At Google Cloud, we work tirelessly to give our customers increased levels of control and visibility over their data. We’ve come out with new capabilities for data encryption, network security, security analytics, and user protection designed to deliver on that promise. 

External Key Manager: Store and manage encryption keys outside of Google Cloud

We give enterprises a broad range of encryption options so you can appropriately balance risk, control, security, and operational complexity when protecting your cloud workloads.

Google Cloud encrypts customer data at-rest by default and offers customers multiple options to control and manage their encryption keys. Today, we’re pleased to announce the next level of control with our new External Key Manager. Coming soon to beta, External Key Manager works with Cloud KMS and lets you encrypt data in BigQuery and Compute Engine with encryption keys stored and managed in a third-party key management system deployed outside Google’s infrastructure. External Key Manager allows you to maintain separation between your data at-rest and your encryption keys while still leveraging the power of cloud for compute and analytics.

To make this new service easy to implement, we are working with five industry-leading key management vendors: Equinix, Fortanix, Ionic, Thales and Unbound.

Key Access Justifications: Decide when and why your data can be decrypted 

We believe that trust in the cloud is created through transparency. Google Cloud led the industry in providing meaningful transparency into provider access to customer data, and now we’re extending that transparency to use of encryption keys. Key Access Justifications is a new feature that will work with External Key Manager. It provides a detailed justification each time one of your keys is requested to decrypt data, along with a mechanism for you to explicitly approve or deny providing the key using an automated policy that you set. 

Using External Key Manager and Key Access Justifications together, you can deny Google the ability to decrypt your data for any reason. As a result, you are the ultimate arbiter of access to your data–a level of control not available from any other cloud provider. Key Access Justifications is coming soon to alpha for BigQuery, and Compute Engine/Persistent Disk and covers the transition from data-at-rest to data-in-use. Customers interested in becoming early adopters can sign up here.

These new encryption innovations complement other recently released encryption options:

• Customer-managed encryption keys for Cloud SQL, now generally available (GA)
• Customer managed encryption keys for GKE persistent disks, a beta feature for Google Kubernetes Engine (GKE)
• Application layer secrets encryption in GKE, a GA feature which enables envelope encryption for your Kubernetes secrets
• Key import for Cloud HSM, a GA feature which lets users generate and use their own keys with Google Cloud’s managed HSM service
• Cloud HSM availability in all Google Cloud regions and multi-regions (with the exception of global multi-region)

All these updates offer you more control over how your data is protected.  

Defend against internet threats

When you stand up applications on Google Cloud, you benefit from DDoS and web attack protection at Google scale. Google Cloud Armor works with our global Cloud Load Balancing infrastructure and provides always-on attack detection and mitigation so you can run your business without interruption. 

Today, we’re pleased to announce the beta of Cloud Armor’s new web application firewall (WAF) capabilities to help protect applications against targeted and distributed internet threats. You can now configure Cloud Armor policies with geo-based access controls, pre-configured WAF application protection rules to mitigate OWASP Top 10 risks, and a custom rules language to create custom Layer-7 filtering policies.

Cloud Armor also now integrates with Cloud Security Command Center (Cloud SCC), notifying customers of suspicious application traffic patterns directly in the Cloud SCC dashboard.

Collect and inspect network traffic at scale

As networks grow in complexity, monitoring traffic helps you manage performance and security. In public cloud environments however, capturing network traffic reliably at scale for monitoring has been a challenge. 

Our new Packet Mirroring service, now in beta, allows you to collect and inspect network traffic for Compute Engine and GKE; it’s available for all machine types in all of our regions. With this service, you can use third-party tools to more proactively detect threats, better respond to intrusions with signature-based attack detection, and better identify zero-day attacks with anomaly detection. For more, watch this video.

We’ve built an ecosystem of partners so you can use Packet Mirroring with third-party tools of your choice, including products from Awake Security, Check Point, Cisco, Corelight, cPacket Networks, ExtraHop Networks, Flowmon, Ixia by Keysight, Netscout, and Palo Alto Networks.

Protect G Suite and Cloud Identity users

Google’s Advanced Protection Program is our strongest protection for users at risk of targeted attacks. In the enterprise, this includes IT administrators and executives. Today, the Advanced Protection Program is starting to roll out to G Suite and Cloud Identity customers. With the Advanced Protection Program for the enterprise, we’ll enforce a specific set of policies for enrolled users including security key enforcement, blocking access to untrusted apps and enhanced scanning for email threats. Learn more.

We’re also introducing app access control, helping you reduce the risk of data loss by limiting access to G Suite APIs to third-party apps you trust. You can also more easily manage and restrict which Google APIs are available for use by third-party and customer-owned apps, and see which apps are verified by Google. Learn more.

Benefit from unique Google threat intelligence in Cloud Security Command Center

We continue to build products that help our customers benefit from the techniques we’ve developed to defend Google. Whether you are using Cloud Security Command Center to improve your security posture on GCP, or Chronicle Backstory to monitor your data on premise or in other clouds, we’re packaging threat detection and prevention capabilities that are available only from Google, and giving them to you.

Event Threat Detection, now in beta, helps you detect threats targeting your cloud resources using logs, so you can send incidents to your SIEM (Security Information and Event Management system) for further investigation. Event Threat Detection relies on Google threat intelligence to help you spot and stop threats before they result in business damage or loss. 

Security Health Analytics helps you prevent incidents by identifying potential misconfigurations and compliance violations in your GCP resources and suggesting appropriate corrective action.

As we continue to innovate and simplify security management on GCP, Event Threat Detection and Security Health Analytics will be bundled in a Premium Edition of Cloud Security Command Center with other new capabilities that help you meet industry compliance requirements, catch web application vulnerabilities, detect compromised VMs, and discover other threats. The Premium Edition will give you a comprehensive, easy-to-deploy set of tools to protect your cloud resources. To learn more about how to use Cloud Security Command Center, check out our recent video series. 

Chronicle: security analytics wherever your apps are deployed

Chronicle’s Backstory product was designed by former Google security professionals to enable anyone to use the types of techniques we use to detect threats and investigate security incidents. It brings world-class strengths in data analytics to your security data, privately and easily.

Many organizations leverage a mix of on-prem environments and multiple clouds to run their applications, making it difficult to collect and store security telemetry from various systems and tie individual events together for analysis. Backstory, our flagship offering for hybrid security analytics, offers you this level of intelligence. With just a few clicks, in minutes, you can aggregate and analyze your security telemetry wherever your apps may run, and where they might run in the future.

Compute Engine is a customizable compute service that lets you create and run virtual machines on Google’s infrastructure. You can create a Virtual Machine (VM) that fits your needs. Predefined machine types are pre-built and ready-to-go configurations of VMs with specific amounts of vCPU and memory to start running apps quickly. With Custom Machine Types, you can create virtual machines with the optimal amount of CPU and memory for your workloads. This allows you to tailor your infrastructure to your workload. If requirements change, using the stop/start feature you can move your workload to a smaller or larger Custom Machine Type instance, or to a predefined configuration.

Machine types

In Compute Engine, machine types are grouped and curated by families for different workloads. You can choose from general-purpose, memory-optimized, compute-optimized and accelerator-optimized families. 

• General-purpose machines are used for Day-to-day computing at a lower cost and for balanced price/performance across a wide range of VM shapes. The use cases that best fit here are web serving, app serving, back office applications, databases, cache, media-streaming, microservices, virtual desktops, development environments.
• Memory-Optimized machine are recommended for ultra high-memory workloads such as in-memory analytics and large in-memory databases such as SAP HANA 
• Compute-Optimized machines are recommended for ultra high performance workloads such as High Performance Computing (HPC), Electronic Design Automation (EDA), gaming, video transcoding, single-threaded applications.
• Accelerator-Optimized machines are optimized for high performance computing workloads such as Machine learning (ML), Massive parallelized computations and High Performance Computing (HPC)

How does it work?

You can create a VM instance using a boot disk image, a boot disk snapshot, or a container image. The image can be a public operating system (OS) image or a custom one. Depending on where your users are you can define the zone you want the virtual machine to be created in. By default all traffic from the internet is blocked by the firewall and you can enable the HTTP(s) traffic if needed. 

Use snapshot schedules (hourly, daily, or weekly) as a best practice to back up your Compute Engine workloads. Compute Engine offers live migration by default to keep your virtual machine instances running even when software or hardware update occurs. Your running instances are migrated to another host in the same zone instead of requiring your VMs to be rebooted. 

Availability

For High Availability (HA) Compute Engine offers automatic failover to other regions or zones in event of a failure. Managed instance groups (MIGs) help keep the instances running by automatically replicating instances from a predefined image. They also provide application based autohealing health checks. If an application is not responding on a VM, the auto healer automatically recreates that VM for you. Regional MIGs let you spread app load across multiple zones. This replication protects against zonal failures. MIGs work with load balancing services to distribute traffic across all of the instances in the group. 

Compute Engine offers autoscaling to automatically add or remove VM instances from a managed instance group based on increases or decreases in load. Autoscaling lets your apps gracefully handle increases in traffic, and it reduces cost when the need for resources is lower. You define the autoscaling policy for automatic scaling based on the measured load, CPU utilization, requests per second or other metrics.

Active Assist’s new feature, predictive autoscaling, helps improve response times for your applications–When you enable predictive autoscaling, Compute Engine forecasts future load based on your Managed Instance Group’s (MIG) history and scales it out in advance of predicted load, so that new instances are ready to serve when the load arrives. Without predictive autoscaling, an autoscaler can only scale a group reactively, based on observed changes in load in real time. With predictive autoscaling enabled, the autoscaler works with real-time data as well as with historical data to cover both the current and forecasted load. That makes predictive autoscaling ideal for those apps with long initialization times and whose workloads vary predictably with daily or weekly cycles. For more information, see How predictive autoscaling works or check if predictive autoscaling is suitable for your workload, and to learn more about other intelligent features, check out Active Assist.

Pricing

You pay for what you use. But you can save cost by taking advantage of some discounts! Sustained use saving are automatic discounts applied for running instances for a significant portion of the month. If you know your usage upfront, you can take advantage of committed use discounts which can lead up to significant savings without any upfront cost. And by using short lived preemptive instances you can save up to 80%, they are great for batch jobs and fault tolerant workloads. You can also optimize resource utilization with automatic recommendations. For example if you are using a bigger instance for a workload that can run on a smaller instance you can save costs applying these recommendations.

Security

Compute Engine provides you default hardware security. Using Identity and Access Management (IAM) you just have to ensure that proper permissions are given to control access to your VM resources. All the other basic security principles apply, if the resources are not related and don’t require network communication amongst themselves, consider hosting them on different VPC networks. By default, users in a project can create persistent disks or copy images using any of the public images or any images that project members can access through IAM roles. You may want to restrict your project members so that they can create boot disks only from images that contain approved software that meet your policy or security requirements. You can define an organization policy that only allows Compute Engine VMs to be created from approved images. This can be done by using the Trusted Images Policy to enforce images that can be used in your organization. 

By default all VM families are Shielded VMs. Shielded VMs are virtual machine instances that are hardened with a set of easily configurable security features to ensure that when your VM boots, it’s running a verified bootloader and kernel — is the default for everyone using Compute Engine, at no additional charge. For more details on Shielded VMs refer to the documentation here.

For additional security, you also have the option to use Confidential VM to encrypt your data in use, while it’s being processed in Compute Engine. For more details on Confidential VM refer to the documentation here.

Use cases

There are many use cases Compute Engine can serve in addition to running websites and databases. You can also migrate your existing systems onto Google Cloud, with Migrate for Compute Engine, enabling you to run stateful workloads in the cloud within minutes rather than days or weeks. Windows, Oracle or VMware applications have solution sets enabling a smooth transition to Google Cloud. To run windows applications either bring your own license leveraging Sole-tenant nodes or using the included licenced images. 

Conclusion

Whatever your application use case may be, from legacy enterprise applications to digital native applications, Compute Engine’s families will fit it. For a more in-depth look into Compute Engine check out the documentation. 

For more #GCPSketchnote, follow the GitHub repo. For similar cloud content follow me on Twitter @pvergadia and keep an eye out on thecloudgirl.dev

Ransomware, a form of malware that encrypts a user’s or organization’s most important files or data rendering them unreadable, isn’t a novel threat in the world of computer security. These destructive, financially-motivated attacks where cybercriminals demand payment to decrypt data and restore access have been studied and documented for many years. Today’s reality shows us that these attacks have become more pervasive, impacting essential services like healthcare or pumping gasoline. Yet despite attempts to stop this threat, ransomware continues to impact organizations across all industries, significantly disrupting business processes and critical national infrastructure services and leaving many organizations looking to better protect themselves. Organizations that continue to rely on legacy systems are especially vulnerable to ransomware threats, as these systems may not be regularly patched and maintained. 

For more than 20 years Google has been operating securely in the cloud, using our modern technology stack to provide a more defensible environment that we can protect at scale. We strive to make our security innovations available in our platforms and products for customers to use as well. This underpins our work to be the industry’s most trusted cloud, and while the threat of ransomware isn’t new, our responsibility to help protect you from existing or emerging threats never changes. In this post, we share guidance on how organizations can increase their resilience to ransomware and how some of our Cloud products and services can help.

Develop a comprehensive, defensive security posture to protect against ransomware

Robust protection against ransomware (and many other threats) requires multiple layers of defense. The National Institute of Standards and Technology (NIST) outlines five main functions in the Cybersecurity Framework that serve as the primary pillars for a successful and comprehensive cybersecurity program in any public or private sector organization. Below are the recommendations from NIST and examples of how our Cloud technologies can help address ransomware threats:

Pillar #1 – Identify: Develop an understanding of what cybersecurity risks you need to manage for the scope of your assets, systems, data, people, and capabilities. In the case of ransomware, this covers which systems or processes are most likely to be targeted in a ransomware attack, and what the business impact would be if specific systems were rendered inoperable. This will help prioritize and focus efforts to manage risks. 

Our CISO Guide to Security Transformation whitepaper outlines steps for a risk-informed, rather than risk-avoidance, approach to security with the cloud. A risk-informed approach can help you address the most important security risks, instead of addressing the risks that you already know how to mitigate. Cloud service providers make this risk-informed approach easier and more efficient for you by developing and maintaining many of the controls and tools that you need to mitigate modern security threats. Services like Cloud Asset Inventory provide a mechanism to discover, monitor, and analyze all your assets in one place for tasks like IT ops, security analytics, auditing, and governance. 

Pillar #2 – Protect: Create safeguards to ensure delivery of critical services and business processes to limit or contain the impact of a potential cybersecurity incident or attack. In the case of ransomware, these safeguards may include frameworks like zero trust that protect and strongly authenticate user access and device integrity, segment environments, authenticate executables, reduce phishing risk, filter spam and malware, integrate endpoint protection, patch consistently and provide continuous controls assurance. Some examples of products and strategies to involve in this step include: 

• A cloud-native, inherently secure email platform: Email is at the heart of many ransomware attacks. It can be exploited to phish credentials for illegitimate network access and/or to distribute ransomware binaries directly. Advanced phishing and malware protection in Gmail provides controls to quarantine emails, defends against anomalous attachment types, and protects from inbound spoofing emails. Security Sandbox detects the presence of previously unknown malware in attachments. As a result, Gmail prevents more than 99.9 percent of spam, phishing, and malware from reaching users’ inboxes. Unlike frequently-exploited legacy on-premises email systems, Gmail is continually and automatically updated with the latest security improvements and protections to help keep your organization’s email safe.
• Strong protection against account takeovers: Compromised accounts allow ransomware operators to gain a foothold in victim organizations, perform reconnaissance, get unauthorized access to data and install malicious binaries. Google’s Advanced Protection Program provides the strongest defense against account takeovers and has yet to see a user that participates in the program be successfully phished. Further, Google Cloud employs many layers of machine learning systems for anomaly detection to differentiate between safe and anomalous user activity across browsers, devices, application logins, and other usage events.  
• Zero trust access controls that limit attacker access and lateral movement: BeyondCorp Enterprise provides a turnkey solution for implementing zero trust access to your key business applications and resources. In a zero trust access model, authorized users are granted point-in-time access to individual apps, not the entire corporate network, and permissions are continuously evaluated to determine if access is still valid. This prevents the lateral movement across the network that ransomware attackers rely on to hunt for sensitive data and spread infections. BeyondCorp’s protections can even be applied to RDP access to resources, one of the most common ways that ransomware attackers gain and maintain access to insecure legacy Windows Server environments. 
• Enterprise threat protections for Chrome: Leveraging Google Safe Browsing technology, Chrome warns users of millions of malware downloads each week. Threat protection in BeyondCorp Enterprise delivered through Chrome can prevent infections from previously unknown malware including ransomware, with real-time URL checks and deep scanning of files.

• Endpoints designed for security: Chromebooks are designed to protect against phishing and ransomware attacks with a low on-device footprint, read-only, constantly invisibly updating Operating System, sandboxing, verified boot, Safe Browsing and Titan-C security chips. Rollout of ChromeOS devices for users who work primarily in a browser can reduce an organization’s attack surface, such as relying too much on legacy Windows devices, which have been found to often be vulnerable to attacks.

Pillar #3 – Detect: Define continuous ways to monitor your organization and identify potential cybersecurity events or incidents. In the case of ransomware, this may include watching for intrusion attempts, deploying Data Loss Prevention (DLP) solutions to detect exfiltration of sensitive data from your organization, and scanning for early signs of ransomware execution and propagation.  

The ability to spot and stop malicious activity associated with ransomware as early as possible is key to preventing business disruptions. Chronicle is a threat detection solution that identifies threats, including ransomware, at unparalleled speed and scale. Google Cloud Threat Intelligence for Chronicle surfaces highly actionable threats based on Google’s collective insight and research into Internet-based threats. Threat Intel for Chronicle allows you to focus on real threats in the environment and accelerate your response time.

DLP technologies are also useful in helping detect data that could be appealing to ransomware operators. With data discovery capabilities like Cloud DLP, you can detect sensitive data that’s accessible to the public when it should not be and detect access credentials in exposed code. 

Pillar #4 – Respond: Activate an incident response program within your organization that can help contain the impact of a security (in this case, ransomware) event.  

During a ransomware attack or security incident, it’s critical to secure your communications both internally to your teams and externally to your partners and customers. Many organizations with legacy Office deployments have shifted to Google Workspace because it offers a more standardized and secure online collaboration suite, and in the event of a security incident, a new instance can quickly be stood up to provide a separate, secure environment for response actions.

Pillar #5 – Recover: Build a cyber resilience program and back-up strategy to prepare for how you can restore core systems or assets affected by a security (in this case, ransomware) incident. This is a critical function for supporting recovery timelines and lessening the impact of a cyber event so you can get back to operating your business. 

Immediately after a ransomware attack, a safe point-in-time backup image that is known not to be infected must be identified. Actifio GO provides scalable and efficient incremental data protection and a unique near-instant recovery capability for data. This near-instant recovery facilitates identifying a clean restore point quickly, enabling resumption of business functions rapidly. Actifio GO is infrastructure-agnostic and can protect applications on-premises and in the cloud. 

In Google Workspace, if files on your computer were infected with malware but you sync them to Google Drive, you may be able to recover those files. Additionally, ensuring that you have a strong risk transfer program in place, like our Risk Protection Program, is a critical element of a comprehensive approach to managing cyber risk. 

Key ransomware prevention and mitigation considerations for business and IT leaders

As you plan for a comprehensive defense posture against ransomware threats, here are some key questions to consider:

• Does your organization have a ransomware plan, and what does it entail? Remember to demand a strong partnership with your cloud providers based on a shared understanding of risk and security objectives. 
• How are you defending your organization’s data, systems and employees against malware? 
• Are your organization’s systems up to date and patched continuously? 
• Are you watching for data exfiltration or other irregularities? 
• What is your comprehensive zero trust approach, especially strongly authenticating my employees when they access information? 
• Are you taking the right back ups to high assurance immutable locations and testing that they are working properly? This should include testing that does a periodic restore of key assets and data. 
• What drills are you conducting to battle-test your organization’s risk management and response to cyber events or incidents? 

Ransomware attacks will continue to evolve 

Recently, ransomware groups have evolved their tactics to include stealing data prior to it being encrypted, with the threat of extorting this data through leaks. Additionally, some ransomware operators have used the threat of distributed-denial-of-service (DDoS) attacks against victim organizations as an attempt to further compel them to pay ransoms. DDoS attacks can also serve as a distraction, occupying security teams while attackers seek to accomplish other objectives such as data exfiltration or encryption of business-critical data. By deploying Google Cloud Armor — which can scale to absorb massive DDoS attacks— you can help protect services deployed in Google Cloud, other clouds, or on-premise against DDoS attacks.

Protecting against ransomware is a critical issue for all organizations, and these questions and best practices are only the start of building a mature and resilient cybersecurity posture.  It’s important to remember that you can’t focus on a single piece of defense; you need a comprehensive cybersecurity program that enables you to identify, prevent, detect, respond, and recover from threats. Above all, you need a range of solutions from a battle-tested and highly-resilient cloud platform that works across these elements in an integrated way with your business. To learn more about how Google Cloud can help you implement a comprehensive cybersecurity program to protect against threats like ransomware and more, visit our Google Cloud Security Best Practices Center.

Building a strong brand in today’s hyper-competitive business environment takes vision. It also requires a flexible, easily managed approach to digital asset management (DAM), so marketing professionals and other stakeholders can easily share, store, track, and manipulate assets to build the brand.

Many of today’s leading companies, including JetBlue, Slack, TripAdvisor, Lyft, and HealthONE, rely on Brandfolder to deliver consistent, organized, and efficient brand experiences. Brandfolder provides an easy-to-use platform that can scale across an entire company with little end-user training, empowering customers to distribute digital assets wherever they are needed. Customers also gain much greater insight into how those assets are used, and how to use them more effectively in marketing campaigns and brand messaging.

“Google Cloud made it easy to build an ML platform to quickly iterate through different brand intelligence use cases and release data-driven product features into the Brandfolder platform.”

—Ajay Rajasekharan, Head of Data Science, Brandfolder

Brandfolder is constantly advancing its development efforts to introduce new data-driven features without complicating the user experience. Big data, artificial intelligence (AI), and machine learning (ML) are key to meeting customers’ unique business needs, and essential for Brandfolder to compete in the fast-moving DAM industry. To enhance these capabilities, Brandfolder sought a public cloud provider that could help it scale its data pipeline cost effectively while providing access to advanced AI technologies.

After graduating from the Techstars startup accelerator program in 2013, Brandfolder tried two other cloud providers before standardizing on Google Cloud Platform (GCP).

“We saw a difference with Google Cloud from the very beginning because the interactions felt like a strategic relationship,” says Jim Hanifen, Head of Product at Brandfolder. “Google gave us startup credits and a lot of face-to-face support, which we hadn’t experienced with other cloud providers. We decided to move our entire infrastructure to Google Cloud Platform.”

Building an ML platform for brand intelligence

After performing an initial lift-and-shift migration of virtual machines (VMs) onto Compute Engine, Brandfolder built an ML platform using GCP managed services to seamlessly deliver its data products. The platform leverages Cloud SQL, Cloud Storage as the data lake, Cloud Dataproc for cloud-native Apache Spark computing clusters, Cloud Composer as the batch job scheduler, Cloud Pub/Sub as the backbone data pipeline, Container Registry to store Docker images, and Google Kubernetes Engine (GKE) as the application orchestrator. Cloud Dataflow brings data into the data lake and into BigQuery for analysis.

“Google Cloud made it easy to build an ML platform to quickly iterate through different brand intelligence use cases and release data-driven product features into the Brandfolder platform,” says Ajay Rajasekharan, Head of Data Science at Brandfolder, who describes the architecture in a detailed blog. “We simply ingest raw application and event data on one end and output an ML service on the other.”

“Moving to Google Cloud Platform allows us to complete more sophisticated data analysis and ML models much faster, and at a much lower cost. We can create brand-specific ML models 12x faster and get them into production quickly to address our customers’ unique business needs.”

—Brett Nekolny, Head of Engineering, Brandfolder

For many general use cases, Brandfolder does not need to build custom ML models, and instead relies on pre-trained API models from GCP. For example, it uses Vision API and Video Intelligence API to auto-tag creative assets on import to enable fast, intuitive searches across images and videos. When more product- and brand-specific modeling is required to address unique customer use cases, Brandfolder builds and trains custom ML models using its GCP pipeline or Cloud AutoML, a suite of products built on Google transfer learning and neural architecture search technology. For example, if a Brandfolder customer makes different types of grills, Brandfolder can use AutoML Vision to train a model to recognize the different grills.

“Moving to Google Cloud Platform allows us to complete more sophisticated data analysis and ML models much faster, and at a much lower cost,” explains Brett Nekolny, Head of Engineering at Brandfolder. “We can create brand-specific ML models 12x faster and get them into production quickly to address our customers’ unique business needs.”

Industry-leading security and performance

Google Cloud’s security model helps Brandfolder give existing and prospective customers peace of mind that their data will be protected. Cloud Identity & Access Management (Cloud IAM) provides enterprise-grade access control, while Cloud Identity-Aware Proxy (Cloud IAP) enables remote users to work more securely without the hassles of a VPN client. GCP also isolates cloud resources into projects, making it easy to assign permissions and keep data and VMs organized and segregated.

“With Google Cloud, everything begins and ends with security, which makes things very easy for us,” says Jim. “If we’re under a security review, we can submit a Google security white paper. If a potential customer has security concerns, we tell them we are hosted on GCP, and those concerns go away.”

To give customers even better application performance for accessing their brand assets, Brandfolder uses Cloud Memorystore, an in-memory data store service for Redis, to cache data and provide sub-millisecond data access for production applications.

“It was much easier for us to use Cloud Memorystore versus running Redis on our compute instances,” says Brett. “The high availability, replication across zones, and automatic failover with no data loss are big for us.”

Global private network interconnects between Google Cloud and the Fastly content delivery network (CDN) dramatically reduce latency, allowing Brandfolder’s customers to deliver and update even very large creative assets quickly around the world.

“What’s beautiful about the relationship between Google and Fastly is that if one of our customers uploads a new version of an asset, we can propagate that out to Fastly, and the new version will automatically show up in all the places where it’s referenced,” says Brett.

“The ability to quickly solve problems with AI has a substantial impact on our revenue, and that’s more apparent every quarter. Few of our competitors are doing product- or brand-specific modeling because it takes a lot of time and resources. We overcame those hurdles with Google Cloud.”

—Jim Hanifen, Head of Product, Brandfolder

Improving employee and customer productivity

Brandfolder also uses Google solutions for real-time collaboration and productivity, using G Suite to connect employees with intuitive, cloud-based apps. Teams use Gmail, Calendar, Docs, Drive, Sheets, Slides, and Hangouts Meet every day to move the business forward. Many of Brandfolder’s customers are also G Suite users, and Brandfolder offers a plug-in that allows them to view their creative assets inside of Docs and pull images in as needed. Customers can also log into Brandfolder with their G Suite credentials, making the solution even easier to use.

“We’ve been using G Suite since the beginning, and it’s helped us collaborate efficiently to build a successful, growing company,” says Jim. “Our teams expect to have that kind of close collaboration, and everyone here enjoys the G Suite experience.”

Driving 99 percent annual business growth

With automated tagging and other innovative AI-based features, Brandfolder is helping customers locate and distribute assets faster. As a result, Brandfolder is building customer loyalty and increasing sales, growing its business by 99 percent year-over-year. Since moving to GCP, Brandfolder has been able to scale its analytics and data pipeline 50x without a corresponding increase in costs and has not had to expand its development team.

“The ability to quickly solve problems with AI has a substantial impact on our revenue, and that’s more apparent every quarter,” says Jim. “Few of our competitors are doing product- or brand-specific modeling because it takes a lot of time and resources. We overcame those hurdles with Google Cloud.”