iExec RLC

Artificial intelligence is transforming financial markets by enabling advanced analytics, risk forecasting, and decision automation. At the same time, real-world assets (RWAs) are being tokenized and brought into decentralized finance (DeFi) ecosystems as digital representations of tangible value such as real estate, bonds, or commodities. Tokenizing real-world assets makes ownership fractional and accessible, and permits these assets to interact directly with smart contracts and DeFi protocols. This unlocks new liquidity and bridges traditional financial value into blockchain systems.

Privacy is not optional infrastructure
Imagine a world where every country is forced to operate in the same public language, publish every internal decision in real time, and negotiate trade deals entirely in the open. No private negotiations. No sealed bids. No confidential strategy. That world would not be more fair; it would be fragile.
Today’s DeFi and RWA systems face this exact paradox. While transparency enables trust, absolute transparency breaks institutions. In the TradFi sector, privacy is a functional prerequisite for market stability. According to data from Nasdaq and Bloomberg, off-exchange trading, which includes dark pools and private internalization, surged to record highs exceeding 51% of all U.S. equity volume by early 2025.

Institutional players rely on these private buffers to prevent the front-running and slippage that occur in public view. Without these protected environments, which currently handle over half of the market’s liquidity, the impact of a single institutional move would trigger systemic volatility. Privacy is not the opposite of openness; it is the protective infrastructure that allows TradFi level liquidity and open systems to scale.

Why privacy matters in DeFi and RWA
DeFi protocols have brought permissionless financial services to users, but they often operate on transparent public blockchains. Transparency allows auditability, but it can also reveal sensitive details such as trading strategies, collateral compositions, or asset-specific financial inputs.
Tokenized RWAs introduce additional off-chain data, including property deeds, audited financial statements, pricing models, and compliance documentation. Handling this data without strong privacy controls risks disclosure of competitive information or sensitive legal data. Without privacy, institutions cannot operate safely, and users cannot trust systems handling confidential financial and identity information.
Privacy must be a core architectural principle, not an afterthought.

Privacy requires execution, and execution requires RLC
To enable privacy-preserving AI, DeFi, and RWA workflows, iExec provides a confidential execution layer powered by the $RLC token.
Every interaction in the iExec Privacy Toolkit ecosystem requires RLC:
iApp executions consume RLC for computationProtected Data access requires RLCConfidential computations use RLC for secure executionStaking mechanisms lock RLC during tasks, reducing circulating supply
Privacy is enforced at execution time, where sensitive logic and data are actually processed, not just stored.

iExec’s toolkit for privacy-first infrastructure
iExec is designed to solve this problem through confidential computing and secure data management. The platform uses trusted execution environments (TEEs), where code runs on encrypted data in isolation. This ensures data remains confidential even during computation, protecting it from the host system, cloud provider, or other third parties.
DataProtector

DataProtector is iExec’s solution for secure data management. It allows developers and data owners to encrypt information, register ownership onchain, and set precise access controls.
Protected data remains confidential at all stages. DataProtector Core encrypts data and grants access to specified applications under controlled terms. DataProtector Sharing enables safe distribution or monetization of data while maintaining governance and usage rules.
This is critical for DeFi and RWA workflows. Financial inputs, pricing models, or compliance documents can be safely shared with smart contracts, oracles, or AI models without exposing raw values. This enables asset composability while preserving confidentiality.
iApp Generator
The iApp Generator allows developers to build and deploy iApps, confidential applications that run inside TEEs to process protected data.
iApps enable AI workflows, DeFi logic, valuation algorithms, and compliance checks to execute securely on private data. This allows use cases such as credit scoring, underwriting, risk modeling, or price prediction for RWA tokens without leaking sensitive information.

Confidential DeFi infrastructure and institutional readiness
iExec’s 2026 strategy focuses on auditable confidentiality required for institutional-scale finance. The RLC token serves as the access layer for the entire infrastructure.
By integrating privacy directly into the execution layer, iExec enables DeFi protocols to support confidential financial logic such as private auctions, sealed-bid mechanisms, institutional asset underwriting, regulated collateral pools, and compliant capital deployment without exposing internal strategies or sensitive data.

AI privacy and monetization
iExec also supports confidential AI workflows. AI models processing sensitive data such as user behavior, institutional portfolios, or sensor feeds can operate inside TEEs.
This protects both the data and the model itself, enabling secure monetization of AI and data assets. Developers can offer intelligence as a service without giving up ownership or exposing proprietary systems.

A foundation for the future
Integrating AI, DeFi, and tokenized RWAs represents one of the most compelling frontiers in decentralized systems. Unlocking this potential requires privacy to be built into every layer of the stack, from data ownership and access control to computation and financial logic execution.
iExec provides the tooling and infrastructure to make this possible, forming the privacy foundation needed for sophisticated, institutional-grade decentralized applications that connect traditional finance with Web3.

$RLC #Web3