- AI Agentic Workflows Are Acting on Our Behalf
- Wallets, Data, and the Risks of Unchecked Access
- Why Current Data Access Security Falls Short?
- Granular Permission Systems Are No Longer Optional
- AI Agent Assist Doesn’t Require Full Autonomy
- How Plurality Network Is Rebuilding Access Control
- Toward Safe and Accountable AI Agent Infrastructure
- Frequently Asked Questions
AI Agentic Workflows & Plurality Network’s Access Control
By Alev • June 17, 2025
AI agentic workflows in Web3 are more than reshaping the ecosystem by automating tasks such as executing smart contracts and managing decentralized identities. These autonomous systems depend on reliable access to data to function, from signing transactions to retrieving on-chain or off-chain information.
However, this level of autonomy raises a key concern: Is it safe to give AI access to everything? These agents often need access to sensitive wallet data and personal information to operate, but securing that access is even more critical.
Traditional data access control falls short in decentralized environments where users maintain sovereignty over their wallets and data. Plurality Network addresses this challenge by developing granular permission frameworks designed for safe and accountable AI interactions.
AI Agentic Workflows Are Acting on Our Behalf
It is futuristic and ironic at the same time that AI agentic flows in Web3 allow autonomous agents to perform multi-step tasks on users’ behalf, from managing DeFi positions to automating governance participation. These examples show just how powerful AI can be: by interacting directly with on-chain data and wallet functions, it can significantly boost efficiency.
However, these workflows depend heavily on appropriate data accessibility controls to prevent unauthorized use of private keys or sensitive identity attributes. Ensuring secure data access control is critical to avoid risks such as asset loss or identity compromise, especially as AI agents grow more and more capable in the near future.
Wallets, Data, and the Risks of Unchecked Access
Even if the agents have access to everything to do it on their own, there is still a dire need to keep a check. Web3 wallets hold users’ assets and decentralized identities, making them a prime target for unauthorized access. Without precise, secure data access control, AI agents with unchecked permissions could execute harmful transactions or leak sensitive information.
The inherent transparency of blockchain means breaches in data accessibility can have lasting consequences. Thus, AI agentic infrastructure must incorporate robust permission systems that govern signature requests and data retrievals to protect user sovereignty. That should be a non-negotiable part of the process.
Why Current Data Access Security Falls Short?
Traditional models rely on static roles and centralized oversight, incompatible with decentralized architectures. Web3 demands dynamic, programmable permissions that reflect users’ control over wallet operations and on-chain data.
Many existing systems do not provide sufficient granularity or adaptability to secure evolving AI agentic workflows, increasing exposure to exploitation or errors. Enhancing data access security with cryptographically enforceable permissions is essential for a trustworthy AI agent to assist in decentralized environments.
Granular Permission Systems Are No Longer Optional
Fine-grained permissioning defines exact scopes for AI agents, specifying allowed smart contract calls, accessible data, and conditions for wallet signatures. This approach balances automation benefits with stringent security.
Granular permissions enable AI agent assist that respects blockchain immutability and user context, offering real-time revocation and transparency to maintain trust and data access security. As AI agentic workflows expand across DeFi and DAO ecosystems, such controls become foundational.
AI Agent Assist Doesn’t Require Full Autonomy
Effective AI agent assistance does not mean giving agents unrestricted control over wallets or data. Instead, narrowly scoped permissions tied to specific tasks preserve security while enabling productivity gains.
This approach integrates user oversight with adaptive permissioning, ensuring AI agentic flows remain accountable and aligned with decentralized identity principles. Users maintain sovereignty while benefiting from automation.
How Plurality Network Is Rebuilding Access Control
Plurality Network employs decentralized identity interoperability protocols and cryptographic proofs to establish adaptive secure data access control mechanisms tailored to AI agents’ needs in Web3. By enforcing minimal, user-approved permissions, the platform limits AI agents’ operational scope on wallets and smart contracts.
This innovation supports auditability and accountability in AI agent-assist scenarios while protecting users’ sensitive data and assets. Integration with blockchain identity standards further enhances trustworthy data accessibility.
Toward Safe and Accountable AI Agent Infrastructure
Developing safe AI agent infrastructure and a protocol requires permission models grounded in decentralization, user sovereignty, and cryptographic guarantees. Plurality Network’s advancements set a new benchmark for accountable AI agentic workflows that preserve wallet security without sacrificing functionality.
Such infrastructure is vital for scaling AI agent assist across decentralized finance, governance, and identity applications, enabling secure, transparent, and user-controlled automation with strong data access security.
Frequently Asked Questions
What are AI agentic workflows in Web3?
AI agentic workflows are automated multi-step tasks that AI agents perform, like managing DeFi or executing smart contracts.
Why is data accessibility important for AI agent assist?
AI agents rely on seamless access to data, both on-chain and sometimes off-chain, to analyze context, make decisions, and perform tasks accurately. Without reliable data accessibility, their ability to interact with decentralized applications, execute smart contracts, or provide meaningful assistance is limited.
What risks come with full access in AI agentic workflows?
Unrestricted access can compromise data access security and result in unauthorized actions or data exposure.
How does Plurality Network enable secure data access control?
Plurality Network uses cryptographic permissions to enforce secure data access control for AI agents in Web3.
Why do traditional systems fail at data access security?
Legacy models lack the adaptability and granularity needed for secure, user-controlled data access in decentralized environments.
Can an AI agent assist with limited access?
Yes, AI agent assist works best with narrowly scoped permissions that ensure data access security without losing efficiency.
