SlowMist Launches AI On-chain Tracking Tool TrackAgent
Blockchain security firm SlowMist has announced the launch of the AI on-chain intelligence tracking tool TrackAgent, which has been integrated into its free stolen asset assessment service.
TrackAgent supports 31 blockchains and can continuously track stolen funds, reconstruct complex fund flows, and associate attacker addresses, combining on-chain and security threat intelligence to assist investigations.
In market mechanisms, the increased efficiency of recovering stolen assets encourages more victims and project parties to use security services, leading to a growing demand for on-chain tracking tools, benefiting security firms like SlowMist while putting pressure on the paths of attackers' fund transfers.
Source: Public Information
ABAB AI Insight
SlowMist has previously focused on blockchain security auditing and incident response, and its historical path shows that it has built industry trust through free tools and intelligence services. The launch of TrackAgent is a continuation of its shift from passive auditing to active AI intelligence tracking.
In terms of capital, SlowMist is investing AI technology resources into the on-chain tracking field, attracting project parties and user data through its free stolen asset assessment service, with a strategic aim to expand its intelligence database and convert some advanced tracking into paid enterprise services, achieving resource accumulation and a commercial closed loop.
Similar to how on-chain analytics companies like Chainalysis and TRM Labs initially entered the market with free tools, SlowMist is currently in a phase of expanding from traditional auditing to an AI-driven intelligence platform in the blockchain security industry.
Essentially, this represents a technological replacement: AI capabilities are replacing manual on-chain investigations, shifting pricing power from simple security audits to a comprehensive platform with multi-chain tracking and intelligence association, driven by the expansion of stolen fund scales and the increasing complexity of attacks.