home-assistant-beta

A few weeks ago the developers of the famous Home Assistant project reached out to us if we would work with them to secure their build and deployment process.

As an Open Source company ourselves, we immediately said yes, granted them a full license, activated the home-assistant.io organization, and supported the development team.

For Home Assistant security is enormously important and making sure that only origin and approved code and deployments are used is key. Eventually, hundred-thousands of deployments could be affected when a bad actor would tamper with home automation devices.

“Traditional digital certificates are some kind of ancient technology in a modern and agile development world. We don’t want to restrict ourselves to approve or revoke a certificate, we want to be able to revoke a certain dependency, build version, or container image. We were looking for the full content trust! When reading about CodeNotary’s service, it ticked all the right boxes and the integration was very smooth” said Pascal Vizeli, one of the core Developer around Home Assistant.

Within a very short amount of time, the Home Assistant team created their own GitHub actions to notarize the source code, builds, and container images within the CI process.

Furthermore, they integrated a verification process in their supervisor component that checks the origin and integrity of the running components.
The current beta release already contains this security enhancement.

Check out that great project https://github.com/home-assistant yourself and we’ll monitor and inform you about the news when CodeNotary Trusted DevOps is part of the upcoming production release.

If you’re running an Open Source project yourself and want to gain full content trust for your users as well, please ping us.

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Use Case - Tamper-resistant Clinical Trials

Goal:

Blockchain PoCs were unsuccessful due to complexity and lack of developers.

Still the goal of data immutability as well as client verification is a crucial. Furthermore, the system needs to be easy to use and operate (allowing backup, maintenance windows aso.).

Implementation:

immudb is running in different datacenters across the globe. All clinical trial information is stored in immudb either as transactions or the pdf documents as a whole.

Having that single source of truth with versioned, timestamped, and cryptographically verifiable records, enables a whole new way of transparency and trust.

Use Case - Finance

Goal:

Store the source data, the decision and the rule base for financial support from governments timestamped, verifiable.

A very important functionality is the ability to compare the historic decision (based on the past rulebase) with the rulebase at a different date. Fully cryptographic verifiable Time Travel queries are required to be able to achieve that comparison.

Implementation:

While the source data, rulebase and the documented decision are stored in verifiable Blobs in immudb, the transaction is stored using the relational layer of immudb.

That allows the use of immudb’s time travel capabilities to retrieve verified historic data and recalculate with the most recent rulebase.

Use Case - eCommerce and NFT marketplace

Goal:

No matter if it’s an eCommerce platform or NFT marketplace, the goals are similar:

  • High amount of transactions (potentially millions a second)
  • Ability to read and write multiple records within one transaction
  • prevent overwrite or updates on transactions
  • comply with regulations (PCI, GDPR, …)


Implementation:

immudb is typically scaled out using Hyperscaler (i. e. AWS, Google Cloud, Microsoft Azure) distributed across the Globe. Auditors are also distributed to track the verification proof over time. Additionally, the shop or marketplace applications store immudb cryptographic state information. That high level of integrity and tamper-evidence while maintaining a very high transaction speed is key for companies to chose immudb.

Use Case - IoT Sensor Data

Goal:

IoT sensor data received by devices collecting environment data needs to be stored locally in a cryptographically verifiable manner until the data is transferred to a central datacenter. The data integrity needs to be verifiable at any given point in time and while in transit.

Implementation:

immudb runs embedded on the IoT device itself and is consistently audited by external probes. The data transfer to audit is minimal and works even with minimum bandwidth and unreliable connections.

Whenever the IoT devices are connected to a high bandwidth, the data transfer happens to a data center (large immudb deployment) and the source and destination date integrity is fully verified.

Use Case - DevOps Evidence

Goal:

CI/CD and application build logs need to be stored auditable and tamper-evident.
A very high Performance is required as the system should not slow down any build process.
Scalability is key as billions of artifacts are expected within the next years.
Next to a possibility of integrity validation, data needs to be retrievable by pipeline job id or digital asset checksum.

Implementation:

As part of the CI/CD audit functionality, data is stored within immudb using the Key/Value functionality. Key is either the CI/CD job id (i. e. Jenkins or GitLab) or the checksum of the resulting build or container image.

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