Cybersecurity firm SlowMist has introduced a five-layer security framework for AI and Web3 agents, presenting it as a way to mitigate the growing threats associated with autonomous systems running onchain activities and digital assets.
On Wednesday’s blog postThe platform focuses on user AI agents and combines management control via the AI ​​Development Security Solution (ADSS) with execution layer tools such as OpenClaw, MistEye Skill, MistTrack Skill and MistAgent, the company said. The company said the system was designed to create a closed process of pre-execution control, mid-execution constraints and subsequent review.
SlowMist’s so-called “digital fortress” aims to protect against threats such as instantaneous injection, supply chain poisoning attacks, data leaks and loss of assets due to unauthorized operations or exploits related to the behavior of AI agents. It also aims to reduce risk without sacrificing AI performance.
Autonomos AI agents introduce a fresh attack surface to business operations
The push comes as more crypto firms experiment with autonomous trading and execution tools, introducing “new attack surfaces” such as supply chain poisoning, which SlowMist says has become a fresh entry point for hackers embedding secret backdoors in devices.
The framework’s management layer, ADSS, aims to establish auditable security standards for organizations to prevent these threats. It includes AI agent permission restrictions, real-time threat checking for external interactions, and improved onchain risk detection.
The core value of ADDS is to transform “distributed security activities” into systematic activity that is “executable, controllable and sustainable,” SlowMist said.
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The number of autonomous cryptocurrency trading bots is growing
Crypto companies are launching more autonomous cryptocurrency trading bots. On January 21, crypto intelligence platform Nansen launched autonomous cryptocurrency trading tools that allowed users to make trades via AI agents and natural language prompts, with cross-chain execution on the Base and Solana blockchains.
Other companies that have launched no-code AI trading agents include Coinbase, Bitget, Walbi, and Gate.io. These solutions aim to lower entry barriers for retail investors through automated strategies and conversational interfaces.
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