SingularityNET and Mind Network bring encryption to AI agents

FHE-based onchain randomness can remove the risk of external manipulation for decentralized AI systems.
FHE-based onchain randomness can remove the risk of external manipulation for decentralized AI systems.

SingularityNET has partnered with Mind Network to launch the ASI Hub, which seeks to make artificial intelligence agents more secure and tamper-proof amid growing interest in autonomous AI agents.

The ASI Hub is a decentralized solution to enhance AI security and verifiable randomness, aiming to address critical challenges for decentralized AI development, including secure agent identification and provable onchain randomness, according to an announcement shared with Cointelegraph.

To achieve this, SingularityNet implemented Mind Network’s fully homomorphic encryption (FHE), a technology that allows computations to be performed on encrypted data without requiring decryption. This enables companies to offer services without directly accessing user data.

The implementation of FHE is expected to provide a cryptographically secure framework for AI services while preserving user data confidentiality.

FHE may become a core component of decentralized AI systems, creating a future where “privacy and innovation evolve hand in hand,” according to Ben Goertzel, CEO of the Artificial Superintelligence Alliance and SingularityNET.

“By partnering with Mind Network and rolling out the ASI Hub, we’re taking another important step to explore how FHE can be woven into AI ecosystems to support synthetic intelligence to be free, secure, and mathematically brilliant,” he said.

The ASI Hub seeks to establish a trustless, privacy-focused infrastructure for developing decentralized AI. Provable onchain randomness is a key component for decentralized AI, which eliminates external manipulation risks and guarantees transparency for AI systems.

Decentralization, Privacy, Encryption

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Cryptographically verifiable AI agent identities are “vital”

Adding cryptographically verifiable identities is crucial for AI agent development, according to Christian Pusateri, CEO of Mind Network:

“Cryptographically verifiable AI agent identities are vital in ensuring tamper-proof, on-chain randomness for AI training, governance, and decision-making.”

“This collaboration marks a significant advancement in establishing a privacy-first decentralized AI ecosystem,” he added.

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The growing interest in AI agents was catalyzed by Luna, which executed an autonomous blockchain transaction without human input in early January, as Cointelegraph reported on Jan. 2.

Investment firms are also interested in the potential of AI agents. On Feb. 5, the 0G Foundation launched a $88 million ecosystem fund for creating AI-powered decentralized finance applications and autonomous agents, also known as DeFAI agents.

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