The $Zec move brought the privacy narrative back to life. Dash and ZEN followed almost immediately, but those moves look more like beta than fundamentals. What caught my attention was StarkWare pumping a few days later. At first I was wondering: is STRK trading with Arb or with Zcash? After digging into it, the privacy connection is actually there. Starknet has been working with Circle on private USDC, allowing users to shield and unshield funds, make private transfers, and still preserve auditability through viewing keys. The interesting part is that this privacy wave feels very different from the Tornado Cash era. Back then, privacy was mostly about being completely private. This time, the narrative seems to be moving toward selective and auditable privacy, which makes much more sense for institutions. I would break the current privacy market into four areas. 1. Asset privacy: $Zec Zcash treats privacy as a core monetary property. The interesting contradiction is that institutional products still need transparency and compliance, while the whole point of Zcash is privacy. That tells me one thing: optional privacy is becoming much more important. 2. Private transactions: StarkWare & Aleo Starknet is pushing private USDC with shielded and unshielded transfers, private transactions and viewing keys for compliance. Aleo is also moving toward private stablecoin infrastructure through USDCx and Circle’s ecosystem. Different technology, same direction: private transactions that can still work within a regulated system. 3. Privacy computation: Zama, Phala & Nillion @Zama is probably the clearest name in FHE. Fully Homomorphic Encryption is one of the most powerful approaches to private computation, allowing data to remain encrypted while being processed. @PhalaNetwork is taking the TEE route, with confidential computing and encrypted inference becoming increasingly relevant for AI. Nillion is taking another approach with encrypted markets and programmable encrypted instructions. Different architectures, but the same goal: compute on sensitive data without exposing the underlying information. 4. Institutional privacy: Canton @CantonNetwork is a different beast. It is built more around institutional finance, with sub transaction level privacy where participants only see the information relevant to them. No need for everything to be completely private. Just private enough for the right parties. That might actually be the privacy model TradFi needs most. There are plenty of other projects worth watching too, including @Railgun_Project and @MidnightNtwrk, but the bigger picture is what interests me. Privacy is no longer simply about hiding everything. The next phase looks more like privacy with control, compliance and selective disclosure. And that is a much bigger market than the privacy narrative we had a few years ago.