LyraShield AI vs ZeroPath

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Core approach

Capability comparison

Deployment and pricing

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 checksum-bound assurance reports for compliance or client handoff
• You want recorded fix proposals before your team applies a patch
• 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.

Where ZeroPath is genuinely strong

ZeroPath brings an LLM-powered approach that goes beyond pattern matching. Its SAST product page describes detecting conventional technical vulnerabilities and complex issues such as business logic flaws and authorization problems that traditional SAST scanners miss. Its repo context documentation describes analysing endpoint behaviour in context, understanding whether an endpoint is internal, whether input comes from admin-authored config and whether a CLI is operator-run, to reduce false positives.

A standout capability is automated application threat modeling. Its threat modeling post describes generating a threat model for every app it identifies in your repositories, refreshing it on every commit and feeding it into SAST triage, SCA reachability and prioritization. The threat model is editable in a dedicated tab, is monorepo aware and evaluates every change at the agent, pull request and full repository level.

Its AI inventory page describes a CycloneDX AI-BOM across component kinds, and its MCP server repository is open source. The BusinessWire announcement covers the company background.

Sources

• ZeroPath home page
• ZeroPath SAST
• ZeroPath runtime validation
• ZeroPath AI inventory
• ZeroPath automated threat modeling
• ZeroPath repo context
• ZeroPath MCP server (GitHub)
• ZeroPath pricing
• BusinessWire announcement

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.