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AI Security Monitoring Toolkit for Decentralized AI Networks

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AI Security Monitoring Toolkit for Decentralized AI Networks

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GFRIM Jun. 20, 2025
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Challenge: Open challenge

Industries

Algorithmic/technicalCybersecuritySafety and ethics

Technologies

Blockchain & infrastructureOther

Tags

Governance & tooling

Description

Deep Funding organizes projects into periodic rounds. Participants can submit proposals for the current round which eventuallly will be voted on by community to be awarded funds. You can also view the projects that have been awarded funds

Detailed Idea

Alignment with DF goals (BGI, Platform growth, community)

  • Platform Growth: Enhances trust and robustness of SingularityNET.

  • Safety and Ethics: Supports safe deployment of autonomous agents.

Problem description

Decentralized networks are vulnerable to malicious AI agents that may impersonate, exploit, or disrupt others. Without continuous monitoring and a shared incident response mechanism, security breaches can go unnoticed and spread quickly.

Proposed Solutions

Design and deploy a modular security toolkit that allows agent publishers and users to monitor behaviors, define safety thresholds, and flag anomalies. The toolkit should support distributed alerting, behavioral pattern recognition, and optional integration with auditing smart contracts. Ideally, this system is open for ecosystem-wide deployment, fostering a transparent and self-regulating agent network.

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