a16z: Privacy trends in 2026

Against the background of tightening supervision and comprehensive transparency of data on the chain, privacy is once again becoming a core issue in the encryption industry. As Zcash\'s new developments in compliance privacy, optional disclosure and other directions have attracted renewed attention from the market, top capital has also begun to systematically deploy this track. A16z\'s recent statement and investment direction on privacy technology show that privacy is no longer just about \"anonymous transfers\", but an infrastructure that covers identity, data ownership and on-chain application security. Zcash may be just the starting point. The privacy narrative in 2026 is being redefined.

1. Privacy will be the most important moat in the cryptocurrency field this year.

Privacy is a key element in the shift of global finance up the chain and an element missing from almost all existing blockchains. For most blockchains, privacy has always been an afterthought. But today, privacy alone is enough to make one blockchain stand out among many.

Privacy also has a more important role: it can form a chain lock-in; or a privacy network effect. This is particularly important in today\'s world where performance competition alone is no longer enough to win.

Thanks to the bridging protocol, migration from one chain to another is easy as long as all information is public. But once the information becomes private, the situation is completely different: bridging tokens is easy, but bridging keys is difficult. Moving inside and outside a private area is always risky, and people monitoring chains, memory pools, or network traffic may identify you. Crossing the boundary between private and public chains-or even crossing the boundary between two private chains-leaks various metadata, such as the correlation between transaction time and transaction size, making it easier to track someone.

Compared with many emerging blockchains with single functions and fierce competition (where the block space is already basically the same), blockchains with privacy functions have a stronger competitive advantage because in these blockchains, transaction fees are likely to be reduced to zero due to competition. The reality of the network effect is that if a \"universal\" supply chain does not have a thriving ecosystem, killer apps, or unfair distribution advantages, few people will use it or develop on top of it-let alone remain loyal to it.

When users use a public blockchain, they can easily transact with users on other chains-it doesn\'t matter which chain you join. But when users use private blockchains, the chain they choose is crucial because once they join a chain, they are unlikely to move easily, reducing the risk of information leakage. This creates a winner-take-all situation. Since privacy is crucial for most real-world application scenarios, a few privacy chains may control most cryptocurrencies.

--Ali Yahya(@alive_eth), general partner of a16z cryptocurrency

2. The problem facing instant messaging applications this year is not only how to resist quantum attacks, but also how to achieve decentralization.

The world is ready for quantum computing Many cryptography-based instant messaging applications (such as Apple, Signal and WhatsApp) are at the forefront and are doing very well. The problem is that all major instant messaging applications rely on our trust in private servers run by a single agency. These servers can easily be targeted by governments, which can easily shut them down, plant backdoors, or coerce users into handing over private data.

If a country can shut down your servers; if a company owns the key to a private server; or even if only one company owns a private server, what is the use of quantum encryption?

Private servers need to \"trust me\", but not having a private server means \"you don\'t need to trust me.\" Communications do not require any intermediaries. Messaging requires open protocols under which we don\'t need to trust anyone.

The way we achieve this is through a decentralized network: no private servers, no single application, all open source, and best-in-class encryption technology-including protection against quantum threats. In an open network, no individual, company, nonprofit organization or country can deprive us of our communication capabilities. Even if a country or company shuts down an application, 500 new versions emerge the next day. After closing a node, due to the existence of technologies such as blockchain, there will be economic impetus to immediately replace it with a new node.

When people control their information like their money-have control-everything will change. Applications may come and go, but people are always in control of their information and identity; end users can now have their own information even if they no longer use the application.

This is more powerful than quantum resistance and encryption; it is ownership as well as decentralization. Without both, all we do is build an encryption that seems unbreakable but can still be turned off.

--Shane Mac(@ShaneMacXMTP Labs Co-Founder and CEO

3. We will provide \"Secret-as-a-Service\" to make privacy the core infrastructure

Behind every model, agent, and automated process lies a simple dependency: data. But today most data pipelines-that is, the data that comes into the model or the output model-are opaque, mutable, and unauditable.

This may work for some consumer applications, but many industries and users, such as finance and healthcare, require companies to keep sensitive data confidential. It is also a huge obstacle for institutions currently seeking to tokenize real-world assets.

So how can we achieve innovation in security, compliance, autonomy and global interoperability while protecting privacy?

There are many methods, but I will focus on data access control: Who controls sensitive data? How is data transferred? Who (or what) can access it? Without data access controls, anyone who wanted to keep data confidential would now have to use centralized services or build custom settings-which is not only time-consuming and labor-intensive, but also prevents traditional financial institutions and other institutions from taking full advantage of on-chain data management. In order for agent systems to be able to browse, trade and make decisions independently, users and organizations in all walks of life need encryption guarantees rather than \"best-effort trust.\"

That\'s why I think we need key-as-a-service: new technologies that can provide programmable, native data access rules; client-side encryption; and decentralized key management that mandates who can decrypt what under what conditions, and for how long it can be decrypted... all of which are enforced on-chain.

Combined with verifiable data systems, secrets can become part of the Internet\'s basic public infrastructure, rather than application-level patches that attach privacy afterwards, making privacy the core infrastructure.

--Adeniyi Abiodun (@EmanAbio), Chief Product Officer and Co-Founder, Mysten Labs

4. In security testing, we will shift from \"code is the law\" to \"specifications are the law\"

Last year, attacks on the DeFi platform even affected the time-tested, powerful teams, Strict audit mechanism and mature agreement with years of production experience. These incidents highlight a disturbing reality: Today\'s standard security practices still rely heavily on rules of thumb and case-by-case handling.

In order to mature this year, DeFi security needs to move from vulnerability patterns to design-level attributes and from a \"best effort\" approach to a \"principled\" approach:

● During the static/pre-deployment phase (testing, auditing, formal verification), which means systematically proving global invariance rather than verifying manually chosen local invariance. Currently, multiple teams are building AI-assisted proof tools that can help write specifications, propose immutability, and alleviate the costly and extensive manual proof engineering work in the past.

● In the dynamic/post-deployment phase (runtime monitoring, runtime enforcement, etc.), these invariants can be transformed into real-time protection measures: the last line of defense. These safeguards will be coded directly into run-time assertions that must be satisfied by every transaction.

So now, instead of assuming that every error is discovered, we enforce key security attributes in the code itself, automatically undoing any transactions that violate those attributes.

This is not just talk on paper. In fact, almost all exploits to date have triggered these checks during execution, potentially preventing attacks. As a result, the once-popular concept of \"code is law\" has evolved into \"norms are law\": even new attacks must meet the same security attributes to ensure system integrity, so the remaining attacks are either small in scale or extremely difficult to execute.

--Daejun Park(@daejunpark), a16z Encryption Engineering Team