Privacy and Confidentiality: 7Block Labs’ Secure Data Sharing

At 7Block Labs, we take privacy seriously. We understand that when it comes to sharing data, confidentiality is key. That's why we've put some reliable measures in place to ensure that your information stays safe and secure. Let’s dive into how we manage secure data sharing.

What We Offer

Encryption Techniques

All of your data is encrypted using cutting-edge techniques. This means that even if someone were to intercept your information, they wouldn't be able to read it without the proper decryption key.

Access Controls

We have strict access controls in place to make sure that only authorized personnel can view your data. This greatly reduces the risk of unauthorized access.

Regular Audits

We conduct frequent audits to ensure that our security measures are up to par. By regularly checking our systems, we can spot any weaknesses and fix them before they become issues.

Data Minimization

We believe in keeping data collection to a minimum. By only gathering what we absolutely need, we reduce the risk associated with storing unnecessary information.

How We Share Data Securely

1. Anonymization: We anonymize data wherever possible. This means that individual identities are removed, reducing privacy risks when data is shared for analysis or research.
2. Secure Protocols: Using secure protocols for data transfer is a must. We rely on protocols like HTTPS and secure FTP to ensure your data is transmitted safely.
3. Consent Management: We keep you in the loop about what data we collect and how it’s used. You have the final say, so your consent is always a priority.

What You Can Do

• Be Mindful of What You Share: Always think about the information you're providing. The less sensitive data you share, the better.
• Use Strong Passwords: Protect your accounts with strong, unique passwords, and consider using a password manager.
• Stay Updated: Keep an eye out for any security updates or changes in our policies. We’re constantly evolving to keep your data safe.

Conclusion

At 7Block Labs, we prioritize your privacy and confidentiality with robust strategies for secure data sharing. With encryption, access controls, and a commitment to minimizing data collection, you can trust us to handle your information with care. For more on our data practices, check out our Privacy Policy.

Your data security is in good hands!

"We can't ship because Legal won't sign off on data sharing."

• Your team is itching to combine first-party data with partners to run models, reconcile payments, or prove compliance. Engineering is ready to roll out the pipeline, but Legal is throwing up roadblocks because the design might leak PII or doesn't meet SOC 2 Type II evidence requirements.
• The current "tokenization" schemes? Well, they still need you to swap re-identifiable data with a third party, which totally goes against GDPR pseudonymisation guidelines (remember, pseudonymized data is still personal data if it can be linked back). This makes your Article 6(1)(f) legitimate interest route a lot trickier and could lead to more burdensome DPIAs. (edpb.europa.eu)
• And let’s not forget about the healthcare and financial services workflows--they're feeling the heat too! HHS has proposed its first big update to the HIPAA Security Rule since 2013, and it’s adding new mandates like MFA, segmentation, and encryption. This means higher audit standards and increased breach liability. (hhs.gov)
• On-chain proofs and payments are tricky business; they can leak your business logic in public mempools. Plus, AA (ERC‑4337) introduces some new vulnerabilities, like bundler simulation flaws and paymaster throttling, which means you'll need to design around these risks. (blog.openzeppelin.com)
• Confidential computing can be a lifesaver, but it's not a one-size-fits-all solution. SEV‑SNP and TDX environments need some careful attestation, and there have been some important advisories you can't ignore. Make sure you're planning for enclave/VM updates and operational attestation. (docs.cloud.google.com)

“Every month we fall behind means lost revenue and greater compliance risk.”

• Missed deadlines: Every time we face additional InfoSec and DPA scrutiny, it tacks on weeks to our timelines. Without a solid mapping of SOC 2 and NIST 800‑53A, our procurement cycles get stuck, and stakeholder confidence takes a hit. NIST’s updates for 2025 are all about ensuring software update integrity and solid assessment procedures--so you can bet auditors will want to see these put into practice. (csrc.nist.gov)
• Budget risk: Trying to rebuild pipelines after a GDPR or HIPAA review can cost you 3-5 times more than if you’d originally designed for privacy-by-default. Plus, if your data-sharing relies on raw joins, you’ll find your cloud expenses skyrocketing as you scramble to mask data late in the game.
• Reputation risk: Just one MEV or mempool leak can put your counterparties, pricing strategies, or even patient groups at risk; bundler misconfigurations in AA can be exploited before you even catch on. (blog.openzeppelin.com)
• Vendor lock-in: Relying on centralized "trusted" intermediaries means your data is stuck in their opaque silos. If they experience a breach or downtime, your analytics--and your revenue--come to a halt. Plus, clean-room or TEE deployments without verifiable attestation leave you with nothing but unprovable trust. (docs.aws.amazon.com)

7Block Labs’ Secure Data Sharing Methodology

We're all about blending cryptography, cutting-edge L2 infrastructure, and robust enterprise controls to deliver what Legal and Compliance teams crave for: solid proof. At the same time, we ensure that Product gets the quickness it needs to keep things moving smoothly.

1) Requirements and Control Mapping (SOC 2 + NIST + GDPR)

• Let’s whip up a privacy threat model and control matrix that lines up with:
  • SOC 2 TSC with the refreshed 2022 points of focus (Security, Availability, Confidentiality, Privacy). We’re all about pre-mapping proof artifacts to CC series, C1, and P criteria so when auditors come knocking, they see “evidence, not just promises.” Check it out here.
  • NIST SP 800‑53A Rev 5.2.0 and ZTA (SP 800‑207): these provide the controls and assessment procedures for ongoing authorization. Dive deeper here.
  • GDPR data minimization and pseudonymisation tips to keep joint processing above board while also managing re-identification risks. More on that can be found here.

2) Architecture Blueprint (privacy by design, not by NDA)

• Use ZK proofs for “attribute, not data” disclosures:
  • Think about sharing things like age, residency, sanctions checks, and eligibility proofs using ZK credentials (you know, like Polygon ID/Iden3-style flows) or zkEmail for domain/identity claims. The best part? No raw PII gets tossed around. (github.com)
• Route sensitive business logic to a privacy-first L2 when on-chain actions are needed:
  • Check out Aztec’s cool hybrid private/public execution with Noir. It lets you keep amounts or counterparties under wraps while still proving everything's legit. Plus, using local Sandbox/devnet flows really speeds up your internal POCs. (docs.aztec.network)
• Keep analytics off-chain in governed privacy environments:
  • How about utilizing AWS Clean Rooms ML for joint model training and inference without having to share raw data? AWS even claims you can see up to a 36% boost in lookalike accuracy compared to baselines. That’s a pretty sweet win for partner ROI without trading raw data. And if you’re into Snowflake, their Data Clean Rooms offer differential privacy with managed privacy budgets. (aws.amazon.com)
• Leverage TEEs where private proving or secret handling is required:
  • Nitro Enclaves paired with KMS attestation make sure your keys and provers only run in trusted code. For those ZK workloads, check out Succinct’s Prover Network that supports TEE-private proving, so you don’t have to reveal inputs to operators. (docs.aws.amazon.com)
• Harden wallet/key flows with MPC:
  • If you’re looking at enterprise custody or escrow, MPC is a game-changer. It wipes out single-key risks and aligns well with SOC2/ISO27001 expectations. Major institutions are already using it at scale, so you know it’s legit. (fireblocks.com)
• Optimize on-chain costs:
  • After the Dencun/EIP-4844 updates, blob transactions are slashing L2 data availability costs, sometimes even bringing fees down to sub-cent. That’s super important when you’re verifying proofs on a larger scale. (datawallet.com)

3) Implementation Tracks (working in parallel to meet our deadlines)

• Track A -- Identity/Consent
  We’re looking into using ZK technology for age/residency or domain ownership checks through Polygon ID/zkEmail. Our verifiers will operate on an L2, lining up with ERC‑4337 paymasters to make those partner interactions gasless. Check it out here: github.com.
• Track B -- Analytics & ML
  For our analytics, we're diving into Clean Rooms for ML training and inference. We’ll be keeping an eye on differential privacy budgets, along with signed query manifests and lineage. If you're curious, here’s more: aws.amazon.com.
• Track C -- Settlement & Incentives
  We’re focusing on private settlements using a privacy L2, specifically Aztec. Auditors can still peek behind the curtain thanks to selective disclosure. Plus, proofs will commit back to L1 for that finality, all while we keep costs down via 4844 blobs. Learn more here: docs.aztec.network.
• Track D -- Attestation & Ops
  We’re implementing enclave attestation to manage decryption or proving jobs using Nitro and KMS. We’ll be following Zero Trust Architecture patterns for solid network segmentation and policy enforcement. And yes, we’re also capturing evidence for SOC 2/NIST audits. More details can be found here: docs.aws.amazon.com.

4) Engineering Patterns that “Just Work”

• Modular smart accounts (ERC‑7579) built on top of ERC‑4337 make it easy to enforce policy modules like spend limits, time locks, and quorum rules without getting stuck with one vendor. This approach also leads to smoother reviews for auditors. Check it out here: ercs.ethereum.org.
• Go with OpenZeppelin Contracts 5.x--they’ve got namespaced storage and an AccessManager, plus some solid security advice for account abstraction. Using build-time checks and ensuring deployment reproducibility can really help cut down on risks when making changes. Dive deeper into it here: blog.openzeppelin.com.
• For private proving options, consider local Barretenberg/Noir, SP1 GPU proving, or TEE-private remote proving. Your choice will depend on how sensitive the data is and what kind of latency you can handle. More info can be found here: docs.succinct.xyz.
• When it comes to homomorphic analytics, we’re prototyping with Zama Concrete/TFHE‑rs. Benchmarks show they’ve really sped things up since 2021, making it a great fit for selective workloads. Want to know more? Check this out: zama.ai.

5) Compliance Evidence and Procurement Accelerators

• We create this handy “evidence binder” that maps everything out:
  • SOC 2 TSC controls (like the CC series for access/change, Confidentiality, Privacy) to real artifacts: think enclave attestation records, DP budgets, ZK verification logs, and 4337 policy modules. You can check it out here.
  • NIST 800‑53A procedures matched up with CI/CD checks and runtime monitoring for that sweet continuous authorization. More about it can be found here.
  • We also connect HIPAA NPRM expectations (you know, MFA, segmentation, encryption) to ZTA and enclave/KMS patterns. For more details, hop over here.

Practical, Current Examples (What We Deploy in 90 Days)

• Example 1 -- Cross-border pharma analytics (HIPAA/GDPR)
  • Here’s a cool scenario: partners train a risk model using AWS Clean Rooms ML without sharing any raw PHI. All the outputs get stored in a consented analytics bucket. They use a Zero-Knowledge proof to make sure the cohort meets the minimum k-anonymity and geography rules. Only the proof and some aggregate stats go on the chain for milestone payments. To keep things safe, data protection budgets are in place to stop any differencing attacks. You can check it out here.
  • On the operations side, Nitro Enclaves take charge of decrypting anything that might try to re-identify individuals. Plus, they verify attestation against the KMS policy before granting access. For more details, look here.
• Example 2 -- Retail media network attribution without raw join
  • In this example, advertisers and publishers connect audiences in Clean Rooms using entity resolution. They also do some lookalike modeling to increase their reach while keeping the data nice and siloed. Payments get processed through an Aztec contract that only shares aggregate conversions, supported by Noir proofs, and auditors can ask for selective disclosure when needed. The fees are super low, thanks to those EIP-4844 blobs. For more info, check it out here.
• Example 3 -- Vendor onboarding without email handoffs
  • With zkEmail, we can confirm control of “@supplier.com” and that the sender has signed off on a policy acknowledgment, all without needing to show the inbox contents. A 4337 smart account sets up a “compliance validator” module (ERC-7579) that holds up transactions until the proof is in place. You can check out the details here.

Technical Specification (What You Actually Get)

• Data Privacy Stack
  • Identity Proofs: We’re utilizing Polygon ID-style VC circuits or zkEmail JWT/DKIM proofs, supported by Noir/Circom/SP1 backends.
  • Analytics: For data analysis, we’re relying on AWS Clean Rooms ML and Snowflake Clean Rooms, both of which incorporate differential privacy and daily privacy budgets to keep your data safe.
  • Confidential Compute: We’re running on AWS Nitro Enclaves with KMS attestation, and there’s an option to go for GCP Confidential VMs with SEV‑SNP/TDX when it makes sense (along with attestation/version pinning). Check it out here.
• On-Chain Layer
  • L2: We’re using the Aztec privacy rollup for selective disclosure and compiling ZK logic in Noir. Plus, to keep costs down, we’re committing proofs to L1 using EIP‑4844 blob commitments. More details can be found here.
  • Accounts: Our accounts are based on ERC‑4337, which features ERC‑7579 modules for policy and recovery. We're also leveraging OZ Contracts 5.2 to manage guards, roles, and cross-chain utilities. Learn more about it here.
• Security Engineering
  • We’re following OpenZeppelin’s AA guidance for best practices, implementing fuzzing, and doing formal checks in our CI pipeline. If necessary, we also maintain private order flow to limit any potential intent leakage. You can read more about it here.
  • Post-Quantum Readiness: To get ahead of the curve, we’re starting with a hybrid key exchange for DevOps (think GitHub’s PQC SSH key exchange) and we’re keeping an inventory for crypto agility. Get the scoop here.

A cool pattern you can dive into today

• Access-controlled decryption with attestation (pseudocode)
  Imagine this: an enclave boots up, gets an attestation document, and the KMS only decrypts if the PCRs match the expected image. The decrypted key then powers up a ZK prover inside the TEE, which spits out a succinct proof and an audit log hash that gets sent on-chain. Check out more about it here.
• Minimal ZK verifier hook in Solidity (pattern)
  We’re keeping things neat on-chain: you just call verify(proof, publicInputs) → require(true); and then emit ProofVerified(commitmentHash, purposeTag). The storage writes are capped, which means blob-carrying transactions help keep those data availability costs low. You can read more about it here.
• Differential privacy guardrail
  Each analytics job comes with a signed template ID and dips into a daily privacy budget. If the budget checks fail, the process stops right there before any data can escape the clean room. For further details, you can check out this link.

Emerging Best Practices We Bake In

• “Proofs over data”: Instead of sharing raw joins, focus on cryptographic guarantees. This keeps your legal basis tidy under GDPR and makes your SOC 2 narrative a breeze. Check out more on this here.
• Modular smart accounts: The ERC‑7579 standard breaks down validation, execution, and recovery into auditable modules. This setup is a game-changer for procurement security questionnaires. Dive deeper into it here.
• Private proving when needed: You can offload some heavy Zero-Knowledge (ZK) work to GPU provers while keeping your inputs sealed with Trusted Execution Environments (TEEs). This way, you minimize the risk tied to cloud operators. Learn more here.
• Cost control via blobs: Keep your archive proofs off-chain and leverage EIP‑4844 blobs for data availability. The consensus layer will allow you to prune these in about a few weeks, eliminating any indefinite storage costs. Find out more about this here.
• ZTA everywhere: Implement identity-centric policies, segmented trust zones, and continuous verification processes for your HIPAA/SOC 2 reviews. For more info, check this out here.

What This Means for ROI and Procurement

• Faster go-to-market
  • We’re talking about a 90-day pilot here: identity proofs are up and running, a governed clean-room model is in place, and we’ve got one privacy-preserving settlement flow live on an L2.
• Lower variable cost
  • Thanks to EIP-4844, the fees for verifying and settling proofs on L2 usually come out to less than a cent. That means no surprise expenses for the CFO when scaling up! (coingecko.com)
• Shorter procurement cycles
  • With pre-mapped SOC 2 evidence (covering TSC 2017 + 2022 focus points) and NIST 800-53A procedures, we can cut down on all that back-and-forth with auditors and vendor risk teams. (aicpa-cima.com)
• Reduced breach impact
  • Even if a partner gets compromised, there's no raw dataset for them to steal; proofs and aggregates aren’t worth much to attackers.

How We Engage (and What You Can Dive Into Today)

• Architecture and delivery with our custom blockchain development services and verifiable data flows:
  • Check out our custom blockchain development services and web3 development services.
• Smart contracts and privacy circuits:
  • Take a look at our smart contract development and dapp development.
• Integration, TEEs, Clean Rooms, and enterprise systems:
  • Discover more about our blockchain integration.
• Security hardening and audit readiness:
  • If you're interested in fortifying your systems, check out our security audit services.
• Cross-chain coordination and settlement:
  • Explore our cross-chain solutions development for seamless interactions.

Implementation note: a brief, in‑depth slice

• Identity with zero leakage
  • With zkEmail, you can show that you control a regulated domain (like “@hospital.org”) and accept BAAs without giving away any of your mailbox contents. All you need to do is keep a proof and a purpose-bound commitment on Layer 2. If you pair this up with an ERC-7579 validator module, it’ll make sure that nothing gets spent or settled until you provide a fresh proof with the right purpose tag. Check it out here.
• Analytics with verifiable governance
  • Clean Rooms ML lets you train a model on shared data while keeping everything secure. The job manifest, DP parameters, and result hashes are all notarized on-chain. Thanks to privacy budgets, you won’t have to worry about query exhaustion or differencing attacks. Plus, proofs link released aggregates back to approved templates. Learn more about this on AWS.
• Private settlement
  • In Aztec, you can carry out private transfers that are connected to those aggregates. A Noir circuit will verify “payout equals rate × conversions” without leaking any sensitive counts. An auditor has the option to request a selective reveal that's tied to a specific case ID. Dive into the details here.
• Ops and compliance
  • Enclave/KMS attestation makes sure that any decryption or proofing involving sensitive inputs is gated. All logs are signed and stored to provide evidence for SOC 2 compliance, while ZTA ensures that access is segmented. To get the full scoop, check out the documentation here.

Bottom line

• Collaborating doesn’t mean you have to send raw data around. What you really need are cryptographic guarantees, confidential computing when it fits, and controls that auditors can easily follow.
• With 7Block Labs, your team can get those guarantees in just 90 days--plus, you'll enjoy lower ongoing costs, quicker procurement processes, and definitely fewer nights tossing and turning.

CTA: Schedule Your 90-Day Pilot Strategy Call

References (select external facts cited inline)

• Check out the EDPB's guidance on pseudonymisation and their clarifications on legitimate interest under GDPR. You can read more here.
• There’s a proposed update to the HIPAA Security Rule that’s making waves--keep an eye on that for December 27, 2024. More info can be found here.
• Wondering about EIP‑4844 and how it affects L2 fees? Dive into the details here.
• Check out the key takeaways regarding ERC‑4337 security and the latest updates on OZ Contracts for Account Abstraction here.
• For those interested in modular smart accounts, ERC‑7579 is worth a look. You can find the specifics here.
• If privacy on Layer 2 is your thing, take a peek at Aztec's offerings and their tooling for Noir over here.
• Get the scoop on AWS Clean Rooms ML and Snowflake Clean Rooms and how they tackle differential privacy here.
• There are some updates to NIST SP 800‑53A Rev 5.2.0 and their Zero Trust Architecture (SP 800‑207) that you might want to check out here.
• Lastly, if you’re interested in Nitro Enclaves KMS attestation or GCP's Confidential VM advisories, all the info is available here.

Book a 90-Day Pilot Strategy Call

Ready to kick things off? Let’s dive into a 90-Day Pilot Strategy Call! This is your chance to map out your goals and figure out the best game plan to reach them. I'm looking forward to brainstorming some fresh ideas together!

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