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SCA (Smart Contract Auditor) – Blockchain Security Platform

Case Study

SCA – AI-Powered Smart Contract and dApp Security Auditor

A blockchain security platform that uses generative AI and RAG pipelines to audit smart contracts and dApps, detect vulnerabilities and risks, and deliver comprehensive, automated PDF security reports.

Performace

Optimized microservices and AI inference pipelines enable fast analysis of smart contracts and large dApp codebases.

Security

Isolated auditing services, controlled API access, and read-only repository analysis ensure secure and non-intrusive assessments.

Percision

LLM-based code understanding combined with RAG-driven context retrieval improves accuracy in vulnerability and risk detection.

Scalability

Modular services and external API integrations allow scaling across multiple blockchains, repositories, and audit volumes.

Multi-phase smart contract auditing

Analyzes ERC-20 tokens, full dApps, and generates consolidated security reports.

AI-powered vulnerability detection

Uses generative AI to uncover exploits, backdoors, and centralization risks.

Automated security reporting

Produces detailed PDF reports with clear findings and remediation recommendations.

A blockchain security system built on a microservices architecture combining generative AI, RAG pipelines, and blockchain data sources.

01

AI-driven analysis services

Python FastAPI services use LLMs to analyze smart contract logic and security patterns.

02

RAG-based code intelligence

Retrieves and contextualizes GitHub repositories to assess complete dApp architectures.

03

Blockchain data integration

Pulls tokenomics and market data via external blockchain APIs for holistic audits.

How It Works

From idea to impact.

Step 01

Setup

The system initializes audit parameters, target contracts, repositories, and external data sources.

Step 02

Connect

Smart contract code, GitHub repositories, and blockchain APIs are ingested into the analysis pipelines.

Step 03

Execute

AI models perform phased audits, detecting vulnerabilities, risks, and architectural weaknesses.

Step 04

Analyze

Findings are consolidated into structured PDF reports with actionable security recommendations.

Interested?

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