6.3 Security & Data Privacy
Security and privacy are foundational pillars of the Layrz.ai infrastructure. From contract generation to deployment and API usage, the entire system is engineered with multiple layers of data isolation, encryption, and real-time threat detection to protect users, projects, and assets. Given the critical nature of blockchain transactions and AI-assisted development, we treat every user session as a potential vector for high-impact vulnerabilities — and have built accordingly.
AI Model & Output Security
All outputs from the 21B AI model are passed through a multi-stage security filter pipeline, consisting of:
Syntax & type-checking using internal AST validators,
Static analysis with Slither (by Trail of Bits),
Heuristic-based pattern detection using custom regex and tree-walking algorithms,
Optional Mythril integration for symbolic analysis of higher-value contracts.
The AI itself is instruction-tuned to reject dangerous prompts (e.g., rug logic, honeypot triggers, infinite minting) and has fallback sanitization for known anti-patterns like unrestricted ownership transfer or disabled sell functionality.
Data Privacy & Encryption
User prompts, IDE history, and deployment logs are encrypted at rest using AES-256, and all database communication is tunneled via TLS 1.3. In-memory data (such as prompt chains, interim code snapshots, or wallet interactions) is sandboxed via per-session Redis keys that expire within 30 minutes or upon deployment finalization.
Authentication uses JWT tokens with HMAC256 signatures, and all Telegram-connected users are sandboxed via unique bot tokens. Cross-user data leakage is structurally impossible due to enforced permission guards and per-user key isolation in the backend memory bus.
We also implement chain-specific nonce tracking to prevent replay attacks, and inject randomized salts into compiled contract bytecode when needed to avoid code re-identification in audit-sniping or clone-sniping bots.
Infrastructure & Deployment Security
All cloud functions and GPU inference pods are sandboxed in read-only containers with least-privilege IAM roles. Inbound traffic is rate-limited via Cloud Armor and proxied through Cloudflare WAF, where bot behavior, user-agent anomalies, and RPC load are continuously monitored.
On the deployment layer, transactions are signed locally via wallet-core integration and not passed through shared signers. When Telegram bots deploy contracts, they do so using session-scoped private keys tied to ephemeral wallets unless the user explicitly sets a hot or cold wallet key.
A security-first CI/CD process ensures all contract templates, API endpoints, and bot updates pass through automated tests and dependency audits before being pushed live.
# Memory-isolated deployment (simplified)
def deploy_safe(code, wallet_key):
if is_contract_safe(code):
with isolate_session(wallet_key) as wallet:
tx = wallet.deploy(code)
return tx.hash
return "Deployment blocked: Audit failed."
Security Partnerships & Audits
Layrz AI works with external auditors and security partners such as Hacken, BlockSec, and Code4rena to validate the core IDE outputs and underlying infrastructure. We plan to release our audit reports, threat model, and IDE AI safety tuning dataset under open disclosure to further reinforce transparency.
In Q3 2025, we’ll also introduce on-chain verification hashes and signed metadata proofs for every deployed contract, allowing the public to confirm if a contract originated from Layrz’s AI system, increasing verifiability and trust.
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