Google Engineer Accused of $1.2 Million Insider Trading

A Google software engineer has been charged in the United States for allegedly exploiting confidential internal data to generate over $1.2 million in profits through prediction market trading.

This case underscores the increasing concerns regarding insider threats and the misuse of privileged access within large technology companies.

Details of the Allegations

According to the U.S. Attorney’s Office for the Southern District of New York, Michele Spagnuolo, known online as “AlphaRaccoon,” is accused of using nonpublic business information acquired through his position at Google.

Authorities allege that Spagnuolo utilized internal company tools containing sensitive data marked “Google Confidential” to gain an unfair advantage in financial markets.

The investigation reveals that Spagnuolo had legitimate access to internal systems, which he allegedly misused to inform trading decisions on Polymarket, a blockchain-based prediction market platform.

The Financial Impact

Reports suggest that Spagnuolo created the “AlphaRaccoon” account in May 2024 and began trading based on Google-related events. Between October 15 and December 4, 2025, he reportedly risked approximately $2.75 million across various prediction markets.

Upon public disclosure of the relevant information, Spagnuolo is said to have realized profits totaling about $1.2 million, with prosecutors arguing that these gains were derived from insider knowledge, violating federal financial and fraud laws.

Spagnuolo, a 36-year-old Italian national living in Switzerland, faces multiple charges, including commodities fraud, wire fraud, and money laundering, potentially leading to significant prison sentences.

Implications for Cybersecurity and Regulation

This incident highlights the risks of excessive access to sensitive data within enterprise environments, even in organizations with robust security policies. Trusted insiders can become substantial threats if monitoring and behavioral analytics are inadequate.

The case also reflects the evolving nature of financial exploitation, as nontraditional platforms like prediction markets are increasingly used for monetizing insider information. These platforms may introduce new challenges for regulatory oversight and detection.

Law enforcement agencies, including the FBI and the U.S. Department of Justice, continue to focus on identifying individuals who exploit corporate access for personal gain. The Securities and Commodities Fraud Task Force is handling this case, with all allegations subject to judicial review.

For organizations, this case serves as a reminder to bolster insider risk management programs, enforce strict access controls, and implement monitoring mechanisms to detect unusual data usage patterns before causing financial or reputational harm.