Delysium — agentic threat model

Not certain from the listing — The specific foundation models powering the AI Virtual Beings are not disclosed. Standard risks like adversarial prompt injection and model reprogramming could lead to unauthorized transaction generation or malicious smart contract interactions.

Not certain from the listing — The data operations, vector stores, and training pipelines for these virtual beings are unspecified. However, poisoning of the knowledge base or ledger state data could trick agents into executing fraudulent Web3 transactions.

The agent framework orchestrates natural language Web3 interactions and crypto workflows. Insecure tool integration is a critical threat here, as malicious inputs could exploit the agent's tool-calling capabilities to execute unauthorized token transfers or interact with malicious smart contracts.

The deployment relies on a dual-layer blockchain architecture spanning Ethereum and BNB Chain. Infrastructure threats include smart contract vulnerabilities, cross-chain bridge exploits, and compromised node infrastructure hosting the agent communication network.

Not certain from the listing — There is no mention of real-time monitoring, transaction guardrails, or anomaly detection systems to observe and halt erratic or malicious agent behaviors before they commit to the blockchain.

Not certain from the listing — While the native AGI token is used for governance and transactions, traditional security compliance frameworks (e.g., SOC2, ISO) or specific decentralized identity (DID) authorization controls are not detailed.

As an open collaboration network aiming for billions of AI Virtual Beings, the ecosystem layer is highly exposed. Threats include rogue or compromised agents propagating malicious payloads, agent-to-agent trust abuse, and cascading transaction failures across the decentralized network.