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Reputation systems guide our decision making both in life and work: whichrestaurant to eat at, which vendor to buy from, which software dependencies touse, and who or what to trust. These systems are often based on old ideas andare failing in the face of modern threats. Fraudsters have found ways tomanipulate them, undermining their integrity and utility. Generative AI adds tothe problem by enabling the creation of real-looking fake narratives at scale,creating a false sense of consensus. Meanwhile, the need for reliablereputation concepts is more important than ever, as wrong decisions lead toincreasingly severe outcomes: wasted time, poor service, and a feeling ofinjustice at best, fraud, identity theft, and ransomware at worst.  In this extended abstract we introduce Sandi, a new kind of reputation systemwith a single well-defined purpose: to create trust through accountability inone-to-one transactions. Examples of such transactions include sending an emailor making a purchase online. Sandi has strong security and privacy propertiesthat make it suitable for use also in sensitive contexts. Furthermore, Sandican guarantee reputation integrity and transparency for its registered users.  As a primary application, we envision how Sandi could counter fraud and abusein direct communication. Concretely, message senders request a cryptographictag from Sandi that they send along with their message. If the receiver findsthe message inappropriate, they can report the sender using this tag. Notably,only senders need registered accounts and do not need to manage long-term keys.The design of Sandi ensures compatibility with any communication system thatallows for small binary data transmission.

Sandi: A System for Accountability and Applications in Direct Communication (Extended Abstract)