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TRON founder Justin Sun has today announced the independent development of an AI-powered detective system to analyze complex crypto fraud cases and identify criminal suspects.
According to Justin Sun, the AI detective system will assist judicial authorities in solving crypto crimes and meeting investors’ needs. “The total value of criminal cases analyzed to date exceeds one billion US dollars,” Justin remarks.
“For the first time, every investigator can have an agent on every case working in parallel. Co-Case Agent doesn’t replace investigator expertise; it applies it faster and at a scale that was never possible before,” said Esteban Castaño, Co-Founder and CEO of TRM Labs. “The right insight at the right moment is the difference between an investigation that stalls and one that moves.”
Justin Sun’s Tron takes the AI route to help solve crypto crime
As intended, Tron will “Allocate 10% of this amount — a total of one hundred million US dollars — as rewards for white-hat contributors who provide key leads and for the law enforcement agencies involved.”
Hosted on web3bounty.io, this platform is built to handle large amounts of data and identify criminal suspects in real time.
The AI-based detective system will, at the outset, be implemented in collaboration with the judicial authorities of China, Hong Kong, the United States, the United Arab Emirates, and other jurisdictions that have a vested interest.
Justin Sun reported that the AI-detective platform has already closed cases. According to him, “Criminal suspects, including but not limited to FDT (First Digital Trust), Vincent Chok, Aria, and Matthew William Brittain have already been identified.”
Early $50 million bounty for the FDT and ARIA case
Earlier, the platform had investigated the First Digital Trust (FDT) and ARIA cases. This case involved the misappropriation of $456 million in TUSD assets. A $50 million bounty has been posted on web3bounty.io for any insider or whistleblower with important clues that can lead to the recovery of the assets.
The case centers on the licensed trust companies in Hong Kong and the intermediaries suspected of exploiting regulatory loopholes to facilitate the misappropriation of assets worth over half a billion US dollars in escrow with the licensed trust companies.
The First Digital Trust (FDT) and ARIA fraud case. Source: Justin Sun on XJustin Sun took to X to ask Dubai regulators and banks to act swiftly. “I once again urge the Dubai government, regulatory authorities, and banks to take swift and decisive action. Dubai must not become a safe haven for fraud and money laundering,” he propounded.
Crypto community not sure AI-detective is the way to go
The crypto community on X has had a rather mixed reaction to the AI-detective development. For a start, broader data analysis raises privacy concerns, especially when tracking financial behavior on this large scale.
Justin Sun’s character and business endeavours have also been dragged into his new enterprise. One user says, “With Justin Sun announcements need months to verify.”
Another states, “An AI detective system funded by the accused, identifying suspects chosen by the accuser, with rewards distributed at the discretion of the same party. Who watches the watchman, Justin?”
On-chain AI systems become a growing crypto trend
Tron is not alone in this pursuit of AI-driven security. Bybit, following the $1.5 billion Ethereum hack, has significantly expanded its AI-driven security systems.
In late 2025, Bybit reported intercepting and recovering $300 million in suspected scam withdrawals, safeguarding thousands of users.
The Bybit system uses data from blockchain analytics firms such as TRM Labs, Elliptic, and Chainalysis to track fraud networks and flag suspicious transactions.
Solana and Base have also made moves to enter this new and growing market. Other recent additions include Visa, Stripe, and World.
In September, the Ethereum Foundation entered the agentic AI market with the formal establishment of the ‘dAI Team,’ which seeks to make Ether “the preferred settlement and coordination layer for AI agents and the machine economy.”
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