto-fix. Evidence states, deterministic retest, coverage framework, and deployment model.

Last reviewed:

Factual comparison. ZeroPath by ZeroPath Inc. is an AI-native application security platform that unifies SAST, SCA, secrets, IaC, and DAST-style runtime validation into a single reasoning engine, and generates fix PRs. LyraShield AI is release assurance for AI-built apps — it separates detection from proof, produces immutable evidence reports, and gates fixes behind approvals. Neither replaces the other.

Core approach

Aspect LyraShield AI ZeroPath
Primary focus Evidence-backed release assurance for AI-built apps AI-native SAST plus SCA, secrets, IaC, and DAST validation in one platform
Scanning approach Agentic engine, coverage framework, evidence states LLMs combined with static analysis, taint tracking, and AI validation
Finding lifecycle Detected → independently verified → retest-confirmed or inconclusive Found → AI-validated for exploitability → fix PR generated
Control framework Vibe Security 50 (43 code/URL review + 7 evidence-required) No published control framework; convention-deviation and auth-predicate analysis
Fix model Approval-gated; PR execution blocked until a server-generated patch is bound to exact approval Fix PRs opened for one-click merge with natural-language refinement
AI-generated code focus Built for AI-built apps; scans agent rules, MCP configs, AI patterns Agent installer with stop hooks; scans uncommitted diffs at end of AI agent turns

Capability comparison

Capability LyraShield AI ZeroPath
Static analysis (SAST) Via engine Yes (AI-native flagship; business logic and auth flaws)
Custom rules Not a primary feature Natural-language policy engine
SCA (dependency scanning) Yes Yes (reachability-aware, exploitability fusion)
Secret scanning Yes (engine + GitHub Action) Yes (700+ detectors, rotation guidance PRs)
Agentic pentest Yes (core) Runtime validation of SAST findings against a live app (not open-ended pentest)
Evidence states Yes (4 states) Exploitation-setup metadata per finding
Deterministic retest Yes Auto re-scan verification after fix
Coverage receipts Yes (per-control) No
Assurance reports Yes (immutable snapshots) Compliance and audit reports; GRC sync
Approval-gated fixes Yes (server-generated patch bound to approval) One-click merge fix PRs; no formal approval gate
MCP server integration Yes (23+ agents) Yes (open-source MCP server for Claude, Cursor, Windsurf)
AI-BOM / AI inventory Not a primary feature Yes (17 AI component kinds, CycloneDX AI-BOM)
Open-source CLI CLI is npm-published Yes (zeropath-cli with SARIF output)

Deployment and pricing

Aspect LyraShield AI ZeroPath
Deployment Hosted + CLI + MCP + GitHub Action SaaS, on-prem (Enterprise), CLI, VS Code plugin, GitHub/GitLab/Bitbucket/Azure DevOps, MCP server, Claude Code plugin
Pricing Open beta; pricing announced as it matures Team $1,000/mo + $60/developer; Enterprise custom; usage-based option available
Languages Language-agnostic 15+ for SAST (Python, JS/TS, Java, C#, Go, Ruby, PHP, Rust, Swift, Kotlin, and more)

When to use which

Use LyraShield AI when

  • You need evidence-backed assurance with coverage receipts for release decisions
  • Your app is AI-built and you want security checks inside your AI coding agent via MCP
  • You need immutable assurance reports for compliance or client handoff
  • You want fixes gated behind explicit approval before a patch is applied
  • You want agentic pentest as a core capability, not runtime validation of scanner findings

Use ZeroPath when

  • You want a unified AI-native SAST, SCA, secrets, and IaC platform that replaces multiple scanners
  • You need deep business-logic and authorization-flaw detection with AI validation
  • You want AI-BOM and AI-component inventory for AI-era supply-chain visibility
  • You want fix PRs delivered with natural-language refinement and one-click merge
  • You need broad multi-language SAST (15+) with taint and data-flow analysis

See the evidence approach in action.

Read the methodology or try the free browser-local tools at lyrashieldai.com.

Sources: ZeroPath homepage, ZeroPath SAST, ZeroPath pricing, ZeroPath runtime validation, ZeroPath AI inventory, ZeroPath docs, ZeroPath MCP server (GitHub), BusinessWire.

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 ZeroPath.

Frequently asked questions

Does LyraShield replace ZeroPath?
No. ZeroPath is a unified AI-native SAST plus SCA, secrets, IaC, and DAST-style runtime validation with taint tracking, natural-language policy, CycloneDX AI-BOM across 17 component kinds, and an open-source MCP server and CLI. LyraShield in open beta focuses on agentic pentest as core with SCA, secrets, evidence states, and approval-gated fixes.
Can I use ZeroPath and LyraShield together?
Yes. ZeroPath can serve as your broad AI-native scanner replacing multiple detectors, with Team pricing at $1,000 per month plus $60 per developer and an open-source CLI with SARIF. Add LyraShield for the release assurance loop that requires approval before fixes merge and produces an immutable snapshot. Both support MCP, so they can run inside AI coding agents.
When should I choose ZeroPath over LyraShield?
Choose ZeroPath when you need business-logic and authorization flaw detection, AI-component inventory, one-click fix PRs with natural-language refinement, and broad language coverage with 700+ secret detectors. Its strength is consolidating SAST, SCA, secrets, and runtime validation. Choose LyraShield when release proof and approval gates are the priority.