About
Evidence over promises
LyraShield AI is the evidence-backed launch gate for AI-built software. We believe a security result should say what it knows — and what it does not — rather than turning scanner confidence into a universal verdict.
Last reviewed: . The evidence states and coverage limits this page refers to are defined once on the methodology page.
How LyraShield AI started
After processing 6.8 billion tokens across 2,728 AI coding sessions, our founder noticed something: the most-used tool in his AI workflow wasn't a scaffolding generator or a UI builder — it was a security review plugin, run 232 times. The insight was simple: AI can write code quickly, but most review processes haven't adapted.
Traditional security tools were built for human-written code with human review cadences. AI-generated code changes the equation: code arrives faster, patterns are different and the review bottleneck shifts from "who writes it" to "who verifies it." LyraShield AI was built to close that gap with a methodology that preserves evidence provenance, coverage limits and retest state as separate, inspectable facts.
Our mission
We do not claim that a clean scan proves an app is secure. We do not claim universal coverage. We record what was checked, what a fresh retest confirmed and what remains uncertain — then produce a checksum-bound report that stakeholders can inspect. The Vibe Security 50 framework defines 43 code/URL review controls and 7 that require operational or human evidence outside the scan, so you always know the boundary of what a scan can and cannot establish.
Our approach
- Evidence states
- Every finding carries one of three shipped states: detected, retest-confirmed or inconclusive. The schema also defines a fourth state for a future separate verification step; no finding is in it today. A score never overrides these facts.
- Coverage receipts
- The Vibe Security 50 framework records per-control coverage: completed, limited, skipped or not-applicable. You know exactly what was and was not checked.
- Deterministic retests
- When a fix is applied, a server-owned deterministic retest checks whether the condition is actually absent — not just whether the scanner stopped reporting it.
- Checksum-bound reports
- An assurance report is a private snapshot written once per scan and report type, bound to a recorded sha256 manifest checksum. The checksum is verifiable, so a shared report can be checked against what was recorded at creation.
Founder
Ankit Das
Founder & CEO
AI/ML engineer and 2x EthIndia prize winner with 16+ years of experience across Web3, AI and application security. Ankit built LyraShield AI after processing 6.8 billion tokens across 2,728 AI coding sessions and realizing that the most-used tool in his own workflow wasn't a scaffolding tool or UI generator — it was a security review plugin. LyraShield AI is the product of that insight: AI can write code quickly, but most review processes haven't adapted.
Credentials & experience
2x EthIndia Prize Winner
Arbitrum Foundation & Scroll Network prizes (2023, solo); Coinbase CDP recognition (2024)
Certified Full-Stack Applied AI Engineer
OpenAI, LLMs, Langchain, Next.js, TypeScript, Node.js
Certified Web3 Developer
Solidity, DeFi, GameFi, NFTs — active since 2017
16+ Years Experience
CTO at FusionwaveAI, Head of Blockchain at Zuraverse, Web3 Consultant at Tegus
Building with AI, daily
Founder-reported personal-workflow figures — ChatGPT usage counts plus his public GitHub repositories — behind the decision to build LyraShield AI. They are not LyraShield scan results or customer outcomes.
6.8B
AI tokens processed
across 2,728 coding sessions
232
Security review runs
the most-used plugin in his AI workflow
13h 4m
Longest single session
evidence of building with AI daily
69
Public repositories
Web3, AI and security tooling
What we believe
- 01
A clean scan is not a security guarantee. A score is an interpretation aid derived from evidence. It does not override the underlying findings, coverage limits or retest receipts.
- 02
Coverage is a fact, not a feeling. Which checks completed, were limited, were skipped or did not apply — including retained limitations — must be visible on every report.
- 03
Evidence states are not interchangeable. Detected, retest-confirmed and inconclusive are separate states with distinct meanings. Scanner confidence alone never confirms a fix; only a fresh retest does.
- 04
Fix PRs open only after a human approves. A Fix PR carries a server-generated patch bound to that approval. Connected OAuth clients can run only operations within a browser-confirmed grant, checked again at execution. Nothing auto-merges.
- 05
AI-built apps need AI-aware security. Agent rule injection, MCP misconfiguration and prompt-injected code paths are real risks that traditional SAST tools were not designed to catch.
Contact
For a security vulnerability, follow the coordinated disclosure process so the report reaches the monitored mailbox with the detail we need. For help and product questions, email support@lyrashieldai.com. Registration is open in the beta — Start free trial to start a launch report.
See the evidence approach in action.
Read the methodology or try the free browser-local tools.