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Securing apps using Anthos Service Mesh

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Discover how Google's Corp Eng leverages Anthos Service Mesh to create a unified, secure, and efficient platform for accessing a wide range of applications, transforming internal security and connectivity. Read more...

Hi there! I’m David Challoner from Access Site Reliability Engineering (SRE), here with Anthony Bushong from Developer Relations to talk about how Corp Eng is adopting Anthos Service Mesh internally at Google.

Corp Eng is Google’s take on “Enterprise IT”. A big part of the Corp Eng mission is running the first and third party software that powers internal business processes – from legal and finance to floor planning and even the app hosting our cafe menus – all with the same security or production standards as any of Google’s first party applications.

Googlers need to access these applications, which sometimes then need to access other applications or other Google Cloud services. This traffic can cross different trust boundaries which can trigger different policies.

Access SRE runs the systems that mediate this access, and we implemented Anthos Service Mesh as part of our solution to secure the way Googlers access these applications.

But why?

You can probably tell, but the applications Corp Eng is responsible for have disparate requirements. This often means that certain applications are tied to disparate infrastructure due to legal, business or technical reasons – which can be challenging when those infrastructures work and operate differently.

Enter Anthos. Google Cloud built Anthos to provide a consistent platform interface unifying the experience of working with apps on these varying underlying infrastructures, with the Kubernetes API at its foundation.

So when searching for the right tool to build a common authorization framework to mediate access to CorpEng services, we turned to Anthos – specifically Anthos Service Mesh, powered by the open-source project, Istio. Whether these services were deployed in Google Cloud, in Corp Eng data centers, or at the edge onsite at actual Google campuses, Anthos Service Mesh delivered a consistent means for us to program secure connectivity.

To frame the impact ASM had on our organization, it’s helpful to introduce the roles of the folks who manage and use it:

Figure 1 – Anthos Service Mesh empowers multiple people across different roles to connect services securely

For security stakeholders, ASM provides an extensible policy enforcement point running next to each application capable of provisioning a certificate based on the identity of the workload and enforcing mandatory fine-grained application-aware access controls.

For platform operators, ASM is delivered as a managed product, which reduces operational overhead by providing out-of-the-box release channels, maintenance windows, and a published Service Level Objective(SLO).

For service owners, ASM enables the decoupling of their applications from networking concerns, while also providing features like rate limiting, load shedding, request tracing, monitoring, and more. Features like these were typically only available for applications that ran on Borg, Google’s first-party cluster manager that ultimately inspired the creation of Kubernetes.

In sum, we were able to secure access to a plethora of different services with minimal operational overhead, all while providing service owners granular traffic control.

Let’s see what this looks like in practice!

The architecture

Figure 2 – High-level architecture for Corp Eng services and Anthos

In this flow, user access first reaches the Google Cloud Global Load Balancer [1], configured with Identity Aware Proxy (IAP) and Cloud Armor. IAP is the publicly available implementation of Google’s internal philosophy of BeyondCorp, providing an authentication layer that works from untrusted networks without the need for a VPN.

Once a user is authenticated, their request then flows to the Ingress Gateway provided by Anthos Service Mesh [2]. This provides additional checks that traffic flows to services only when the request has come through IAP, while also enforcing mutual TLS (mTLS) between the Anthos Service Mesh Gateway to the Corp services owned by various teams.

Finally, additional policies are enforced by the sidecar running in every single service Pod [3]. Policies are pulled from source control using Anthos Config Management[4], and are propagated to all sidecars by the managed control plane provided by Anthos Service Mesh[5].

Managing the mesh

If you’re not familiar with how Istio works, it follows the pattern of a control plane and a data plane. We talked a little bit about the data plane – it is made up of the sidecar containers running alongside all of our service Pods. The control plane, however, is what’s responsible for updating these sidecars with the policies we want to enforce:


Figure 3 – High-level architecture for Istio

Thus, it is critical for us to ensure that the control plane is healthy. This is where Anthos Service Mesh gives our platform owners a huge advantage with its support for a fully-managed control plane. To provision cloud resources, like many other companies, our organization uses Terraform, the popular open-source infrastructure as code project. This gave us a declarative and familiar means for provisioning the Anthos Service Mesh control plane.

First, you enable the managed control plane feature for GKE by creating the google_gke_hub_feature resource below using Terraform.

resource "google_gke_hub_feature" "feature_asm" {
name = "servicemesh"
location = "global"
provider = google-beta
}

Keep in mind that at publication time, this is only available via the google-bet provider in Terraform.

Once created, we then provision a ControlPlaneRevision custom resource in a GKE cluster to spin up a managed control plane for ASM in that cluster:

apiVersion: mesh.cloud.google.com/v1alpha1
kind: ControlPlaneRevision
metadata:
  
name: asm-managed
  
namespace: istio-system
spec:
  
type: managed_service
  
channel: regular

Using this custom resource, we are able to set the release channel for the ASM managed control plane. This allows for our platform team to define the pace of upgrades in accordance with our team’s needs.

In addition to managing the control plane, ASM also provides management functionality around the data plane to ensure each sidecar Envoy is kept up to date with the latest security updates and is compatible with the control plane – one less thing for service operators to worry about. It does this using Kubernetes Mutating Admission Webhooks and Namespace labels to modify our Pod workload definitions to inject the appropriate sidecar proxy version.

Syncing mandatory access policies

With the core Anthos Service Mesh components in place, our security practitioners can define consistent, mandatory security policies for every single GKE cluster, using Istio APIs.

For example, one policy is enforcing strict mTLS between Pods using automatically provisioned workload identity certificates. Earlier, we talked about how this is enforced between the Istio Gateway; that same policy enforces mTLS between all Pods in our cluster.

Figure 4 – A high-level diagram of mutual TLS

Another policy we implement is denying all egress traffic by default, requiring service teams to explicitly declare their outbound dependencies. The following is an example of using an Istio Service Entry to allow granular access to a specific external service – in this case, Google. This helps prevent unintended access to external services.

apiVersion: networking.istio.io/v1alpha3

kind: ServiceEntry
metadata:
  
name: google
spec:
  
hosts:
  - www.google.com
  
ports:
  - number: 443
    
name: https
    
protocol: HTTPS
  
resolution: DNS
  
location: MESH_EXTERNAL
EOF

These policies are automatically synced to all service mesh namespaces in each cluster using Anthos Config Management. By using our internal source control system as a source of truth, Anthos Config Management can sync and reconcile policies across all of our GKE clusters, ensuring that these policies are in place for every single one of our services. You can find more details about our implementation of Anthos Config Management here.

With this in place, our team plans on eventually migrating away from security automation that operates solely based on explicit IP, port and protocol policies.

Integration with Identity-aware Proxy

The publicly available version of the BeyondCorp proxy used by CorpEng is called Identity-aware Proxy (IAP), which offers an integration with Anthos Service Mesh. IAP allows you to authenticate users trying to access your services and apply Context-Aware-Access policies. This integration comes with two main benefits:

  • Ensuring that user traffic to services in the service mesh only come through Identity-aware Proxy
  • Enforcing Context-aware access (CAA) trust levels for devices, defined by multiple device signals we collect

Identity-aware Proxy allows us to capture this information in a Request Context Token (RCToken), which is a JSON Web Token (JWT) created by Identity-aware Proxy that can be verified by ASM. IAP inserts this JWT into the Ingress-Authorization header. Using Istio Authorization Policies similar to the following policy, any requests without this JWT are denied:

apiVersion: security.istio.io/v1beta1
kind: AuthorizationPolicy
metadata:
name: iap-gateway-require-jwt
namespace: istio-system
spec:
selector:
matchLabels:
app: istio-iap-ingressgateway
action: DENY
rules:
- from:
- source:
notRequestPrincipals: ["*"]


Here is an example policy that requires a fullyTrustedDevice access level – this might be a device in your organization that is known to be corporate-owned, fully-updated, and running an IT-approved configuration :

apiVersion: security.istio.io/v1beta1
kind: AuthorizationPolicy
metadata:
  name: require-fully-trusted-device
  namespace: fooService
spec:
  selector:
    matchLabels:
      app: fooService
  action: ALLOW
  rules:
  - from:
    - source:
       requestPrincipals: ["*"]
    when:
    - key: request.auth.claims[google.access_levels]
      values: ["accessPolicies/$orgId/accessLevels/fullyTrustedDevice"]

This allows our security team to not only secure service to service communications, or outbound calls from services, but also specifically require incoming requests come from trusted devices and authenticated users using a trusted device.

Enabling service teams

As an SRE, one of our priorities is ensuring Service-level indicators (SLIs), SLOs, and Service-level agreements (SLAs) exist for services. Anthos Service Mesh helps us empower service owners to do this for their services, as it exposes horizontal request metrics like latency and availability to all services in the mesh.

Before Anthos Service Mesh, each application had to export these separately (if at all). With ASM service owners can easily define their Service’s SLOs in the cloud console or via terraform using these horizontally exported metrics. This then allows us to integrate SLOs into our higher-level service definitions so we can enable SLO monitoring and alerting by default. You can see the SRE book for more details on SLOs and Error budgets.

The takeaway

ASM is a powerful tool that enterprises can use to modernize their IT infrastructure. It provides:

  • A shared environment-agnostic enforcement point to manage security policy
  • A unified way to provision identities, describe application dependencies

This also enables previously unheard of operational capabilities such as distributed tracing or incremental canary rollouts – which were difficult to find in the typical enterprise application landscape.

Because it can be incrementally adopted and composed with existing authorization systems to close gaps – barriers to adoption are low and we recommend you start evaluating it today!

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Ahead of the Curve: 5 Data and AI Trends Set to Shape 2023

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Google Cloud's 2023 Data and AI Trends report lists five trends: unified data cloud, open data ecosystems, embracing AI tipping point, insights infusion, and exploring unknown data. Learn how to integrate these trends into your business strategy.

How will your organization manage this year’s data growth and business requirements? Your actions and strategies involving data and AI will improve or undermine your organization’s competitiveness in the months and years to come. Our teams at Google Cloud have an eye on the future as we evolve our strategies to protect technology choice, simplify data integration, increase AI adoption, deliver needed information on demand, and meet security requirements. 

Google Cloud worked with* IDC on multiple studies involving global organizations across industries in order to explore how data leaders are successfully addressing key data and AI challenges. We compiled the results in our 2023 Data and AI Trends report. In it, you’ll find the metrics-rich research behind the top five data and AI trends, along with tips and customer examples for incorporating them into your plans. 

1: Show data silos the door

Given the increasing volumes of data we’re all managing, it’s no surprise that siloed transactional databases and warehousing strategies can’t meet modern demands. Organizations want to improve how they store, manage, analyze, and govern all their data, while reducing costs. They also want to eliminate conflicting insights from replicated data and empower everyone with fresh data.

A unified data cloud enables the integration of data and insights into transformative digital experiences and better decision making.

Andi Gutmans, GM and VP of Engineering for Databases, Google Cloud

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In the report, you can learn how to adopt a unified data cloud that supports every stage of the data lifecycle so that you can improve data usage, accessibility, and governance. Inform your strategy by drawing on organizations’ examples such as a data fabric that improves customer experiences by connecting more than 80 data silos, as well as other unified data clouds that save money and simplify growth. 

2: Usher in the age of the open data ecosystem

Data is the key to unlocking AI, speeding up development cycles, and increasing ROI. To protect against data and technology lock-in, more organizations are adopting open source software and open APIs.

Organizations want the freedom to create a data cloud that includes all formats of data from any source or cloud.
-Gerrit Kazmaier, VP and GM, Data & Analytics, Google Cloud

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Understand how you can simplify data integration, facilitate multicloud analytics, and use the technologies you want with an open data ecosystem, as described in the report. Learn from metrics about global open source adoption and public dataset usage. And explore how global companies adopted open data ecosystems to improve patient outcomes, increase website traffic by 25%, and cut operating costs by 90%.

3: Embrace the AI tipping point

Pulling useful information out of data is easier with AI and ML. Not only can you identify patterns and answer questions faster but the technologies also make it easier to solve problems at scale.

We’ve reached the AI tipping point. Whether people realize it or not, we’re already using applications powered by AI—every day. Social media platforms, voice assistants, and driving services are easy examples.

June Yang, VP, Cloud AI and Industry Solutions, Google Cloud

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Organizations share how they’re reaching their goals using AI and ML by empowering “citizen data scientists” and having them focus on small wins first. Gain tips from Yang and other experts for developing your AI strategy. And read how organizations achieve outcomes such as a reduction of 7,400 tons per year in carbon emissions and a more than 200% increase in ROI from ad spend by using pattern recognition and other AI capabilities. 

4: Infuse insights everywhere

Yesterday’s BI solutions have led to outdated insights and user fatigue with the status quo, based on generic metrics and old information. Research shows that as new tools come online, expectations for BI are changing, with companies revising their strategies to improve decision making, speed up the development of new revenue streams, and increase customer acquisition and retention by providing individuals with needed information on demand.

Organizations are equipping business decision-makers with the tools they need to incorporate required insights into their everyday workflows.

Kate Wright, Senior Director, Product Management, Google Cloud

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In the report, you’ll discover why and how data leaders are rethinking their BI analytics strategies and applications to improve users’ trust and use of data in automated workflows, customizable dashboards, and on-demand reports. Global companies also share how they improve decision making with self-service BI, customer experiences with IoT analysis, and threat mitigation with embedded analytics.

5: Get to know your unknown data

Increasing data volumes can make it harder to know where and what data they store, which may create risk. Case in point: If a customer unexpectedly shares personally identifiable information during a recorded customer support call or chat session, that data might require specialized governance, which the standardized storage process may not provide.

If you don’t know what data you have, you cannot know that it’s accurately secured. You also don’t know what security risks you are incurring, or what security measures you need to take.

Anton Chuvakin, Senior Staff Security Consultant, Google Cloud

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Check out the report to learn about data security risks that are often overlooked and how to develop proactive governance strategies for your sensitive data. You can also read how global organizations have increased customer trust and productivity by improving how they discover, classify, and manage their structured and unstructured data.  

Be ready for what’s next

What’s exciting about these trends is that they’re enabling organizations across industries to realize very different goals using their choice of technologies. And although all the trends depend on each other, research shows you can realize measurable benefits whether you adopt one or all five.

Review the report yourself and learn how you can refine your organization’s data and AI strategies by drawing on the collective insights, experiences, and successes of more than 800 global organizations. 

Case Study

The SolarWinds Attack: A Case Study in Supply Chain Threats

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The SolarWinds attack exposed the vulnerability of supply chains to cyber threats. Two years later, we examine the ongoing impact and discuss how to strengthen supply chain security to prevent similar attacks.

Our quarterly Security Talks series brings together experts from Google Cloud Security teams and the industry to share information on our latest security products, innovations and best practices. Below is an introduction to Mandiant’s Security Talks presentation on Dec. 7, Mandiant Tales from the Front Lines: Activate Cyber Defenses Against Supply Chain Compromise.

The discovery in December 2020 of the SolarWinds supply chain compromise, a global computer intrusion campaign, caused organizations and security leaders to completely reassess their Cyber Threat Profiles, risk assessments, and defensive postures. It was a rare, watershed event that savvy security leaders and IT decision makers have been using to improve how security teams protect systems, networks, and data across industries and sectors, especially critical infrastructure. Two years later, we’re looking back at the security incident, what we’ve learned, and how it continues to drive change across security teams and organizations.

The SolarWinds compromise leveraged access to the software maker’s Orion business software in order to distribute a malicious update containing malware. Mandiant has since attributed this operation to APT29, a Russia-based espionage group assessed to be sponsored by the Russian Foreign Intelligence Service (SVR). This operation afforded APT29 with unparalleled access to an estimated 18,000 global organizations for follow-on targeting based on the attacker’s discretion and collection priorities.

While the security industry has yet to see anything that rivals the scale and scope of the SolarWinds compromise since it was discovered, a recent Google Cloud research report on software supply chain security found that there’s been a sharp increase in software supply chain attacks across nearly every sector.

Mandiant analysis identified supply chain compromise as the second-most prevalent initial infection vector in 2021. When the initial infection vector was identified, supply chain compromise accounted for 17% of intrusions in 2021 compared to less than 1% of intrusions in 2020. Further, 86% of supply chain compromise intrusions in 2021 were related to the SolarWinds breach.

Since 2020, Mandiant has also observed an increase in financially-motivated threat actors targeting the software supply chain. These actors compromised popular software packages and even mobile applications in order to deploy ransomware, cryptocurrency miners, and banking trojans. In one case, malicious code was inserted into a popular package, prompting the U.S. Cybersecurity and Infrastructure Agency (CISA) to issue an alert about the compromise.

Mitigation recommendations

The discovery of the SolarWinds incident resulted in increased global attention around supply chain compromise threats. Government authorities and technology organizations have responded with several initiatives, legislation, and studies seeking to reduce software supply chain and software dependency risk. Although these initiatives may make it more difficult for threat actors to conduct these operations, organizations should also take steps to mitigate supply chain threats.

Mandiant suggests that organizations contemplate applying multiple layers of security policies, plans, and solutions to maximize opportunities to provide early threat detection and prevent an anomaly or compromise stemming from the supply chain. This guidance is aligned with best practices Google Cloud has recommended for organizations to improve their software supply chain security.

Mandiant has also provided the following additional recommendations for organizations to consider more generally:

  • Establish a vendor vetting process to evaluate vendor security practices before deploying hardware or software.
  • Create a change control process and board for all enterprise hardware and software changes, which could include a centralized IT or IT security managed process for downloading, testing, and pushing updates to users.
  • Use an advanced endpoint security solution, such as an endpoint detection and response (EDR), to detect malicious behavior when a tainted software package is downloaded and executed.
  • Ensure proper logging and monitoring is in place between the software, hardware, and the internet.
  • Implement the software and hardware using network segmentation with minimal access to the internet.
  • Enact employee training programs and policies to encourage security best practices, including security audits of code in development.

Next steps

You can watch the Google Cloud Security Talks presentation on SolarWinds and the current state of supply chain threats here. You can learn more about Google Cloud’s solutions to help improve software supply chain security here, or for more general inquiries, please contact us or reach out to your sales representative to learn how we can assist.

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Nine Interesting Google Cloud Identity and Environment Features to Know About!

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A Googler gave his perspective on Google Cloud's identity and environment and has 9 things to say why it is awesome! Read the blog to get started with Google Cloud's identity and environment experience, design, simplicity and other aspects.

I’ve been at Google Cloud just a few weeks, following years of experience as an AWS Hero and building on other clouds. So last week’s Google Cloud Next–my first!—was a bit of a culture shock. On the GCP podcast, I used the word “intentionality” to describe what I’m seeing: a thoughtful, holistic approach that informs so much of how Google Cloud is put together. Not just in the headline-grabbing new announcements like Google Distributed Cloud, but in the everyday things too. 

Things like IAM and project setup. Step 1 of any cloud project is to provision access to an environment, and that’s why I always found it so frustrating in my past life when I had to deal with outdated or clunky stuff like:

  • Homebrewed, sketchy SSO tooling and config files
  • No centralized identity—I was a different person in every cloud account
  • Mysterious logouts, redirects, and missing project context within the cloud console
  • Account organization features that were “bolted-on” rather than designed the right way from the beginning

In contrast, I recently shared a Twitter thread about how shockingly right Google Cloud gets identity and environments. It’s probably my favorite thing about Google Cloud so far, and so in this post I want to expand on what I’ve learned. If you’re searching for a better way to access and organize your cloud, let me make you one of today’s lucky 10,000.

Nine things to love about Google Cloud identity and environments

1. You are YOU!
Every user is just a Google account (personal or corporate) that works across projects. For beginners, this lowers the barrier to entry and makes cloud feel like an extension of things you already know. For experts, it reduces the friction of having to juggle a bunch of unrelated identities. I love that you can permit any Google account into a cloud project as a collaborator—even a contributor from outside your organization! 

2. No non-IAM root accounts
Google Cloud has been designed from the ground up to avoid the chicken/egg problem of requiring a manually configured superuser that sits outside the rest of the identity management infrastructure. In the Google world, humans use Google accounts, and services use IAM-based service accounts —it’s as straightforward as that. (Even non-Google services can be IAM—yay, workload identity federation!)  

3. Project discovery for humans
Project, folder, and organization discovery are baked into the console, like browsing a file system scoped to your access level. This hardly even feels like a feature, it’s so subtle and yet absolutely fundamental. But once you see it, you can’t imagine going back to a world where environments exist in a vacuum with no contextual awareness of each other. 

The hierarchical organization model also means that project-per-application-per-environment best practices are the path of least resistance; if anything, I’ve erred on the side of setting up *too many* logical groupings. It’s just too much fun to play with projects and folders!

4. Billing that protects you from yourself
The project context gives you a logical container for the cost of the resources contained within it. My favorite part of this is that your billing entity is managed separately from the project itself. So you can delete a project and feel sure that all associated resources are gone and no longer racking up charges … without also trashing your ability to pay for future projects you might spin up. 

(Related: the free tier does not charge you money unless you click a big button that basically says “YES, IT’S OK TO CHARGE ME MONEY.” This guarantee, combined with the familiarity of Google Accounts for access, are the main reasons I now recommend Google Cloud to beginners in my network who are looking for a safe place to learn and explore cloud.)

5. Organizational structure != billing structure
For organizations, billing is decoupled from the organization root. So permissions inheritance is a separate design decision from chargeback, as it should be. This keeps your Google Cloud footprint from converging toward Conway’s Law.

Organizational structure.jpg

6. SSO that just works
Want to use the CLI? You get SSO out of the box with your Google Account—no corporate organization required, and no manual shuffling with config files and access keys. Or, better yet, you can use Cloud Shell to run gcloud commands right in your browser, even (especially?) on the docs pages. (Random trivia: I think Cloud Shell is the only native cloud service that has the same name across AWS, Azure, and Google Cloud–but Google’s version has been around the longest and as far as I can tell is the most fully-featured.) 

7. One group to rule them all
Remember how user entities are just Google accounts? Guess what: you can use Google Groups to manage group access to IAM roles! That’s right: one set of users with permissions across docs, email, and cloud. It’s one reason why Google Workspace makes sense as a core piece of Google Cloud; it really does function like just another cloud service from an identity standpoint. 

8. Never lose your place
In other clouds, I’ve experienced a problem I call the Timeout of Doom: when your console session expires, you’re left on a generic error screen and it’s up to you to figure out how to rebuild your context from scratch–starting with remembering what account you used in the first place. Imagine my delight to realize that reaching your Google Cloud console is as easy as bookmarking a single URL. console.cloud.google.com works and remembers who you are (or, at least, suggests the set of people you might be)—no mystery logouts or redirects.

9. Progressive complexity FTW
In my experience it’s been common for cloud providers to design most of their account features for organizations: if you’re an independent developer, you get more exposure to dangerous bills, less access to helpful SSO features, and generally must fend for yourself in a world that wasn’t really created with you in mind.

I love that Google Cloud has found a way to work with enterprises while still maintaining their roots as a cloud that developers love to use. Sign in with your personal Google account, attach it to an organization when-and-if you’re ready, and in the meantime you get the same thoughtfulness around SSO and billing as the giant shop down the street. 

I’m not going to tell you my experience has been seamless; there are footguns here (every Google Workspace integration creates a new project?), and I’m still learning. But it’s that “intentionality” thing again. The Google Cloud identity and environment experience feels like it was designed, not just accreted; there’s an elegant simplicity to it that makes cloud feel fresh and exciting to me all over again. I can’t wait to see what’s next.

In the meantime, I highly encourage you to do what I did and spin up a free trial to try things out for yourself. Then hit me up on Twitter with your favorite Google Cloud identity or environment feature!

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Towards Superior Cybersecurity: How SLSA and SBOM Help Build a Resilient Healthcare Industry

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Better technology enables better care for patients. In this blog, explore how SBOM & SLSA help make a resilient healthcare system that is safe for patients and establish awareness about the modern healthcare cybersecurity infrastructure.

Taking prescription medication at the direction of anyone other than a trained physician is very risky—and the same could be said for selecting technology used to run a hospital, to manage a drug manufacturing facility and, increasingly, to treat a patient for a medical condition.

To pick the right medication, physicians need to carefully consider its ingredients, the therapeutic value they collectively provide, and the patient’s condition. Healthcare cybersecurity leaders similarly need to know what goes into the technology their organization’s use to manage patient medical records, manufacture compound drugs, and treat patients in order to keep them safe from cybersecurity threats.

Just like prescription medication, careful vetting and selection of the technology is required to ensure patient safety and establish visibility and awareness into the technology modern healthcare depends on to create a resilient healthcare system.

In this and our next blog, we focus on two topics critical to building resilience – software bill of materials (SBOM) and Google’s Supply chain Levels for Software Artifacts (SLSA) framework – and how to use them to make technology safe. Securing the software supply chain, or where the software we depend comes from, is a critical security priority for defenders and something Google is committed to helping organizations do.

Diving deeper into the technology we rely on

Cybersecurity priorities for securing healthcare systems usually focus only on protecting sensitive healthcare information, like Protected Health Information (PHI). Maintaining the privacy of patient records is an important objective and securing data and systems plays a big role in this regard.

Healthcare system leadership and other decision makers often depend on cybersecurity experts to select technologies and service providers that can meet regulatory rules for protecting data as a first (and sometimes only) priority. Trust is often placed on the reputations and compliance programs of the vendors who manufacture the technology they buy without much further inspection. Decision makers need to approach every key healthcare and life science technology or service provider choice as a high-risk, high-consequence decision, but few healthcare organizations have the skills, resources, and time to “go deep” in vetting the security built into the technology they buy before it enters a care setting.

Vetting needs to include penetrating analysis of all aspects of software and hardware, their architecture and engineering quality, the provenance of all parts that they’re made of, and assessing each component for risk. Doing this can sometimes require deep technical skills and advanced knowledge of medical equipment threats that may not be easy to acquire. Instead of making additional investments to help secure their networks and systems, many organizations choose simpler paths.

The failure to properly assess technological susceptibility to risk has exposed healthcare organizations and their patients to a variety of safety and security issues that may have been preventable. PTC (formerly Parametric Technology Corporation, which makes medical device software) disclosed seven vulnerabilities in March that impacted equipment used for robotic radiosurgery. In October 2019, the VxWorks Urgent 11 series of vulnerabilities was announced, affecting more than 1 billion connected devices, many used throughout healthcare and life sciences. More examples of medical devices and software found to have vulnerable components can be found on the FDAs cybersecurity website and in its recall database.

How a physician understands, selects, and prescribes medication parallels how we address these concerns when selecting technology. Recent FDA guidance suggests manufacturers must soon provide increased levels of visibility into the technologies they market and sell in the healthcare industry. Here’s where the SBOM, a key visibility mechanism, comes in.

What SBOMs do well, and how Google is helping make them better

The National Telecommunications and Information Administration defines the SBOM as a “nested inventory for software, a list of ingredients that make up software components.”

The concept of a SBOM appears to have found its start in enabling software makers back in the 1990s, although it originally stems from ideas popularized by visionary engineer and professor W. Edwards Deming. SBOM as a concept has advanced since then, with multiple standards for generating and sharing them now in use.

Thanks to the continued focus on improving and using SBOMs, we expect it will be much easier for defenders to use SBOMs to track software and its components, where they come from, what security vulnerabilities they contain, and equip protectors with their ability to stop those vulnerabilities from being exploited, at scale, and before they impact patient care.

“Software bills of materials help to bridge the knowledge gap created by running unknown, unpatched software and components as too many healthcare organizations currently do,” says Dan Walsh, chief information security officer at VillageMD, a tech-driven primary-care provider. “For security leaders, SBOM should be an extension of their asset inventory and management capability, regardless of whether that software was bought or built. At VillageMD, we are asking our vendors that store, transmit, receive or process PHI for an SBOM as part of our third-party vendor assessment program.”

Today’s SBOMs are most often basic text files generated by a software developer when the creation of software is complete and a product is assembled (or application is created from source code.) The text file contains information about the product’s software components and subcomponents, where those components and subcomponents came from, and who owns them. But unlike a recipe used to make a pharmaceutical, for example, an SBOM also tracks the software versions of components and subcomponents. SBOMs often capture:

  • Supplier Name
  • Component Name
  • Version of the Component
  • Other Unique Identifiers
  • Dependency Relationship
  • Author of SBOM Data
  • Timestamp


Here’s the format of a SBOM generated using the SPDX v2.2.1 standard:


Technology producers, decision makers, and operators in any industry can use this information to deeply understand the risks the products pose to patients and the health system. An SBOM, for example, can show a reader if the software used on a medical device is merely out of date, or vulnerable to a cyber attack that could affect its safe use.

Google sponsors a number of initiatives focused on securing the software supply chain, including how to use SBOMs, through our work with U.S. government agencies, the Open Source Security Foundation, and Linux Foundation, including a project focused on building and distributing SBOMs. Learn about the SPDX project and Cyclone DX, read the ISO/IEC 5962:2021 standard (for SPDX), ISO ISO/IEC 19770-2:2015 (for SWID; another artifact that provides a SBOM), and other training resources from the Linux Foundation.

As an additional measure, healthcare organizations which use SBOM need to make sure they can trust that the SBOMs they rely on haven’t been changed since the manufacturer produced it. To defend against this, software makers can cryptographically sign their SBOMs making it easier to identify if a SBOM has been maliciously altered since it was first published.

While U.S. Executive Order 14028 created a federal mandate for the SBOM, and although many organizations have begun to incorporate that mandate into their software production workflows, many issues and roadblocks remain unresolved. At Google, we think the use of SBOM will help organization’s gain important visibility into the technologies that are entering our healthcare facilities and enable defenders to more capably protect both patient safety and patient data privacy.

Digging into the SLSA

We believe resilient organizations have resilient software supply chains. Sadly no single mechanism, like SBOM, can achieve this outcome. It’s why we created the SLSA framework, and services like Assured Open Source Software. SLSA was developed following Google’s own practices for securing its software supply chain.

SLSA is guidance for securing software supply chains using a set of incremental, enforceable security guidelines that can automatically create auditable metadata. This metadata will then result in a “SLSA certification” to a particular package or build platform. It’s a verifiable way to assure consumers that the software they use hasn’t been tampered with, something which doesn’t exist broadly today. We’ve recently explained more about how the SLSA works in blog posts on SLSA basics and more in-depth SLSA details.

Similarly, Assured Open Source Software gives organizations the ability to use the same regularly tested and secured software packages Google uses to build its software. Used in combination with a SBOM, technology makers can build reliable, safe, and verifiable products. Most technology buyers, such as those who run your local healthcare system, can use those same mechanisms to gain visibility into a technologies’ safety and fitness for use.

Where do we go from here?

Visibility into the components that make up the technology we use to care for patients is critically necessary. We can’t build a resilient healthcare system if our only priority is privacy of data. We must add resilience and safety to the list of our top priorities. Gaining deep visibility into the technology that decorates health system networks is a critical shift we must make. SBOM and SLSA help us make this shift. But remember, it’s not one or the other. As Dan Walsh from VillageMD says, the SBOM has a way to go:.

“It won’t solve all of your problems,” he cautions, but adds that when used correctly, “SBOM will help you improve visibility into the software that runs on the critical systems that keep societies safe and we’re excited to see it get traction.”

But when complemented with SLSA and topics we’ll cover next, such as a Vulnerability eXploitability Exchange (VEX), we are on a path to greater resilience.

Blog

Strategic Consulting, Training & Implementation Guidelines with Public Sector PSO Helps Governments Stay Compliant

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Google Cloud's Public Sector Professional Service Organization (PSO) is dedicated towards helping enterprises meet their cloud security and compliance needs by offering consulting. Read about Google Cloud's commitment towards scaling cloud adoption!

Did you know that by 2025, enterprise IT spending on public cloud computing will overtake traditional IT spending? In fact, 51% of IT spend in application software, infrastructure software, business process services, and system infrastructure will transition to the public cloud, compared to 41% in 20221.. As enterprises continue to rapidly shift to the cloud, government agencies must prioritize and accelerate security and compliance implementation.

In May 2021, the White House issued an Executive Order requiring US Federal agencies to accelerate cloud adoption, embrace security best practices, develop plans to implement Zero Trust architectures, and map implementation frameworks to FedRAMP. The Administration’s focus on secure cloud adoption marks a critical shift to prioritizing cybersecurity at scale. Google Cloud’s Public Sector Professional Services Organization (PSO) has committed to helping customers meet security and compliance requirements in the cloud through specialized consulting engagements.

Accelerating Authority to Operate (ATO)


The Federal Risk and Authorization Management Program (FedRAMP) was established in 2011 as a government-wide program that promotes the adoption of secure cloud services across the federal government. FedRAMP provides a standardized approach to security and risk assessment for cloud technologies and federal agencies. US Federal agencies are required to utilize and implement FedRAMP cloud service offerings as part of the “Cloud First” federal cloud computing strategy.

While Google Cloud provides a FedRAMP-authorized cloud services platform and a robust catalog of FedRAMP-approved products and services (92 services and counting), customers are still tasked with achieving Agency ATO for the products and services they use, and Google Cloud provides many resources to assist customers with this journey. Google Cloud’s FedRAMP package can be accessed by completing the FedRAMP Package Access Request Form and submitting it to info@fedramp.gov. Additionally, customers can use Google’s NIST 800-53 ATO Accelerator as a starting point for documenting control implementation. Finally, Google Cloud’s Public Sector PSO offers the following strategic consulting engagements to help customers streamline the Agency ATO process.

  • Cloud Discover: FedRAMP is a six-week interactive workshop to support customers that are just getting started with the ATO process on Google Cloud. Customers are educated on FedRAMP fundamentals, Google’s security and compliance posture, and how to approach ATO on Google Cloud. Through deep-dive interviews and design sessions, PSO helps customers craft an actionable ATO plan, assess FedRAMP readiness, and develop a conceptual ATO boundary. This engagement helps organizations establish a clear understanding and roadmap for FedRAMP ATO on Google Cloud.
  • FedRAMP Security Review is a ten to twelve week engagement that aids customers in FedRAMP operational readiness. PSO consultants perform detailed FedRAMP architecture reviews to identify potential gaps in NIST 800-53 security control implementation and Google Cloud secure architecture best practices. Findings from the security reviews are shared with the customer along with configuration guidance and recommendations. This engagement helps organizations prepare for the third-party or independent security assessment that is required for FedRAMP ATO.
  • Cloud Deploy: FedRAMP is a multi-month engagement designed to help customers document the details of their FedRAMP System Security Plan (SSP) and corresponding NIST 800-53 security controls, in preparation for Agency ATO on Google Cloud at FedRAMP Low, Moderate, or High. PSO collaborates with customers to develop a detailed technical infrastructure design document and security control matrix capturing evidence of the FedRAMP system architecture, security control implementation, data flows and system components. PSO can also partner with a third-party assessment organization (3PAO) or an independent assessor (IA) to support customer efforts for FedRAMP security assessment. This engagement helps customer system owners prepare for Agency ATO assessment and package submission.

Developing a Zero Trust Strategy


In addition to providing FedRAMP enablement, Public Sector PSO has partnered with the Google Cloud Chief Information Security Officer (CISO) team to assist organizations with developing a zero trust architecture and strategy.


Zero Trust Foundations is a seven-week engagement co-delivered by Google Cloud’s CISO and PSO teams. CISO and PSO educate customers on zero trust fundamentals, Google’s journey to zero trust through BeyondCorp, and defense in depth best practices. The CISO team walks customers through a Zero Trust Assessment (ZTA) to understand the organization’s current security posture and maturity. Insights from the ZTA enable the CISO team to work with the customer to identify an ideal first-mover workload for zero trust adoption. Following the CISO ZTA, PSO facilitates a deep-dive Zero Trust Workshop (ZTW), collaborating with key customer stakeholders to develop a NIST 800-207 aligned, cloud-agnostic zero trust architecture for the identified first-mover workload. The zero trust architecture is part of a comprehensive zero trust strategy deliverable that is based on focus areas called out in the Office of Management and Budget (OMB) Federal Zero Trust Strategy released January 2022.

Scaling Secure Cloud Adoption with PSO


Public Sector PSO enables customer success by sharing our technical expertise, providing cloud strategy, implementation guidance, training and enablement using our proven methodology. As enterprise IT, operations, and organizational models continue to evolve, our goal is to help government agencies accelerate their security and compliance journeys in the cloud. To learn more about the work we are doing with the federal government, visit cloud.google.com/solutions/federal-government.

1 Gartner Says More Than Half of Enterprise IT Spending in Key Market Segments Will Shift to the Cloud by 2025

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