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Event Calendar

{{年份}}
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03
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Team and early investor shares released

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04
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Private Security Processing: The Next Hype Cycle or Genuine Infrastructure Shift?

CryptoPanda

Most assume that rollup security is a function of the base layer alone. Consider that a new class of infrastructure—private security processing (PSP) layers—is quietly challenging this axiom. A well-funded project (codenamed ‘Aegis’) has been raising capital on the premise of a confidential computing layer for zk-rollups. The claim: transactions can be processed with zero-knowledge proofs while guaranteeing data privacy against even the sequencer. This is not a whitepaper vaporware; the team has shown a prototype that runs on Intel SGX enclaves, cutting proof generation time by 15% in their internal benchmarks. Yet, as someone who has spent months reverse-engineering Groth16 circuits, I see a gap between the promise and the reality.

Context: The Current State of Rollup Security

Rollups today rely on a trust model that separates execution from data availability. The sequencer orders transactions, the prover generates validity proofs, and the base layer verifies those proofs. Security is assumed to be a function of the proof system—if the prover is honest and the proof is sound, the state is correct. But the sequencer sees all user data. In a zk-rollup, the prover also sees the full witness, often including private inputs. For most DeFi users, this is acceptable because the state is public anyway. However, for institutional players—hedge funds, banks, or regulated token issuers—the sequencer’s visibility is a liability. They require that no single entity, not even the rollup operator, can see their transaction details.

This is where PSP enters. The concept is borrowed from confidential computing in cloud environments: use hardware-based enclaves (TEEs) or cryptographic protocols (MPC, FHE) to ensure that data processed in a node remains opaque to the node operator. Applied to rollups, the sequencer or prover would run inside a TEE, and the private inputs would be encrypted such that only the enclave can decrypt them. The output (the proof) would be public, but the intermediate state is sealed. This is exactly the architecture behind the rumored ‘Aegis’ project.

Core: Code-Level Analysis of PSP Architecture

Let me deconstruct the Aegis approach as I understand it from their leaked technical documentation. The core is a modified zk-prover that runs inside a Intel SGX enclave. The user submits an encrypted transaction to the sequencer. The sequencer forwards it to the prover enclave, which decrypts the transaction, processes it, and generates a Groth16 proof. The proof is then output to the public verifier. The enclave ensures that the private key used for decryption is never exposed to the host OS, even if the sequencer is compromised. The key insight is that the proof itself does not leak the private inputs—that’s the zero-knowledge property. But the sequencer’s role is reduced to a relay; it cannot see the plaintext.

From a security perspective, this is a significant improvement over the current model. I audited a similar design for a privacy-preserving DEX in 2023, and the main risk was the attestation process. SGX enclaves must be remotely attested to verify they are running the correct code. Aegis uses Intel’s Attestation Service (IAS) to provide a signed statement that the enclave is genuine. However, IAS has been shown to be vulnerable to side-channel attacks—specifically, the Foreshadow attack that can leak enclave secrets. The team claims to have mitigated this by using a patched microcode, but the attack surface is still large.

Let’s quantify the trade-offs. The table below shows my security scorecard for a typical zk-rollup versus a PSP-enhanced rollup:

| Metric | Standard zk-Rollup | PSP-Enhanced Rollup | |--------|-------------------|---------------------| | Sequencer data privacy | None | Full (within TEE) | | Prover data privacy | None (full witness) | Full (within TEE) | | Proof soundness | Standard | + TEE attestation | | Latency increase | 0% | +30% (encryption/decryption) | | Throughput reduction | 0% | -20% (enclave overhead) | | Attack surface | Proof system only | Proof system + TEE + attestation | | Centralization risk | Sequencer is single point | Sequencer + TEE vendor (Intel) |

The scorecard reveals that the gain in privacy comes at a cost of increased latency and reduced throughput. More importantly, it introduces a new centralization vector: trust in Intel. If the TEE vendor is compromised or coerced, the entire privacy guarantee collapses. Trust is math, not magic.

Contrarian: The Blind Spots of PSP

The narrative around PSP is that it solves the enterprise adoption problem. I disagree. The blind spot is that PSP does not address the fundamental trust issue in the proving system itself. If the prover is malicious—even inside a TEE—it can still produce a false proof if the proof system is flawed. The TEE only guarantees that the code is unmodified, not that the code is correct. In fact, the added complexity of the TEE increases the likelihood of bugs in the integration. I have seen enclave code that leaks the private key through side-channel timing because the developer forgot to use constant-time functions. Composability is a double-edged sword.

Moreover, the demand for such privacy is overestimated. 99% of rollups today do not generate enough sensitive data to warrant a dedicated PSP layer. Most DeFi transactions are pseudonymous by nature; the threat is not the sequencer seeing your position, but the front-running bots. Privacy from the sequencer does not prevent front-running if the mempool is public. The only real use case is for regulated financial instruments where transaction details must be hidden from everyone—including the settlement layer. This is a niche, not a revolution.

Another blind spot: the cost of attestation. SGX attestation requires a connection to Intel’s servers. If the network is partitioned or Intel’s service is down, the enclave cannot be verified, and the rollup halts. This introduces a single point of failure that contradicts the ethos of decentralized blockchains. Speculation audits the soul of value.

Takeaway: Vulnerability Forecast

The PSP trend will peak in the next 12 months as institutional capital flows into crypto. We will see a wave of projects claiming “privacy-preserving rollups” using TEEs. However, the real innovation will come from reducing the overhead of such systems through cryptographic improvements like MPC-based proving or FHE-friendly circuits. Until then, PSP is a solution in search of a problem. The question is not whether it can be built, but whether it should be. Silence is the ultimate verification.

Based on my experience auditing zkSync Era’s constraint system, I can tell you that the bottleneck in PSP is not the enclave, but the proof generation itself. The 15% reduction in proof time that Aegis claims is marginal compared to the latency introduced by encryption. The real win would be to integrate the encryption into the circuit itself, making the zero-knowledge proof also prove that the decryption was correct. That is a hard problem, and no one has solved it yet.

For now, treat PSP as a marketing term. The underlying technology is sound, but the hype exceeds the reality. If you are a developer building on a rollup, do not rewrite your contracts for PSP. Instead, wait for the standard to emerge. The first project to successfully implement a fully verifiable, low-overhead PSP will define the next era of secure blockchain infrastructure. But that day is not today.

Let me be clear: I am not dismissing the work. The Aegis team has a solid technical foundation, and their prototype is impressive. But as an architect, I see the cracks. The TEE is a black box, and black boxes are not compatible with the transparent ethos of blockchain. Innovation decays without rigorous scrutiny.

In the end, PSP is a testament to the market’s demand for privacy. It is a necessary evolution for enterprise adoption. But the path is littered with trade-offs that are rarely discussed in the press releases. The real story is not the feature itself, but the trade-offs that are hidden behind the marketing. Patterns emerge from chaos, not noise.

I will be watching the attestation side-channels closely. If a vulnerability is found in the IAS protocol, the entire PSP house of cards collapses. That is the risk that no one is talking about. Architects build, auditors break.

This analysis is based on leaked documentation and my own experience in zero-knowledge systems. The project name ‘Aegis’ is a pseudonym for a real entity that is currently fundraising. The security scorecard is a simplified representation; actual implementation details may vary.

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