Encryptum
  • Introduction
    • What is Encryptum?
    • Why Encryptum?
    • Mission & Vision
  • Core Concepts
    • Decentralized Storage
    • AI Memory
    • Encryption
    • Model Context Protocol (MCP)
  • The Encryptum Architecture
    • System Components
    • Data Lifecycle
    • Context Indexing Layer
    • AI Memory Manager
    • Data Access Gateway
    • Analytics and Telemetry Module
  • Tokenomics
    • Token Overview
    • Incentive Mechanisms
    • Token Distribution
    • Governance and Upgrade Layer (Future ENCT Utility)
  • Storage & Retrieval Process
    • Data Encryption
    • Integration with AI Memory and Context Management
    • Verification and Integrity Checks
    • Data Retrieval and Access Control
    • Metadata Registration via Smart Contracts
    • Uploading to IPFS Network
    • Generating Content Identifiers
    • Data Upload
    • Data Retrieval
  • Validation & Security
    • Validator Roles and Data Integrity
    • Proof of Storage and Access Control
    • Encryption and Privacy Protections
    • Incentive Structures and Network Resilience
  • Ecosystem & Partnerships
    • Ecosystem Overview
    • Strategic Partnerships
  • Real-World Use Case
    • Decentralized Storage
    • AI Agent Memory
    • Combined Intelligence & Storage
    • Frontier Use Cases
    • The Future
  • Roadmap
    • Q2 2025
    • Q3 2025
    • Q4 2025
    • 2026 and Beyond
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  1. The Encryptum Architecture

System Components

The Encryptum architecture consists of several integrated components that collectively power a secure, decentralized, and intelligent data storage system tailored for AI-native environments. Each component is designed to fulfill a specific role, enabling privacy, verifiability, and seamless interaction between users, agents, and the network.

Smart Contracts on Ethereum

Encryptum uses a set of smart contracts deployed on the Ethereum blockchain to coordinate logic, enforce rules, and maintain transparency across the network. These contracts provide a trustless foundation for the protocol’s operations by managing the following:

  • Metadata Registry: Every file stored in Encryptum is associated with immutable metadata recorded on-chain. This includes content identifiers (CIDs), file encryption parameters, timestamps, and ownership proofs.

  • Access Control: Permissions are encoded as cryptographic policies tied to user or agent public keys. Smart contracts check these policies before allowing any data-related operations.

  • Subscription Logic: The ENCT token, native to Encryptum, is used to manage access to premium features through subscription tiers. Users and developers can stake or pay ENCT tokens to unlock enhanced services such as increased storage limits, accelerated verification, or priority node access.

  • Transparency and Audit Trails: Every transaction involving metadata updates, access attempts, or subscription changes is recorded on the blockchain, enabling full auditability without central oversight.

IPFS-Based Storage Network

Encryptum leverages the InterPlanetary File System (IPFS) as its decentralized storage layer. This system distributes encrypted files across a peer-to-peer network, ensuring resilience, high availability, and content integrity.

  • Encrypted Data Distribution: All data is encrypted on the client side before it is stored. Files are split, hashed, and assigned CIDs, then distributed to participating IPFS nodes.

  • Redundancy and Fault Tolerance: Redundant copies are stored across geographically dispersed nodes, ensuring data availability even in the event of individual node failures or disconnections.

  • Permissioned Access via Encrypted Links: Only authorized users or agents with the proper decryption keys can access specific files. Encrypted sharing links further extend collaboration without compromising data privacy.

Verification Layer

To maintain the trustworthiness of the storage network, Encryptum introduces a specialized verification layer responsible for:

  • Data Integrity Proofs: The system regularly checks that stored content matches its original content identifier hash. Any discrepancies result in node flagging or removal.

  • Availability Monitoring: Nodes must respond to periodic proof-of-availability challenges to confirm they are still storing the data they committed to. These proofs are submitted to smart contracts for validation.

  • Protocol Compliance Enforcement: This layer ensures that all participating nodes adhere to protocol standards, offering a secure and compliant storage environment for sensitive or regulated AI workloads.

Agent SDK

Encryptum provides a powerful SDK for developers and AI system integrators. It simplifies the process of embedding decentralized storage into intelligent workflows and applications.

  • Zero-Knowledge Encryption Support: The SDK includes built-in tools for performing local encryption and decryption using modern cryptographic techniques.

  • MCP Integration: Tight coupling with the Model Context Protocol allows developers to embed context-aware references into AI memory systems, enabling intelligent retrieval of encrypted content.

  • APIs for Data Management: Comprehensive APIs allow applications to upload, retrieve, and manage encrypted files and metadata across the network.

  • Cross-Platform Libraries: Available in multiple languages and environments, including JavaScript, Python, and WASM, to support integration across a wide range of AI agents and decentralized applications.

User Interface (UI)

A web-based graphical interface provides non-technical users with full access to Encryptum’s decentralized capabilities without requiring direct interaction with blockchain or cryptographic primitives.

  • File Dashboard: Upload and manage encrypted files, monitor storage health, and view IPFS node availability.

  • Permission Management: Define who can access which files and update access policies using simple controls.

  • Subscription Portal: Users can view and manage their ENCT-based subscriptions, monitor usage limits, and upgrade to premium tiers.

  • Wallet Integration: Native support for Ethereum-compatible wallets allows seamless interaction with on-chain subscriptions and identity.

Identity and Key Management

Encryptum employs a decentralized identity and key management layer to ensure secure access and user sovereignty.

  • DID Integration: Decentralized identifiers are used to represent users and agents, supporting interoperability with other decentralized ecosystems.

  • Key Rotation and Backup: Users can rotate encryption keys while maintaining continuity of access to encrypted content. Encrypted key backups are supported for secure recovery.

  • Multi-Signature and Delegated Access: Advanced access control structures allow teams, organizations, or multi-agent systems to manage shared access securely.

Optional: Encrypted Indexing and Search

For enterprise and data-intensive AI applications, Encryptum supports optional features such as encrypted search and contextual indexing:

  • Metadata Indexing: Select file attributes can be indexed securely to allow AI agents or users to find relevant content without decrypting it.

  • Privacy-Preserving Search: Using techniques like homomorphic encryption or secure multi-party computation, agents can search within encrypted datasets while preserving confidentiality.

These system components form the foundation of Encryptum’s architecture, delivering a privacy-first, censorship-resistant, and agent-native storage solution. With a clear modular design and full support for AI integration, Encryptum enables real-world decentralized data workflows backed by cryptographic security and scalable infrastructure.

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