Building Effective Visibility into Technology Assets Used in Healthcare
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When technology just works, it’s easy to trust. But too often, we place our trust in technology that doesn’t deserve it. When we do this with technology to provide healthcare, we put the safety of patients and the security and reliability of our global healthcare system at risk.
The institutions that make up our global healthcare system also place their trust in cybersecurity measures and technology to keep their systems running and repelling the unceasing wave of attacks they face. We often hear about the institutions that succumb to cyberattacks, but we don’t read much about the institutions that have been successful at defending their digital perimeter, and ultimately protected their ability to treat and protect patients.
Why were some institutions successful and others not as much? What cybersecurity capabilities made the healthcare institution resilient from these attacks? As we covered in our previous post on how healthcare can strengthen its cybersecurity resilience, establishing visibility and antifragility practices are necessary to repel attackers and build trust in the security and reliability of the technology our global healthcare system relies on.
As we continue our series on healthcare and cybersecurity, we’ll focus next on establishing sustainable visibility mechanisms so cybersecurity teams working in our global healthcare system can secure and preserve patient care and safety.
Visibility is akin to a patient taking 20 different medications but their doctor only knows about 10 of them. That’s the current state of many healthcare organizations’ relationship to the technology used on their networks and systems: They aren’t always aware of what technology is in use, whether it has vulnerabilities, how serious those vulnerabilities are, or how one weakness could lead to another or cascade out of control.
Visibility maps those technology assets (including the software, hardware, configurations, protections, who built it, and where the component parts come from) and help prioritize the importance of those assets in keeping systems and networks secure, no matter how complex the healthcare organization’s use of technology might be.
Building effective visibility
Building visibility into technology assets requires a structured approach. As mentioned in the first blog in this series, using a guide like the NIST Cybersecurity Framework (CSF) provides an important mental model we can use to get a clear picture of the strengths and weaknesses of an organization’s cybersecurity risk profile, and how it applies to the assets the organization seeks to protect.
Cybersecurity author and leader Sounil Yu’s book Cyber Defense Matrix provides an important interpretation of the NIST CSF framework that can help us better understand what visibility we have into technology assets and how they are protected. Visibility is about more than just seeing all assets we have all at once. It’s also about understanding which assets are mission-critical and must be protected at all costs versus which ones are perhaps important but less crucial overall. Without the right balance, we end up trying to protect everything while not protecting what matters enough. This is where structural awareness comes in.
Structural awareness, or the conscious understanding and state of an organization’s assets, is established as one implements controls captured in the NIST CSF functions Identify and Protect. These controls focus on identifying assets, their bill of materials, their creators, their dependencies on other assets, the protections and vulnerabilities they have, and the threats they face. While visibility helps create an accurate map of technology assets, structural awareness builds on that visibility and answers questions such as, “What are the ways the threat actor could compromise that asset? What could be lost? How would it most likely happen? Would I know?”
Yu says that structural awareness is efficiently achieved with the help of automation, and is not as people-intensive as many practitioners, decision-makers, and executives might think. If a cyberattack is like an explosion, cybersecurity teams’ structural awareness helps them understand how the explosion could happen before (or ‘left of’) it goes ‘boom’.
It’s also important to remember that while structural awareness is related to situational awareness in some ways, they are different concepts. Situational awareness refers to mechanisms that are used to detect and respond to an event. Structural awareness mechanisms are ‘left of boom,’ or mechanisms that protect your assets so that events don’t happen. The goal is to stay ‘left of boom’ and avoid being ‘right of boom’. Being proactive in your protections and being ready to respond in either case is really important, nonetheless.
Thinking about assets in terms of users, devices, networks, applications and workloads and data (asset classes), and adopting mechanisms to discover assets of each type through visibility controls suggested by the NIST CSF, will lead to developing structural awareness. Structural awareness can help avoid the boom, but if the boom does happen, it can also help shape the situational awareness needed to react. The Cyber Defense Matrix is an ongoing project, and you can read more about it (and contribute to it) here.
Framing asset discovery for resilience
Cybersecurity teams must map out their organizations’ most critical healthcare services and systems that support them, but that’s easier said than done. Asset discovery can feel overwhelming. Trying to find, count, and audit the hardware, software, users, and data down to the component across even a small part of one’s technology footprint can feel like pushing a dead car up a steep hill. The way to make this easier is to prioritize this effort in the parts of the business where the impact of a quality or safety issue has the potential to create the most harm to the organization and those who depend on it.
A smart place to begin the process to find and evaluate the measurements that an institution uses to monitor those processes.
Healthcare providers: Start with the quality and safety measurements which must be submitted to various regulatory agencies in order to maintain licenses to operate.
- Health insurers: Look at the performance improvement metrics used to ensure subscriber benefits, quality requirements, and legal mandates are being met.
- Health IT services: Use service level agreements for measuring contract compliance with things like uptime, recovery time and point objectives, and response turnarounds.
- Life sciences organizations: Begin with the relevant Good Practice definitions and the metrics used to monitor quality and safety levels of products and services.
When analyzing the types of technology unique to healthcare – like network-connected medical devices such as infusion pumps, implantable pacemakers, ventilators, EKG equipment, and MRI machines – it’s important to ask what are the immediate safety hazards if there was a cyberattack. Not sure how to answer that question? The International Medical Device Regulators Forum produced a risk categorization model that could be helpful in framing that response. Operational technology, like blood bank and sample refrigerators, climate control, air handling, infection control and pneumatic tube systems, may also be used to identify and prioritize inventory efforts.
Once priorities have been set, teams can begin gathering data on critical services, the owners of those services, the systems those owners rely on, and the technology itself.
Inventory tactics on Google Cloud
Building service-technology mapping is not a one-time exercise. Organizations should take the time to automate inventory creation and maintenance, so they can maintain an up-to-date view of all the items in their environment at any given time. This is especially for organizations that have highly dynamic environments.
Google Cloud provides best practices on discovering and cataloging assets in its Cloud Architecture Center. Implement controls found in the Identity and Protect categories using the NIST Framework & Google Cloud technical paper. Automation is your friend when building and maintaining a complete and accurate inventory. Google Cloud Asset Inventory and Security Command Center can be used to inventory a variety of resources running in Google Cloud. Cloud Build, Google Cloud’s CI/CD platform, implements SLSA 1 and provides a trustworthy audit of software artifacts deployed through a managed pipeline. Cloud DLP inventories and labels data stored on Google Cloud Storage and services like BigQuery.
Meanwhile, a number of Google Cloud Marketplace partners have solutions that can help build a comprehensive inventory, and innovation continues to improve our technological options. One emerging field of security technology, called attack surface management, helps discover previously-unknown assets. Finally, our next blog on resilience discusses how to use a software bill of materials (also known by the breezy acronym SBOM) to gain visibility and structural awareness into applications.
It’s important to remember that when starting down this path, the goal is not to gain 100% visibility into every single component on every single device attached to every network supporting every service running. Success or failure is not achieved when the inventory process has reached an arbitrarily-determined ‘percentage complete.’ We want to prioritize expanding visibility and developing structural awareness on assets where safety and quality are at risk, so we can improve their resilience.
And finally, we feel it’s important to emphasize that in the past, healthcare industries have focused mainly on protecting the confidentiality of data. While that’s important, we must evolve security programs beyond protecting confidentiality as its primary (and some cases, only) focus.
To be resilient, we must design and build cybersecurity capabilities that deliver safety, integrity, and availability of the technology that cares for patients directly. As we gain visibility into the technology we depend on to keep us healthy, we improve our understanding about which parts of it we can trust, and which parts we can’t. Improving visibility is an important early step on our path to resilience.
Five Ways Cloud Computing Helps Companies Optimize Operations and Lower IT Costs
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There is no one way to recover. The past year has seen unprecedented challenges for business across the world, with social distancing and quarantine measures forcing many organizations to quickly adapt to remote working. A new report from BCG Platinion, titled “Finding a New Normal in the Cloud”, points out that while companies have done well to survive so far, the overall business environment is still a tough one with contracted economies and lowered revenues. CIOs have to find the right balance between technological innovation and lowering their cash burn rate.
The report identifies five key ways in which companies can use cloud computing to optimize their operations and reduce overall IT costs by as much as 10%.
1. Go beyond VPN
The BCG Platinion report states that companies need “rapid, efficient, highly scalable, and device agnostic solutions”. Traditionally, when employees had to work offsite, companies provided them with VPNs. But the sheer scale of the COVID-19 pandemic has shown these solutions to be expensive, slow, inconvenient, and hard to manage when entire workforces are working remotely.
Instead, BCG Platinion emphasizes the need for cloud-based solutions such as BeyondCorp Enterprise for more secure, more effective, lower cost remote access at scale. BeyondCorp Enterprise offers customers a zero trust platform for simple and secure access with continuous end-to-end protection that can be used on any device at any time. Deliveroo, a global food delivery company headquartered in the UK, uses BeyondCorp Enterprise to bring the zero trust model to its distributed workforce.
“Having secure access to applications and associated data is critical for our business,” says Vaughn Washington, VP of Engineering at Deliveroo. “With BeyondCorp Enterprise, we manage security at the app level, which removes the need for traditional VPNs and associated risks.”1
With a low cost cloud subscription model, BeyondCorp Enterprise eliminates the need for hardware, operating, and maintenance costs that come with VPN solutions and can also enable organizations to offer protection to the extended workforce at a fraction of the cost. BCG Platinion estimates that solutions like BeyondCorp Enterprise can save companies as much as 50% versus the cost of a traditional VPN.
2. Use SaaS to keep productivity up
With so much of the workforce fragmented due to social distancing measures, the need for seamless, efficient collaboration is greater than ever. According to BCG Platinion, a fully functional Software-as-a-Service productivity solution such as Google Workspace helps to “alleviate the traditional costs and burdens around availability, backup, and maintenance of on-premise collaboration infrastructure.” BCG Platinion analysts estimate that adopting a SaaS solution can lower computing costs for end users by up to 35%.
But working in the cloud does more than lower costs. The BCG Platinion report cites a 2020 study from Forrester that found adopting Google Workspace boosted revenue growth by 1.5%, reduced the need for on-demand tech support by 20%, and cut the risk of data breaches by more than 95%. Over the last year, companies of all sizes have looked on the conditions of the pandemic as an opportunity to change the way they work.
“Airbus has spent the past year thinking about what it actually means to return to work and we’re looking to support greater flexibility with Google Workspace in a leading role,” says Andrew Plunkett, Airbus Vice President Digital Workplace. “In 2020, we held 5.6M Google Meet sessions and we now have more than 70,000 shared Drives where people collaborate. Google Workspace has changed the way people work at Airbus and that will continue as the solution empowers the hybrid work reality.”2
3. Reduce IT overhead and management costs with cloud-first devices
Working in the cloud can be made even more effective with devices specifically designed for the cloud, says the BCG Platinion report. “Cloud-native devices such as Google’s Chromebooks and Chromeboxes are cost-effective, easy to deploy, simple to use, and highly secure,” says BCG Platinion. Additionally, with “thin client” devices, companies can save on hardware costs compared with traditional laptops and desktops.The report suggests that a thin client approach can produce savings of up to 25% in end-user technology and support.
Organizations and businesses of all sizes have found that Chrome OS and devices have greatly enhanced their capacity to work together in even the most challenging circumstances. Chrome OS provides employees with a modern experience and devices that stay fast, have built-in security, deploy quickly, and reduce the total cost of ownership. “Chromebooks are simple-to-use and cost-effective devices that do everything that our staff need them to do, which is mainly accessing Google Workspace online,” says Henry Lewis, Head of Platform for the London Borough of Hackney. “As soon as the Grab and Go Chromebooks were available, they were well used every day.”3
4. Lift and shift for easier transitions
While migrating to the cloud is a priority for many organizations to succeed, it does not have to happen all at once and in the same way. A total cloud migration can be a huge undertaking, involving redesigns of architecture and refactoring of applications. For many organizations, this process can take several months, even years.
But in times like these, CIOs need to make decisions quickly and reduce cash burn as much as possible. When resources are stretched and time is tight, BCG Platinion recommends a “lift-and-shift” approach for minimal disruption. With Google Compute Engine, for example, organizations can simply rehost their existing workloads on virtual machines without transformation. BCG Platinion reports that moving non-critical workloads to the cloud with lift-and-shift approaches can reduce IT spend by as much as 4% in just three months. Additionally, a quick, effective migration paves the way for more advanced IT infrastructure changes, creating effects that ripple long into the future.
5. Make data work for you with the cloud
Data is central to any industry and making the most out of it is more important now than ever before. With business as usual upended by the pandemic, organizations have turned to data for urgent tasks like demand forecasting or predicting supply-chain disruptions. A McKinsey report from last year points out that while many organisations had already started to engage with analytics and AI technologies, their progress was dramatically accelerated by the urgency of the pandemic: “Analytics capabilities that once might have taken these organizations months or years to build came to life in a matter of weeks.”
With the right setup a company can use data to drive efficiencies, respond quickly to its customers and open new markets. But big wins require huge amounts of information and powerful analytics, which means that effective data handling can be very difficult and expensive to do with on-premises architecture.
Moving to a cloud-based infrastructure minimizes infrastructure costs while opening up cutting edge techniques like machine learning for greater insight. The BCG Platinion report found that using a cloud-based data platform was not only cheaper and more efficient for businesses, but could result in a 70% increase in “effectiveness” which it defined as increased sales, lower costs of procured goods, and reduced inventory holding costs. “Moving to cloud provides competitive advantage as you scale innovation, accelerating the creation of new services to keep ahead of the competition,” explains Norbert Faure, Managing Director, Platinion Western Europe at Boston Consulting Group (BCG).
The key mission of any data platform is to make sure that the right people have access to the right information at the right time. Google Cloud helps to unify data across the entire business, increase agility, and innovate faster with a range of products. BigQuery runs complex analytics at infinite scale while helping organizations save up to 34% on the total cost of ownership compared with alternative cloud-based data warehouse solutions.4 Cloud Spanner provides a fully managed relational database that operates at 99.999% availability. Meanwhile, with Vertex AI, businesses can access the same groundbreaking machine learning tools that Google uses itself for unprecedented insight on a unified AI platform. “The whole Google Cloud suite of products accelerates the process of getting established and up and running, so we can perform the ‘bread-and-butter’ work of data science,” says David Herberich, VP, Head of Data at fintech startup Branch.5
Minimize costs today, innovate for tomorrow
As the world recovers from the pandemic, continued success depends on staying nimble and adaptive, argues the BCG Platinion report. Cloud computing can make companies more resilient by helping them to keep costs low, reducing overall IT spend by as much as 10% overall according to BCG Platinion. “For CIOs, cloud migrations can offer important near-term savings and benefits, while also reinvigorating progress toward the long-term goal of digital transformation.“
To learn more, read the full report from BCG Platinion.
1. BeyondCorp Enterprise: Introducing a safer era of computing
2. Building the future of work with Google Workspace
3. Hackney Council: Empowering 4,000 staff to keep serving their community from home
4. The Economic Advantages of Google BigQuery versus Alternative Cloud-based EDW Solutions
5. Fintech startup, Branch makes data analytics easy with BigQuery
Center for Internet Security’s Latest Benchmark for Securing Chrome
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As the way people work continues to evolve, keeping security policies in place that protect organizations but give workers the ability to get things done is more important than ever. IT and security teams must aim to stay a step ahead of web-based security threats that come their organization’s way. To help, the Center for Internet Security (CIS) team has released the latest CIS Benchmark 2.1 for Google Chrome. This Benchmark offers independent recommendations on which Chrome policies to configure to help support organizations’ security and compliance needs. Thanks to Chrome being built with security at its core, in many cases, Chrome default settings are aligned with CIS recommendations.
Chrome is secure by default, but we also pride ourselves on providing customizations for enterprises to allow Chrome to better fit the needs of their business. And with hundreds of policies available through Chrome Browser Cloud Management and Group Policy Objects (Note: The CIS Benchmark is also available as a GPO), organizations can do just that.
Throughout the CIS guide you’ll notice that there are different designations for configuration profiles. Any labeled Level 1, are considered to be a good baseline for an organization. Level 2 profiles are recommended for deployments that require the highest level of security, but note that these settings could have a trade off on user productivity. We recommend looking at each setting and determining if it’s a good fit for your business.
The benchmark is made up of five sections:
- Enforced Defaults — Notes policies that are configured by default when you install Chrome. Enforcing these settings at an enterprise level can prevent these settings from being changed by business users to less secure options.
- Attack Surface Reduction — Details how to disable web features that may not be necessary in your enterprise environment and could reduce your overall attack surface.
- Privacy — Surfaces settings that improve user privacy.
- Data Loss Prevention — Contains settings that can help prevent data loss and protect your organization’s data. (Note: These recommendations cover additional capabilities that can be added to Chrome through BeyondCorp Enterprise).
- Forensics (Post Incident) — Shares recommendations on policies that give insights into post incident forensics and analysis.
Organizations can use these benchmarks to optimize the best way to secure Chrome in their environment. Download the CIS Benchmark here and check out our team’s configuration guide for additional recommendations on how to configure Chrome.
Note: This benchmark was created using a consensus review process composed of subject matter experts. Consensus participants provide perspective from a diverse set of backgrounds such as consulting, software development, audit and compliance, security research, operations, government, and legal. While these recommendations come from a trusted source, it’s important for each organization to weigh which policies make the most sense for their business.
Google Cloud Accelerates Financial Organizations’ Journey towards Digital Transformation
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When I reflect back on the past year and the pandemic, I’m struck by how the reliance on remote work and operations has changed the fundamentals of business forever. For the financial services industry, this rings particularly true. Many conversations I’m having right now with organizations revolve around embracing a transformation cloud, and thinking of cloud computing not just as an infrastructure decision, but also as the locus for transformation throughout the company.
Today, as we welcome the industry to our Financial Services Summit, we’ll demonstrate just how Google Cloud accelerates a financial organization’s digital transformation through app and infrastructure modernization, data democratization, people connections, and trusted transactions. We hope you’ll join us.
How we’re helping financial services firms build their transformation clouds
At Google Cloud, we continue to focus on areas where we can bring the best of our capabilities to banking, capital markets, insurance, and payments customers around the world. Our work with financial services industry customers has given us a deep understanding of the real-world, specific use cases that matter most to them. This groundwork led us to engineer products and solutions that are open and flexible, not ones that force them to rip out existing investments in ERP or other early IaaS cloud implementations.
It’s why we’ve engineered solutions such as Lending DocAI, Open Banking with Apigee, and Datashare for financial services to help transform the industry. These solutions were created with our customers’ security and compliance top-of-mind and are built at the intersection of user-optimized experience, technology, and sovereignty.
At their core, financial institutions want to drive growth, reduce costs, mitigate risk, stay compliant, and increase efficiency. As a result, when we partner with them on their transformation journeys, we consider three essential focus areas:
- Enabling the human experience and connected interactions
- Building an open and intelligent data foundation for better insights
- Providing the most trusted and secure cloud in the industry
Enabling humans and connected interactions
A company’s transformation is about more than technology; people and culture ultimately drive change. HSBC, for example, recognized its business users would benefit from guided answers to common questions around risk policy compliance, and turned to Google Cloud to leverage AI and machine learning bots to assist employees, ease the burden on policy experts, and improve the user experience. Using Dialogflow, a core component of Contact Center AI, HSBC was able to build a conversational platform that quickly and accurately addresses user needs at scale.
Another example is Equifax, which used Google Workspace to support collaboration not only internally between employees, but also externally with customers. Customers can use Google Cloud solutions for financial services to build these sorts of technology-enabled human interactions quickly and easily—supporting organizational change at scale.
Building an open and intelligent data foundation for smarter, faster insights
The real impact of Google Cloud solutions for financial services comes when the whole company has access to the right information at the right time, and can act more intelligently on that data. Our solutions help businesses safely leverage their data and get a complete 360-degree view of their customers’ information, which can often be scattered across multiple systems (CRM, lending, credit, etc.). This helps financial institutions improve the overall customer experience—and sometimes even develop new products quickly.
Indeed, all financial institutions are looking for ways to grow revenue and reduce expenses, and data can be a critical ingredient to doing both effectively. As daily transactions rise, so does the volume and complexity of data. But to implement new customer experience innovations (and new revenue streams), financial institutions must first capture data effectively. This is why AXA Switzerland, for example, uses real-time analytics on Google Cloud to gain cross-industry insights about future trends and customer preferences.
Financial services organizations also need the confidence of building on a platform that provides choice, flexibility, and agility to move fast. It’s why we have an open cloud approach that allows Google Cloud services to run in different physical locations such as on-premises, other public clouds, and the edge. Customers can also harness the power of data and AI through our open APIs, machine-learning services, and analytics engines on any major cloud platform. This is why companies like Macquarie Bank are taking advantage of Google Cloud’s open, hybrid architecture to modernize and empower its developers.
Compliant and secure to address risk and regulatory needs
As a highly regulated industry, financial services is focused on security and compliance, risk and regulations, and fraud detection and prevention. Google Cloud offers unique capabilities to earn customers’ trust as part of our continuing work to be the most trusted cloud in the industry. Google Cloud provides a secure foundation that you can verify and independently control. Our cloud technology reduces risk and data loss, because it is built on comprehensive zero-trust architecture. Finally, we offer a shared-fate model built on best practices in risk management via automation, guidance, and insurance. This is why customers like BBVA have confidence anywhere their systems may operate.
On the regulatory front, global legislators and regulators continue to focus on the stability of the industry that only a decade ago went through one of the biggest liquidity crises in history. With this oversight comes strong expectations of risk mitigation. Google Cloud offers a single, global set of controls, reviewed by financial institutions and regulators around the world, and verified in collaborative audits—making compliance simpler and less costly for our customers.
Finally, Google Cloud allows financial services firms to operate confidently with advanced security tools that help protect data, applications, and infrastructure, as well as their customers from fraudulent activity, spam, and abuse. We help protect your data against threats, using the same infrastructure and security services we use for our own operations, ensuring you never have to trade-off between ease of use and security. Google Cloud encrypts data at-rest and in-transit. And we now also offer the ability to encrypt data-in use, while it’s being processed for customer VM and container workloads.
Let us help you with your transformation cloud journey
We’ve seen leading financial services companies embrace Google Cloud to help them move beyond infrastructure toward the next phase of their cloud evolution. This is an era where no company is better positioned to lead than Google Cloud, and we’re excited to help you with your journey.
Learn more about Google Cloud for financial services.
Launches and Stories on Google Cloud Security from Q1: Fresh off the Boat!
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The security world keeps changing, with new tools and new threats in the ever-evolving arms race that is cybersecurity. To keep you up to speed on all that Google Cloud is doing to help safeguard your data and your applications, welcome to the first installment of the Security Roundup. In this regular series, I’ll be sharing a selection of news and guidance to help ensure you have the resources you need for your hectic, high-stakes harm-preventing job.
Applying the principle of least privilege to GKE clusters
Access to your GKE clusters – just like any other resource – should be based on the principle of least privilege. Use groups, individual roles, and Identity and Access Management tools to limit who can do what with your Kubernetes clusters in Google Cloud. These principles can help you control who uses which elements of the Kubernetes API as well as how they access your clusters. More details are in Anthony Bushong’s video.
Ensuring CI/CD pipeline security
To make sure only trusted code artifacts enter your continuous integration and deployment pipeline, you can take advantage of Binary Authorization on Google Cloud, and then only permit signed builds to go through. Learn more in Martin Omander’s video interview and walkthrough with XIaowen Lin.
Protecting against denial of service and flooding attacks
Once your applications are on the web, they become potential targets for attack. You can use Cloud Armor to protect against many types of traffic attacks, including distributed denial-of-service (DDoS), and HTTP POST flood attacks. After learning the normal traffic patterns of your apps, Cloud Armor monitors for anomalies and then generates alerts or intervenes on your behalf to block malicious traffic. Learn more with Arman Rye in this video.
Defending against cyberattacks with Palo Alto Networks
If you use Palo Alto Networks products for endpoint protection or network monitoring, now you can integrate the signals from those systems into Google Cloud security tools. You can ingest device health conclusions from Palo Alto Networks Cortex XDR to boost your visibility into those endpoints’ state and improve your trust decisions. BeyondCorp Enterprise users can incorporate Cortex XDR metadata into access policies, leveraging additional posture information to add another level of trusted device information and operate with more confidence. Check out the details in this interview with Mason Yan at Palo Alto Networks.
Dealing with Apache Log4j 2 vulnerability(ies)
Attackers who exploit the Apache Log4j 2 vulnerability can execute arbitrary code on a vulnerable server. Read this post by the Google Cybersecurity Action Team for more details on log4j vulnerabilities (CVE-2021-44228 and CVE-2021-45046) and how you can find out if you’re affected. It includes advice for how to use Google Cloud products like Binary Authorization rules and Security Command Center to keep your cloud deployments safe.
Good luck out there, and remember: Keep your data yours!
Securing Sensitive Data in the Cloud: Google Cloud’s CDMC-Certified Solution
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As enterprises accelerate adoption of cloud-based services and products, they face a common challenge: How can they effectively secure and govern rapidly expanding volumes of their most sensitive data in new environments?
Today, Google Cloud released an architectural whitepaper and accompanying source code for a solution which successfully completed an assessment facilitated by KPMG LLP and has been accredited by the Enterprise Data Management Council (EDM Council) as a Cloud Data Management Capabilities (CDMC) Certified Cloud Solution. The architecture, which includes Google Cloud’s BigQuery and Dataplex Data Catalog, has been validated against CDMC’s control framework and can be used by new or existing Google Cloud clients wanting to migrate their sensitive data to the cloud with greater confidence.
“This is an exciting milestone for Google Cloud and the CDMC framework,” said John Bottega, president of EDM Council. “Google is advancing cloud adoption across all industries. Now as a CDMC Certified Cloud Solution, their clients can have the added certainty that Google’s architecture has the key controls and accepted best practices in place to protect their data in the cloud.”
Introducing CDMC
The CDMC framework, developed and published by EDM Council, provides a set of data management capabilities, standards, and best practices for securing their cloud implementations. Contributors to the framework include large global enterprises across regulated industries, major cloud service providers, technology service organizations, and advisory firms.
The EDM Council also provides a data management assessment framework which includes a framework composed of 14 key controls and corresponding assessment procedures, which are used to validate that sensitive data is being managed effectively. To become a CDMC Certified Cloud Solution, the Google Cloud team designed, implemented, and documented a reference architecture which met the control requirements and was then assessed by KPMG LLP.
Using the solution, customer data assets are automatically classified and tagged with business metadata, their lifecycle is managed, and a reporting engine that proactively scans and publishes findings provides security administrators information about misconfigurations and security issues via a single dashboard.
Who should use this framework?
- CDOs and CISOs: The CDMC framework provides a systematic approach to handling sensitive data in the cloud and is a good starting point for chief digital officer-level discussions around what governance and security controls should be applied to different types of sensitive data. The Google Cloud CDMC assets can help with determining practical scope and efforts needed to implement the CDMC controls within your organization.
- Data platform architects and engineers: The Google Cloud reference architecture provides reusable patterns that can be adopted and customized to suit the particular needs of your organization, as well as your existing architecture and technology stack.
- Data owners and data stewards: Once implemented, the resulting classification, automation, findings, and reports should reduce the manual burden of effectively governing sensitive data at scale.
Architecture
The architecture combines a number of Google Cloud’s services with built-in platform capabilities and data-protection services to protect data at scale.
These services include:
- BigQuery, which can fully manage a serverless data warehouse that enables scalable analysis for petabytes of data.
- Dataplex’s Data Catalog, which can fully manage highly scalable data discovery and metadata management with built-in data lineage features.
- Cloud Data Loss Prevention, which provides tools to classify and mask sensitive data.
- VPC Service Controls, which defines a security perimeter around Google Cloud resources to mitigate data exfiltration risks.
- Looker Studio, which provides a sample dashboard to visualize the overall health of the environment.
Additionally, the architecture leverages:
- Secure Data Warehouse Blueprint, which adheres to practices for data governance when creating, deploying, and operating a data warehouse in Google Cloud.
- Tag Engine, which automates the process of creating and populating metadata tags in Data Catalog.
The diagram below highlights the Google Cloud services used and how they mapped to the 14 CDMC key controls:
Further information
To get started, Google Cloud customers can:
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