Leading Meta’s AI Safety Mission
Song’s primary focus at MSL will be leading AI safety and security initiatives, with specific attention to frontier AI models and agentic AI systems. In her announcement, she emphasized the importance of making AI secure, trustworthy, and beneficial
to unlock its full potential.
Her appointment comes as major AI labs are intensifying their focus on agent safety. AI agents, which can take autonomous actions and use tools across software systems, require robust security architecture. A failure or misuse in these systems could cascade widely across products and services, making security paramount before large-scale deployment.
Virtue AI Team Strengthens Meta’s Ranks
Song is not arriving alone. Several members of her team from Virtue AI are joining Meta alongside her. Axios reported that Bo Li and Sanmi Koyejo, both co-founders of Virtue AI, are among the new hires bringing senior expertise in AI security to the company.
Virtue AI, founded in 2024, specialized in building trustworthy AI systems. Before the Meta transition, the startup developed tools spanning AI security, agent security, benchmarking, and governance. Their work included automated red teaming, runtime guardrails, and broader AI governance frameworks. This combination of capabilities directly addresses the technical challenges Meta needs to solve as it scales advanced AI systems.
From Blockchain Privacy to AI Frontier
Song’s career trajectory reflects a thematic through-line: privacy and security in emerging computing paradigms. In 2018, she founded Oasis Labs and raised $45 million to develop privacy-first cloud computing powered by blockchain. The backing included prominent venture firms a16zcrypto, Accel, and Binance Labs, signaling strong institutional confidence in the privacy-first approach.
Oasis Labs later evolved into the Oasis Network, which prioritized confidential computing and privacy-preserving applications. The network’s verifiable AI agents for crypto trading demonstrated early thinking about combining AI with privacy, using trusted execution environments to protect trading strategies while proving agent behavior to users. Now, at Meta, Song is applying these same principles to much larger AI systems serving billions of people.
Market Reaction Subdued
Despite the high-profile hire, the market response has been muted. ROSE, the token associated with the Oasis Network, showed minimal movement following the announcement. On June 26, the token traded near $0.0059, hovering around its intraday low and representing approximately 99% below its all-time high of $0.596.
The token has been battered by broader crypto market headwinds, with valuations remaining well below peak-cycle levels. This occurs even as both privacy and AI safety remain active investment themes in the crypto sector. For the Oasis community, however, the move carries symbolic weight, recognizing Song’s foundational role in linking blockchain, privacy, and security before AI safety became a mainstream concern.
Follow Hashlytics on Bluesky, LinkedIn, Telegram and X to Get Instant Updates
