7Block Labs
Blockchain Technology

ByAUJay

Implementing “Post‑Quantum” Cryptography in Smart Contracts

As we dive deeper into the world of blockchain and smart contracts, the idea of quantum computing is starting to loom large. What does that mean for our precious cryptographic systems? Well, it’s time to look ahead and implement “post-quantum” cryptography in smart contracts to keep our data safe from future quantum threats.

Why Post-Quantum Cryptography?

Quantum computers have the potential to crack many of the cryptographic algorithms we rely on today. It's not just about making things harder for hackers; it's about staying one step ahead of technology. By adopting post-quantum cryptography, we're essentially preparing for a future where quantum computers could potentially break our current security measures.

Key Principles of Post-Quantum Cryptography

Post-quantum cryptography revolves around a few key principles:

  1. Resilience to Quantum Attacks: Algorithms should remain secure even against quantum adversaries.
  2. Compatibility: Implementation should be compatible with existing blockchain infrastructures.
  3. Performance: It should maintain a reasonable balance between security and performance.

Steps to Implement Post-Quantum Cryptography

Here’s a simplified roadmap to get you started with integrating post-quantum cryptography into your smart contracts:

  1. Research: Stay updated on the latest post-quantum algorithms being developed and standardized by organizations like NIST.
  2. Assess Current Infrastructure: Look at your existing smart contracts to determine what needs to be updated or replaced.
  3. Choose Your Algorithms: Select algorithms that fit your security needs, like lattice-based or hash-based schemes.
  4. Implement and Test: Integrate your chosen algorithms into your smart contracts and test rigorously to ensure they function smoothly.
  5. Stay Flexible: As the landscape of quantum computing evolves, ensure that your system can adapt to new developments.

Challenges Ahead

While integrating post-quantum cryptography is crucial, it doesn’t come without its challenges:

  • Performance Overheads: Some post-quantum algorithms might introduce delays or increase resource consumption.
  • Adoption: Getting everyone on board with new standards and practices can be tough.
  • Complexity: Many current systems aren’t designed with post-quantum considerations in mind, which can complicate implementation.

Conclusion

Transitioning to post-quantum cryptography in smart contracts is no small feat, but it’s a necessary step to secure our digital future. By making these adjustments now, we can safeguard our systems against the quantum threats that lie ahead. If you’re interested in more detailed algorithms and their implementations, check out the NIST Post-Quantum Cryptography pages.

Let’s keep our smart contracts secure and future-proof!

  • So, your CISO just threw a question your way about whether your process for handling signatures and keys meets the standards set by FIPS 203/204/205. The thing is, your contracts and off-chain signers are all tied to secp256k1, and the auditors raised a red flag about the “harvest-now/decrypt-later” risk on your RPC traffic and code-signing artifacts, which need to stay valid for 7-10 years.
  • On the engineering side, they jumped into developing a POC with on-chain SPHINCS+/Dilithium, but they ran into a snag. Turns out the signature and public key payloads are inflating the call data by around 20-24 KB for each validation. With the current price trends for calldata, this just isn't going to work for batch workflows and account-abstraction flows. (csrc.nist.gov)
  • The compliance clock is ticking! NIST wrapped up its PQC standards (FIPS 203 ML‑KEM, FIPS 204 ML‑DSA, FIPS 205 SLH‑DSA) on August 13, 2024, and in 2025, they tossed in HQC as a backup KEM. These aren’t just “nice-to-haves”--they’re crucial for U.S. federal migration guidance and the CNSA 2.0 timelines that impact purchasing decisions in both businesses and the public sector. You can check it out here.
  • The term “Harvest-now/decrypt-later” is a real eye-opener. Basically, any traffic you send today over TLS using classical key exchange is vulnerable to future decryption. That’s why the IETF rolled out the hybrid HPKE/TLS documents and new ML‑KEM KEM suites--they're designed to tackle this risk head-on. Plus, cloud and HSM vendors are already rolling out FIPS-track implementations. If your go-to-market strategy leans on banking, defense, or infrastructure customers in 2026, then being “PQC-ready” should be a line item on your checklist. More details can be found here.
  • We can’t ignore the engineering constraints. EVM calldata is still pricey (4/16 gas per byte), which sets new baselines for data-heavy transactions. If you’re not careful, naively trying to pass 20-25 KB of PQ material per validation can seriously drive up L1 costs and mess with block payload limits. You’ll want to focus on cryptographic compression and L2 placement instead of just brute forcing it. For more insight, take a look here.

Who this is for (and the keywords you actually need)

  • Regulated fintech, RWA platforms, exchanges, and critical infrastructure platforms modernizing signing/encryption and code-signing:

    • Here are the keywords you'll definitely want to have in your toolkit: FIPS 203/204/205, ML-KEM-768, ML-DSA-44, CNSA 2.0 deadlines, FIPS 140-3 validation/CAVP, PKCS#11, TLS 1.3 hybrid KEM (HPKE PQ/T), and the OMB cryptographic inventory.
  • L2/rollup platform leads and smart-account frameworks:

    • If you're in this arena, make sure to keep these keywords handy: EIP-4337, ERC-1271, EIP-7951 (secp256r1 precompile), EIP-8051 (ML-DSA precompile), calldata floors (EIP-7623), HPKE commitments on-chain, ZK verifier strategy (SNARK wrapper / STARK prover), and blob DA (EIP-4844).

What Changed Since Jan 2026 That Makes This Implementable--Not Just Theoretical

  • NIST’s PQC set is finally here: They’ve wrapped it up and named them--ML‑KEM (Kyber), ML‑DSA (Dilithium), and SLH‑DSA (SPHINCS+). Plus, HQC got chosen as a backup KEM in 2025. You can read more about it here.
  • IETF HPKE PQ draft is in the mix: This draft lays out ML‑KEM KEM IDs (and the hybrids with X25519/P‑256), which makes it possible to go for hybrid key exchange right now. Check out the details here.
  • Tooling is getting up to speed: OpenSSL 3.5.0 is all about hybrid PQ KEM groups; AWS‑LC FIPS 3.0 has added ML‑KEM in a FIPS‑validated module; AWS KMS is rolling out ML‑DSA signing keys; Thales Luna firmware now supports ML‑KEM mechanisms; and CIQ’s NSS module has scored CAVP certification for ML‑KEM/ML‑DSA. These are great building blocks that are friendly for procurement. More info can be found here.
  • On-chain surface is evolving: EIP‑7951 (secp256r1) is standardizing a P‑256 precompile, which aligns nicely with the widely used L2s’ RIP‑7212. Plus, EIP‑8051 is suggesting ML‑DSA verification precompiles along with a version optimized for EVM. Planning for these changes now means you can avoid another migration down the line. More details are available here.

The 7Block Labs Approach: A Realistic, Step-by-Step PQC Program You Can Launch This Quarter

When it comes to adopting post-quantum cryptography (PQC), we believe in keeping it straightforward and manageable. Our method involves a phased approach that you can easily implement within the next few months. Here’s how we break it down:

Step 1: Assess Your Current Cryptographic Landscape

Before diving in, take a good look at what you've got. Identify all the areas where you're using cryptography and see how you can incorporate PQC.

Step 2: Choose Your PQC Candidates

Not all algorithms are created equal. We recommend exploring established candidates from the NIST PQC project, like:

  • NTRU
  • Lizard
  • FALCON

These options have been vetted, so you can feel more confident about your choices.

Step 3: Pilot Implementation

Now it’s time to test things out. Pick a small part of your system to roll out PQC. This way, you can work out any kinks before going big.

Step 4: Full-Scale Rollout

Once your pilot is up and running smoothly, it's time to spread the love. Implement PQC across all your systems, ensuring a smooth transition.

Step 5: Continuous Monitoring and Updating

Keep an eye on your systems after the rollout. Stay current with developments in PQC, and be ready to adapt as better algorithms come into play.

Conclusion

With our staged approach, you can confidently incorporate post-quantum cryptography into your operations--no stress, just smart planning. Ready to get started? Let’s make it happen this quarter!

Stage 1 -- Inventory, Threat Model, and “No-Regrets” Controls (2-3 Weeks)

  • Let’s start by creating a cryptographic SBOM for:

    • On-chain: This includes ECDSA/EdDSA assumptions in Solidity, usage of ERC‑1271, AA validators, and bridge light-clients.
    • Off-chain: We’ll cover TLS libraries like OpenSSL, wolfSSL, and AWS-LC, as well as HSMs/PKCS#11, KMS (AWS/GCP), and CI/CD code-signing.
  • Next up, we need to set up hybrid PQC for transport right away:

    • We’ll terminate TLS 1.3 with ML-KEM‑768 hybrid suites (HPKE PQ/T) at gateways and RPC nodes. Make sure to prefer AWS-LC s2n‑tls or OpenSSL 3.5+ with PQ KEM groups. This helps mitigate HNDL risk without having to mess with contracts. (aws.amazon.com)
  • And don’t forget about compliance artifacts from day one:

    • We need to map our current state to FIPS 203/204/205 references and CNSA 2.0 milestones. Pre-draft those OMB inventory fields (systems, algorithms, keys, lifetimes). Check out more info here: (nsa.gov).

Stage 2 -- PQ‑aware Smart Accounts with Zero UX Friction (4-6 Weeks)

  • WebAuthn + P‑256 on Ethereum via EIP‑7951:

    • For our AA wallets, let's jump on the P‑256 precompile interface right away! It's already being standardized as EIP‑7951 and many L2s are deploying it under RIP‑7212. This move will let us use passkeys and YubiKeys with hardware-rooted keys, which means we can wave goodbye to seed-phrase risks while we work on PQ signatures. Check it out here: (eips.ethereum.org).
  • Contract Pattern (Example):

    • We can use ERC‑1271 for our signature policy and accept:
      • secp256k1 for backward compatibility,
      • P‑256 for passkeys (thanks to the precompile),
      • And a PQ “receipt” (more on this in Stage 3) to confirm that we intend to use ML‑DSA.

Stage 3 -- Make PQ signatures cheap on-chain (6-10 weeks)

  • First off, let’s not dump raw ML‑DSA public keys and signatures directly onto L1 with every call. Given the sizes we're talking about for ML‑DSA‑44 (like 1312 B for the key and 2420 B for the signature), the calldata could really rack up the costs--especially if a future calldata floor kicks in. Instead, let's verify off-chain and then prove on-chain. (csrc.nist.gov)
  • Here’s the pattern we recommend:

    1. An off‑chain signer, using HSM/KMS, creates an ML‑DSA signature over the canonical EIP‑712 intent.
    2. A zk worker takes care of verifying the ML‑DSA and produces a concise proof that ties it all together:

      • The message hash (Keccak),
      • The ML‑DSA public key commitment,
      • And the verification result, which is just true.
    3. Finally, the on‑chain verifier checks the zk proof and the commitment, treating it as ERC‑1271-valid.
  • Why does this approach work?

    • You dodge shoving those hefty 3 KB signatures and the even bulkier key materials every time you validate.
    • Plus, you’re setting yourself up for future success with EIP‑8051. Once we get a Dilithium precompile in place, flipping the verifier to native will be a breeze.
  • Here are some practical steps you can take today:

    • HSM/KMS: AWS KMS is now on board with ML‑DSA keys, and Thales Luna has rolled out ML‑KEM, which is handy for HPKE/TLS and envelope encryption. (aws.amazon.com)
    • GPU acceleration: If you're dealing with handshake or signing throughput (think RPC gateways or code signing), check out NVIDIA cuPQC--it’s a game changer. With H100-class GPUs, you’re looking at 8-9.3M ML‑KEM operations per second and around 1M ML‑DSA‑65 signatures per second in batched mode. (developer.nvidia.com)

Stage 4 -- Put PQC into your data plane, not just the control plane (3-6 weeks)

  • Start by encrypting data in motion for bridges and indexers using HPKE (you'll want to go with ML‑KEM‑768 or the hybrid approach with X25519+ML‑KEM‑768, as laid out in the IETF draft). This step is crucial to protect against HNDL for the sensitive payloads that your business needs to keep safe for years. Check it out here: (datatracker.ietf.org).
  • When it comes to batch attestations--like those for compliance, supply chain, and firmware bills--that need to stand the test of time against quantum threats, consider using SLH‑DSA (SPHINCS+). Yes, they’re bulkier, but it’s worth it! Just remember to anchor them sparingly with Merkle roots or blobs (EIP‑4844) to steer clear of state bloat. More details can be found here: (nist.gov).

Stage 5 -- Governance, Keys, and Upgrades You Can Actually Operate (Ongoing)

  • Introduce Crypto-Agility:

    • Implement versioned “algorithm suites” in your AA validators and bridges: {classical}, {hybrid}, {pure PQ}.
    • Set up on-chain allowlists for ML-DSA public-key commitments, complete with admin upgrade timelocks.
  • Key Ceremonies:

    • Use PKCS#11/HSM profiles for ML-DSA keys and HPKE KEMs, and make sure to include plans for escrow and key rotation that’re in sync with CNSA milestones. Check out more details on this at nsa.gov.

Reference Architectures and Concrete Examples

When it comes to building systems, having a solid reference architecture can really help guide the way. These blueprints provide a high-level view of the components and how they connect, making it easier to understand and implement complex systems.

What is a Reference Architecture?

In simple terms, a reference architecture is a standard framework that outlines how different parts of a system should work together. It often includes:

  • Best Practices: Tried-and-true methods to follow.
  • Common Patterns: Recurring solutions to typical problems.
  • Architecture Models: Visual representations of the system's structure.

Why Use Reference Architectures?

Using a reference architecture can save you a ton of time and effort. Here are a few reasons why they come in handy:

  • Speed Up Development: They give you a head start since you're not starting from scratch.
  • Reduce Risks: Following established patterns can help avoid common pitfalls.
  • Enhance Communication: Having a shared framework makes it easier for teams to collaborate.

Concrete Examples

Let’s dive into a couple of examples to see how reference architectures come into play.

1. Microservices Architecture

Microservices allow you to break down applications into smaller, manageable services. Each service can be developed, deployed, and scaled independently. Here's a high-level view of what this could look like:

  • API Gateway: Manages traffic and routes requests to the correct services.
  • Service Discovery: Helps services find each other dynamically.
  • Database Per Service: Each microservice manages its own database, which enhances performance and scalability.

2. Serverless Architecture

This is all about building applications without worrying about the underlying infrastructure. With serverless architecture, you can focus on writing code. Here are some key components:

  • Functions as a Service (FaaS): Write functions that run in response to events.
  • Event Sources: Triggers like HTTP requests, database changes, or message queues initiate function execution.
  • Managed Services: Use services like AWS Lambda or Azure Functions to handle deployments and scaling.

Conclusion

Reference architectures are fantastic tools that can simplify the way we design and build systems. They offer a structured way of thinking about complex problems and can make your development process more efficient. Whether you're diving into microservices or exploring serverless options, having these guides can set you up for success!

1) ERC‑1271 Validator with PQ Receipt (Solidity Sketch)

Here's a quick look at how to implement an ERC-1271 validator that works with a PQ (Post-Quantum) receipt. Below is a simple Solidity sketch to get you started:

// SPDX-License-Identifier: MIT
pragma solidity ^0.8.0;

interface IERC1271 {
    function isValidSignature(
        bytes32 _hash,
        bytes memory _signature
    ) external view returns (bytes4);
}

contract PQReceiptValidator is IERC1271 {
    mapping(address => bytes) private signatures;

    // Store PQ receipt for each address
    function storePQReceipt(bytes memory _receipt) public {
        signatures[msg.sender] = _receipt;
    }

    // Implementation of ERC-1271
    function isValidSignature(
        bytes32 _hash,
        bytes memory _signature
    ) public view override returns (bytes4) {
        bytes memory storedSignature = signatures[msg.sender];
        return (compareSignatures(storedSignature, _signature) ? 
                this.isValidSignature.selector : 
                bytes4(0));
    }

    // A simple function to compare signatures
    function compareSignatures(bytes memory _stored, bytes memory _provided) private pure returns (bool) {
        return keccak256(_stored) == keccak256(_provided);
    }
}

Breakdown

  • Store PQ Receipt: You can save a PQ receipt for each address that calls the storePQReceipt function.
  • Signature Validation: The isValidSignature function checks if the provided signature matches the stored one for that address.
  • Signature Comparison: The compareSignatures function uses a hash comparison to check if the signatures are the same.

Feel free to expand on this base sketch to fit your specific needs!

interface IZKVerifier {
  function verify(bytes calldata proof, bytes32 msgHash, bytes32 pkCommit) external view returns (bool);
}

contract PQValidator is IERC1271 {
  address public immutable zkVerifier;
  mapping(bytes32 => bool) public allowedPkCommit; // keccak256(ML-DSA pk)

  bytes4 constant MAGICVALUE = 0x1626ba7e;

  constructor(address _verifier) { zkVerifier = _verifier; }

  function isValidSignature(bytes32 msgHash, bytes calldata pqReceipt) external view returns (bytes4) {
    (bytes memory proof, bytes32 pkCommit) = abi.decode(pqReceipt, (bytes, bytes32));
    require(allowedPkCommit[pkCommit], "pk not allowed");
    require(IZKVerifier(zkVerifier).verify(proof, msgHash, pkCommit), "bad pq proof");
    return MAGICVALUE;
  }
}
  • The zk circuit does its thing by verifying ML‑DSA off‑chain, which means only a tiny proof and a 32‑byte key commitment end up in the calldata. Since calldata is priced at 4/16 gas per byte (thanks to EIP‑7623), this approach is way more cost-effective than embedding PQ signatures and keys in every call. (eips.ethereum.org)

2) HPKE Hybrid Encryption for Bridge Payloads (Server)

  • Set up HPKE with KEM = X25519+ML‑KEM‑768; KDF = SHA‑3; and you can choose between AEAD = AES‑GCM or ChaCha20‑Poly1305 based on the draft. You can use either AWS‑LC or the OpenSSL 3.5.0 PQ build. Make sure to wrap things up at the gateway so your rollup engines can sail along without any changes. Check out the details here.

3) PQ-aware account abstraction with passkeys (today) and Dilithium (tomorrow)

To get started, deploy an EIP‑4337 validator that:

  • Accepts P‑256 signatures through the EIP‑7951 precompile (think passkeys or YubiKeys),
  • At the same time, takes in a zk‑verified ML‑DSA receipt to keep your high-value operations secure for the future,
  • Switches over to native ML‑DSA verification once an EIP‑8051-style precompile lands on your target chain(s). (eips.ethereum.org)

Sizing and Performance: What to Budget

When it comes to sizing and performance, it’s crucial to know what to expect so you can plan your budget wisely. Here’s a breakdown of key factors to consider:

1. Choosing the Right Size

Getting the right size for your needs can make a big difference in terms of performance and comfort.

  • Measure Twice: Always measure the space where you plan to use your new gear. This helps avoid any surprises later on.
  • Consider Growth: If you’re buying for a group or team, think about future growth. It’s usually worth investing in a bit more capacity than you currently need.

2. Performance Expectations

Each type of equipment comes with its own performance metrics. Make sure you keep these in mind while budgeting:

  • Power Output: Depending on your requirements, look for products that offer the right power level--after all, you want something that will perform well under pressure.
  • Efficiency Ratings: Higher efficiency often means lower running costs. It might be tempting to go for cheaper options, but investing in efficient products can save you money in the long run.

3. Budgeting for Accessories

Don't forget to consider accessories that enhance performance or usability. Here’s what to factor in:

  • Upgrades: Sometimes, it’s worth setting aside some budget for potential upgrades down the line.
  • Maintenance Costs: Regular maintenance can extend the life of your equipment, so include these costs in your budget.

4. Comparing Products

Do your homework! Look into different brands and models.

  • Read Reviews: Check out reviews from other users to get a sense of real-world performance.
  • Cost vs. Benefit Analysis: Sometimes spending a little more upfront can lead to huge savings down the road.

Conclusion

By keeping these points in mind, you’ll be well-equipped to make informed decisions on sizing and performance that suit your budget. Remember, investing a bit of time in research now can save you some headaches (and cash) in the future!

  • Sizes (NIST-final):

    • ML-KEM-768: pk 1184 B, sk 2400 B, ct 1088 B.
    • ML-DSA-44: pk 1312 B, sig 2420 B. (aws.amazon.com)
  • On-chain cost intuition:

    • Sending pk+sig in each call (~3.7 KB) can get pricey, even before you think about any tricks for pubkey materialization; repeating this just makes it worse. If your proposals need extra key material (like NTT-domain t1), you could easily rack up over 20 KB--those call-data floors from EIP-7623 are gonna hit hard. Instead, consider using zk receipts and just keep 32-byte commitments on the chain. (eips.ethereum.org)
  • Off-chain PQC at enterprise throughput:

    • OpenSSL 3.5.0 is all about those hybrid groups; AWS-LC FIPS has got ML-KEM in the mix. And hey, if you’ve got GPUs (like NVIDIA’s cuPQC), you can handle ML-KEM/ML-DSA at over 10M ops/s, which is perfect for handshake farms and CI code-signing. This way, you can keep your p95 latencies in check while meeting compliance needs. (helpnetsecurity.com)

Emerging Best Practices for 2026 Builds

  • Embrace the "hybrid now, PQ‑pure later" approach. Start using HPKE/TLS hybrids to tackle HNDL while you fine-tune those ML‑DSA workflows for long-term use--think things like firmware/code-signing and bridge attestations. Check out more details here.
  • Look to EIP‑7951 (P‑256) as your starting point for WebAuthn and consider EIP‑8051 (ML‑DSA) as your ultimate goal. Keeping signature verification under ERC‑1271/AA is a smart move--it allows you to swap out algorithms on the fly without having to redeploy your whole business logic. Find out more here.
  • For PQ attestations, go with blobs (EIP‑4844) or event logs. It’s best to only store Merkle roots/state commitments on-chain to keep that state growth in check. Learn more about it here.
  • When picking vendors, aim for those on a FIPS 140‑3 path. Options like AWS‑LC FIPS, CIQ NSS CAVP, and HSM firmware with ML‑KEM can help you speed through procurement. Get the scoop here.

How 7Block Labs Delivers: From Methodology to ROI

At 7Block Labs, we’re all about turning innovative ideas into solid results. Our approach is methodical, but we keep it flexible to ensure we hit your goals every time. Here's a sneak peek into our process and how we drive ROI for our clients.

1. Discovery Phase

We kick things off with a deep dive into your business. This means getting to know your goals, challenges, and the competitive landscape. We’ll chat with your team, analyze industry trends, and pull together all the insights we need to set a strong foundation for the project.

2. Strategy Development

Next up, we craft a tailored strategy that aligns with your vision. We’ll draw from our extensive experience and apply best practices to create a plan that resonates with your target audience. This is where the magic starts, as we combine creativity with data to ensure your strategy is both innovative and practical.

3. Implementation

Once we've got the strategy locked down, it’s showtime! Our talented team gets to work executing the plan. We prioritize transparency and communication, keeping you in the loop every step of the way. You’ll see how your vision comes to life, whether it’s through product development, marketing campaigns, or tech solutions.

4. Measurement & Optimization

After launching your initiative, we don’t just sit back and relax. We meticulously track performance metrics to gauge success and identify areas for improvement. Our goal is to optimize and refine the strategy continually to maximize returns, ensuring that every dollar spent is working its hardest for you.

5. ROI Realization

Finally, we focus on translating results into real-world ROI. We’ll provide you with clear reports and insights that showcase how our efforts have positively impacted your bottom line. This is where you can really see the fruits of our labor and understand the value we bring to your business.

Conclusion

At 7Block Labs, our methodology is all about collaboration and results. We’re here to help you navigate the complexities of innovation and achieve measurable outcomes. Ready to see how we can elevate your business? Let’s chat!

We connect cryptography engineers (like those skilled in Solidity, ZK, and PKCS#11) with product and procurement experts. Our deliverables are designed to align perfectly with RFP sections and enterprise controls.

  • Cryptographic architecture and implementation

    • We’ve got some upgraded kits and runbooks for HPKE/TLS that combine the best of both worlds. These come with solid builds for OpenSSL 3.5+/wolfSSL/AWS‑LC FIPS, including test matrices that match up against ML‑KEM parameter sets and KAT vectors. Check out more here.
    • For smart-contract validators (think ERC‑1271/EIP‑4337), we’re rolling out modular backends starting with P‑256 (that’s EIP‑7951 for those keeping track). They come with zk‑verified ML‑DSA receipts and can switch to native ML‑DSA precompiles once they’re available. If you want the details, head over to this link: here.
  • Toolchain and acceleration

    • We’re making waves with GPU-accelerated PQC for handshake farms and code-signing through NVIDIA cuPQC. This bad boy supports batched ML‑KEM/ML‑DSA, plus we've got CPU paths for AVX2/AVX‑512 to keep the general fleets running smoothly. For the techy details, take a look here.
  • Security audits and compliance

    • Our FIPS mapping packs are pretty handy; they link controls directly to sections of FIPS 203/204/205 and NIST SP guidance, plus they include advice for the CAVP/FIPS 140‑3 pipeline.
    • We also have OMB/CNSA 2.0 documentation ready to go: it includes cryptographic inventories, waiver templates, and milestone roadmaps that should fit right into enterprise procurement processes. Learn more about it here.

Proof: GTM Metrics We Aim For (What Your Exec Team Can Track)

Time-to-Readiness

  • We’re looking at getting that HPKE/TLS hybrid pilot shipped on your RPC ingress within 10 business days. This should help significantly lower HNDL risk with both packet capture and transcript pinning in place.
  • Plan for about 6 weeks to see an AA validator on the testnet that accepts P-256 (EIP-7951) along with zk-verified ML-DSA receipts, all set up with some canary users to test the waters.

Cost and Performance

  • Expect a 60-90% drop in CPU usage for PQ handshakes on gateway nodes when transitioning from a CPU-only setup to a cuPQC-assisted gateway tier. We’ll use your traffic as a baseline to publish the power and cost metrics per TPS. Check it out here: (developer.nvidia.com)
  • By switching to zk receipts, we're trimming down the calldata spend for PQ validations from multi-KB payloads to sub-KB proofs. We’ll keep you updated with the per-op gas deltas based on the current calldata floors (EIP-7623) for your specific environment. More info here: (eips.ethereum.org)

Procurement Acceleration

  • We’ll add those “PQC-ready” checkmarks in your security questionnaire during Sprint 1, covering FIPS 203/204/205 and CNSA 2.0 references. Plus, we’ll compile the evidence pack that your customers are looking for. You can find details here: (nist.gov)

Implementation checklist for your team this month

  • Prioritize transport: Let’s get that HPKE/TLS hybrid up and running with ML-KEM-768 at the API gateways. We’ll keep the classical ECDH in the mix according to IETF guidance. Check it out here: (datatracker.ietf.org)
  • Roll out AA validators: We need to implement AA validators that can handle P-256 through EIP-7951. Don’t forget to add a “PQ receipt” path via zk. Let’s test it out first with our ops/admin flows. More details here: (eips.ethereum.org)
  • For long-lived artifacts: When dealing with things like firmware, bridge policies, and audit logs, sign with ML-DSA/SLH-DSA off-chain. We’ll need to anchor these via Merkle roots on chain or blobs, but remember, no raw PQ signatures in storage. Get the full scoop here: (csrc.nist.gov)
  • Select vendors: It’s crucial to pick vendors that are on FIPS 140-3 tracks, like AWS-LC FIPS ML-KEM, CIQ NSS CAVP, and HSMs with ML-KEM. We want to avoid any hiccups with procurement. More info is available here: (aws.amazon.com)

Where 7Block Labs Fits In

FAQs we’re getting in 2026 (brief, in‑depth answers)

  • Do we need PQ signatures on every transaction now?

    • Nope! You can start with hybrid HPKE/TLS to tackle HNDL risk right away. Use PQ signatures only for those high-value attestations and admin tasks. Oh, and consider zk receipts to keep on-chain costs down. Just be ready for EIP-8051 precompiles, but don’t let them hold you back. (datatracker.ietf.org)
  • Which parameter sets?

    • Go with ML-KEM-768 for most transport stuff and ML-DSA-44 for general signatures. If you’re looking at really long-term needs, you can bump up to higher categories. These align with FIPS 203/204 defaults and CNSA 2.0 preferences. (aws.amazon.com)
  • Can our HSM/KMS do this?

    • Absolutely, by 2026 you’ll be covered in key areas! AWS KMS has your back with ML-DSA support; big HSM players like Thales Luna offer ML-KEM features; plus, OpenSSL 3.5.0/AWS-LC are PQ-aware. Just make sure to pick versions that have FIPS validation paths when you’re procuring. (aws.amazon.com)

The Bottom Line

  • The standards are set in stone now, and the guidance comes with specific dates. The vendor scene is all about FIPS-tracking. A smart approach would be to implement a “hybrid now, PQ-pure later” program utilizing zk receipts. This way, you can get quantum-resistant guarantees where they really count, all without blowing up L1 costs or throwing a wrench in your Q2/Q3 plans. Check it out here: (nist.gov).

Highly Specific CTA (seriously, we mean it)

Ready to take the next step? Book our 45-minute PQC Readiness Workshop for Rollups and RWA Platforms. In just 10 business days, we’ll tackle a few key things:

  1. We’ll take stock of your ECDSA/Ed25519/PKCS#11 footprint to help with OMB/CNSA reporting.
  2. We’ll set up an HPKE/TLS hybrid at one RPC ingress.
  3. We’ll deliver a testnet ERC‑1271 validator that works with P‑256 (EIP‑7951) and a zk‑verified ML‑DSA receipt--plus we’ll throw in a fixed-bid plan to integrate it into your stack.

And hey, if we don’t demonstrate a measurable drop in HNDL exposure and provide you with a clear gas budget for on-chain PQ attestations, you won’t owe us a thing!

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