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Kalkine Media ASX Share Market News & Research

AGII Develops Predictive Alert Systems to Strengthen On-Chain Safety Protocols

June 20, 2025 11:49 AM IST | By EIN Presswire
AGII Develops Predictive Alert Systems to Strengthen On-Chain Safety Protocols
Image source: EIN Presswire

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Real-time detection engines from AGII enhance blockchain defense through automated alerts and AI-driven threat anticipation. SINGAPORE , SINGAPORE , SINGAPORE, June 20, 2025 /EINPresswire.com/ -- AGII has unveiled its latest innovation in decentralized infrastructure protection: predictive alert systems that fuse artificial intelligence with on-chain safety logic. Designed to detect anomalies in real time and proactively respond to threats, these systems represent a major leap in securing smart contract environments and strengthening blockchain-wide resilience.

Built on AGII’s dynamic AI framework, the predictive alert systems monitor transactional behavior and contract interactions to identify risks before they escalate. Leveraging machine learning models tailored to evolving blockchain data, AGII provides early detection of exploits, abnormal gas usage, and logic vulnerabilities. This proactive infrastructure gives developers and operators time to act, ensuring operational integrity across decentralized applications.

By enhancing safety with automated intelligence, AGII is enabling next-gen security layers for #Web3. From smart contract creators to protocol developers, stakeholders benefit from adaptive defenses that evolve in sync with the ecosystem’s complexity. With these predictive alert tools, AGII continues to push the frontier of decentralized automation and reliability.

About AGII
AGII is an AI-driven Web3 automation platform that empowers developers with intelligent tools for smart contract execution, on-chain infrastructure, and decentralized workflows. Through scalable logic engines and self-learning models, AGII simplifies and secures blockchain operations at every layer.

Dorothy Marley
KaJ Labs
+ +1 707-622-6168
email us here

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