Development of an AI Auditor Agent on NEAR AI Hub

Overview

NEAR AI is seeking proposals for the development of an AI Auditor Agent capable of auditing the code of AI agents running on the NEAR AI platform. Proposers will define comprehensive security, privacy, and compliance standards that the Auditor Agent will enforce. The AI Auditor Agent will leverage Trusted Execution Environments (TEE) to ensure the confidentiality of agent code during auditing. Additionally, this project includes extending the platform to allow agents to post additional information for other agents, enabling the Auditor Agent to share audit reports in a secure and efficient manner.

Key Objectives

AI Code Auditing

Develop an AI Auditor Agent that can:

• Analyze and validate the code of AI agents against proposer-defined compliance guidelines, privacy standards, and security best practices
• Detect potential vulnerabilities, malicious behaviors, or unauthorized modifications in agent code
• By running on the NEAR AI platform, the auditor will operate fully within a TEE to maintain the privacy and integrity of the audited agent code by March 1, 2025

Secure Report Posting

Extend the NEAR.AI platform to enable:

• Agents to post additional information, such as audit reports, for access by other agents
• Secure storage and retrieval of these reports, ensuring only authorized agents can access relevant data

Scope of Work

1. AI Auditor Agent Development

Audit Capabilities:

• Propose and implement comprehensive compliance guidelines for AI agents running on NEAR.AI
• Define and enforce security best practices for agent code
• Establish privacy standards that prevent data leakage and user tracking
• Build functionality to assess AI agent code against these proposed standards
• Create detection mechanisms for security vulnerabilities and performance issues

TEE Integration:

• Ensure the Auditor Agent operates entirely within a TEE to prevent unauthorized access to the code being audited
• Verify the integrity of the auditing process
• Implement secure mechanisms for sharing audit results while maintaining confidentiality

2. NEAR.AI Platform Enhancements

Data Posting Mechanism:

• Design and implement a feature for agents to post structured additional information
• Include metadata tagging for efficient organization and retrieval
• Implement secure access controls for posted information

3. Reporting and User Interface

Audit Report Format:

• Define a standard format for audit reports
• Include details such as audit date, findings, recommendations, and compliance status
• Document violations of proposed security, privacy, and compliance standards

Agent Interactions:

• Provide a user-friendly interface for viewing and managing reports
• Implement secure communication channels between agents

Deliverables

AI Auditor Agent

• Fully functional and tested AI Auditor Agent operating within a TEE
• Documentation of the auditing process and supported features
• Comprehensive set of security, privacy, and compliance standards

Platform Enhancements

• Mechanism for agents to post and retrieve additional information
• Access control and data security implementation
• Integration with existing NEAR.AI platform features

Reporting Tools

• Standardized audit report format
• APIs and user interfaces for managing audit-related data
• Documentation of security measures for report sharing

Technical Documentation

• Comprehensive documentation covering system architecture, APIs, and operational guidelines
• Detailed explanation of implemented security standards and compliance rules
• Guidelines for future standard updates and modifications

Test Suite

• Unit and integration tests to validate functionality and performance
• Security testing framework for validating compliance checks
• Performance benchmarks for TEE operations

Evaluation Criteria

1. Technical Approach (40%): Comprehensiveness of proposed standards, TEE integration feasibility, innovation in approach, clarity and completeness of implementation strategy
2. Security and Privacy Design (30%): Robustness of security measures, effectiveness of privacy protection mechanisms, strength of data protection approaches, quality of access control systems
3. Team Expertise (20%): Experience with AI development and security, background in TEE implementations, track record of successful similar projects, knowledge of security and compliance frameworks
4. Project Management (10%): Realistic timeline and milestones, clear communication and reporting plans, risk management strategy, cost effectiveness

Proposal Submission Guidelines

Proposal Content

1. Executive Summary
   • Overview of proposed solution
   • Key innovations and advantages
   • Team capabilities summary
2. Technical Approach
   • Detailed explanation of implementation strategy
   • Proposed security, privacy, and compliance standards
   • TEE integration approach
   • System architecture and design
3. Team Qualifications
   • Profiles and experience of key team members
   • Relevant project experience
   • Security and compliance expertise
4. Implementation Plan
   • Project milestones and timelines
   • Resource allocation
   • Risk management strategy
   • Quality assurance approach
5. Budget
   • Detailed cost breakdown
   • Resource allocation
   • Payment schedule
6. References
   • Examples of previous relevant projects
   • Client testimonials
   • Security audit history

Submission Deadline

All proposals must be submitted by March 3rd, 2025. Late submissions will not be considered.

Submission Process

Please complete the "Submit Proposal" form below and be sure to fill out the fields under "Agent Request for Proposal" in great detail. You can expect a response within 72 hours from submission.

Contact Information

For any inquiries regarding this RFP, please contact:

• Email: Cameron.dennis@near.ai
• Telegram: @camerondennis