What is Data Masking?
Your live production Salesforce org contains some of your organization’s most sensitive and confidential data. In the production environment, the data benefits from rigorous security and privacy protection, but once it is migrated into a test environment for use by developers, administrators, or QA it is unlikely to receive the same level of attention. If steps are not taken to protect this data, your organization may find it is not in compliance with industry regulations and at increased risk of data loss during a security breach.
Data masking, also known as data anonymization or pseudonymization, solves this problem. Live data is anonymized to make it safe for use in non-production environments. Anonymization adds fictitious details to the data to mask sensitive information, such as credit card numbers and customer addresses. If a security breach occurs and the non-production data is compromised, data masking can minimize the risk of exposing sensitive and confidential information.
There are multiple techniques for masking live data. Information can be augmented with prefixes and suffixes, shuffled to rearrange the existing contents, replaced with random noise, or replaced with user-specified data. These techniques protect the production information without diminishing its usefulness.
AutoRABIT helps you secure vital information assets by masking sensitive live data for use outside of the production environment. There are four reasons why data masking is a best practice for Salesforce operations.
4 Reasons to Mask Data
1. Regulatory compliance
Almost all organizations are subject to some form of regulation involving data. Maintaining compliance frequently involves following specific rules for data security. For example, the Payment Card Industry Data Security Standard (PCI DSS), Health Insurance Portability and Accountability Act (HIPAA), and General Data Protection Regulation (GDPR) include specific directives for managing credit card information, health records, and all forms of personally identifiable information (PII), respectively. Companies governed by these regulations face strict legal and financial penalties for non-compliance.
Data masking offers a safe way to maintain access to live data for testing, without compromising sensitive and confidential information. For example, when migrating data into a QA/UAT sandbox, organizations subject to PCI DSS, HIPAA, or GDPR regulations can obfuscate credit card details, health information, and all forms of PII to maintain security and privacy of the data.
2. Insider threats
Data breaches initiated from outside the organization get the lion’s share of attention, but a 2013 study by the Open Security Foundation found that close to 20% of incidents started inside the organization, and these were responsible for almost 70% of exposed data. While developers, administrators, and QA engineers have a legitimate need for test data, they do not need access to sensitive and confidential information from the live Salesforce environment. Masking live data ensures that those who need access to data can perform their job, without increasing the risk of compromising data during a breach.
3. External parties
Outside consultants and service providers play an essential role in many organizations, and it is not uncommon for staff to share data with third parties as part of their daily routine. These transactions have the potential to expose the organization’s most sensitive Salesforce data. Data masking is an effective way of mitigating this risk. Masking production data ensures that staff and outside vendors can share access to test data without compromising sensitive and confidential information from the production environment.
4. Data encryption is not data masking
Data encryption is not the same thing as data masking. This common misconception likely stems from the use of data encryption to secure confidential information as it is migrated between servers or transmitted across a network. Unlike data masking, data encryption can be reversed to reveal the original production data. This makes it an ineffective tool for securing confidential data used during the software development lifecycle.
How Can AutoRABIT Help with Data Masking?
AutoRABIT is an end-to-end release management toolbox for Salesforce. One of AutoRABIT’s most popular features is the advanced data loader, Data Loader Pro. Data Loader Pro can migrate data between sandboxes, without using CSV files, while maintaining relational hierarchies. Built-in data masking enables the data loader to protect sensitive data during migration. Users specify the object, fields, and masking style, and Data Loader Pro protects data during transit and storage.
Masking style options include:
1. Prefix: Adding characters at the beginning of a field’s data
2. Suffix: Adding characters at the end of a field’s data
3. Replace: Completely replacing data in a field with data entered by a user
4. Shuffle: Shuffling the data in one column while all other columns are untouched
5. Random: Generating random and unique values across a given data set
Data masking is integral to any data security strategy. Masking data not only ensures compliance with data security and data privacy regulations but also reduces the risk of compromised data following a security breach.
To learn more about data masking and how AutoRABIT can help meet your data security needs, contact us at email@example.com
Abhilash Murali is a Sr. DevOps Engineer at AutoRABIT. Follow him on Twitter at @abhimur.
FOR IMMEDIATE RELEASE
June 07, 2019
AUTORABIT ACHIEVES SOC 2 COMPLIANCE
Report Demonstrates AutoRABIT’s Leadership in Compliance & Security for DevOps
San Ramon, CA – AutoRABIT is pleased to announce receiving its Service Organization Control 2 (SOC 2) Type 1 Report after a thorough audit across its policies and processes. As a leading provider of Automated Release Management products used by DevOps organizations to automate their CI/CD process for Salesforce, this achievement demonstrates AutoRABIT’s leadership and commitment to security and compliance controls for our global customers.
The audit was conducted by a global leader in SOC 2 compliance after a comprehensive review of AutoRABIT operations as the company strengthens its security controls, adopts best practices and assumes responsibility for maintaining a well-controlled and secured environment on behalf of their customers. With SOC 2 compliance, AutoRABIT becomes the first software company in the DevOps for Salesforce space to receive this report.
In addition to the SOC 2 Report, AutoRABIT recently achieved the ISO/IEC 27001:2013 certification, the international standard for best practices in information security management systems. The certification affirms AutoRABIT’s ongoing commitment to following the highest standards in data security and privacy for its cloud-based Automated Release Management suite for Salesforce and throughout every level of the organization.
“We are mindful of protecting the confidentiality and integrity of consumers’ personal information, which is our customers’ most sensitive data,” said Vishnu Datla, CEO, AutoRABIT. “Our commitment to ongoing compliance audits and security certifications allows us to earn our customers’ trust to ensure we have meticulous controls throughout development, test and production software environments that meet demanding government and industry standards.”
For more information on AutoRABIT, visit autorabit.com.
AutoRABIT offers a suite of products used by DevOps organizations to automate their CI/CD process for cloud-based development platforms. Its Automated Release Management Suite for Salesforce integrates a variety of tools and processes used by DevOps teams to configure, build, test and manage development, environments and deployments on their Salesforce instance. AutoRABIT’s technology is driven by Metadata MasteryTM proprietary IP developed to manage the dependencies, profiles and relationships associated with metadata.
Contact: Shoni Honodel
Data loss in Salesforce can happen for many reasons: code errors, human error, data migration errors, integration errors, and malicious intent. Whatever the cause, losing customer data can have a devastating effect on your business. Imagine the impact of accidentally deleting 50% of your leads from a production Salesforce instance. A disaster like that might bring your company to a standstill, or worse. According to the US Federal Emergency Management Agency, 40% of businesses don’t reopen after a disaster, and a further 25% fail after the first year.
You can’t predict whether your business will suffer from Salesforce data loss. But you can prepare for it.
A business continuity plan provides a roadmap for your business to follow after a disaster event. The plan identifies the steps you need to take to get business operations up and running again, with minimal or no downtime and data loss. Without a business continuity plan, the recovery of your business after a disaster is left to chance.
A critical component of any business continuity plan for a SaaS application like Salesforce is the ability to backup and restore customer data in a timely manner. We recommend taking regular backups of Salesforce data. This lets you choose which backup to restore after a disaster. Your recovery point objective (RPO) dictates the frequency of Salesforce backups. RPO is a measure of your business’s tolerance for data loss. It’s the point in time after which lost data significantly disrupts your business.
Restoring data from a backup can take hours, if not days, especially if your customer data runs into hundreds of gigabytes. Selectively restoring only critical customer data, such as accounts, contacts, opportunities, while a full restore happens in the background, can enable you to resume business operations within minutes of a disaster.
AutoRABIT Vault gives you flexible backup and restore options for Salesforce data. Automate full and incremental backups with single-click recovery to any point in the past, based on field, record, or full backup restore. Use Vault to put your Salesforce business continuity plan on steroids.
Modern Salesforce development environments are sophisticated with huge amounts of metadata, which can make deployments heavy and complex. Many organizations spend a great deal of time and effort to deploy an application within the governor limits and meet their goal of ensuring quality and stability in the application. However, the increase in deployment complexity combined with higher expectations of quality and agility, demand a more streamlined approach to Salesforce deployments.
Lean is a proven strategy in the software industry used to make application development faster, saving both time and money. When our team applied the principles of Lean to Salesforce deployments, ‘Delta Deployments’ were born. Powered by a Lean metadata packaging model, Delta Deployments are fast, simple and fail-proof (which also means you don’t have to wait until Friday night to do your deployments).
After all, you deserve a ‘Happy’ weekend, not a ‘Deployment’ weekend!
Why Delta Deployments are Important on the Salesforce Platform
As Salesforce runs in a multi-tenancy environment, it imposes governor limits to avoid monopolizing shared resources. When deploying, users are restricted to a .zip file with a maximum size of 39MB. The file size limit is applied to all tools and types of data, including Changesets, Metadata API, Force.com IDE, and ANT Migration tools. Most third-party tools available today are subject to the Salesforce governor limits as they are built using the Salesforce Metadata API.
Small and medium-sized organizations can work within these limitations, as they have fewer metadata components to migrate. However, deploying the metadata for a large enterprise can be an uphill battle. Bundling and compressing the files into multiple deployment packages is time consuming, inconvenient , and prone to failure due to file exceeding the 39MB limit.
Large file sizes occur due to the fact that the Salesforce Metadata API pulls and packages the complete component file, even if only a single line of code is modified. This is a bit like plucking the entire branch when trying to pick a single apple.
With Lean packaging, the changes (delta) of the metadata components are retrieved by comparing the Salesforce orgs and Version Control System. These changes are packaged into a .zip file and are deployed to the target Salesforce org. Delta Deployments allow you to move only the code that is absolutely necessary to update the application.
Let’s see how Delta deployments look like.
Delta Deployments in Action
The image below shows how a change to the field of an object named “Country Code” is migrated using Delta deployments.
The inline help text of a field is changed to “Provide your shipping address.” The Object’s XML file that is shown in the figure contains various other fields and object definition files like action overrides and custom settings, etc., along with the modified field. Using Delta deployments only the node of the field that is modified(color-coded in Blue) will be migrated.
Here’s another example in which changes are made in 3 versions of an application
An object is added in the first version of the application and two Custom Fields, namely Custom Field 1 and Custom Field 2 are added to it in the consecutive versions.
Packaging only the Deltas from Version 1 to Version 3 will migrate the components highlighted in Blue in the image.
To interpret, The Object is retrieved when deploying Version 1. Deploying Deltas from Version 2 means only the Custom Field 1 is retrieved to amend for the Object that is already in the target environment. Similarly, the deployment of Version 3 includes just the Custom Field 2.
AutoRABIT for Delta Deployments
AutoRABIT is a comprehensive DevOps Solutions for Salesforce application development. It is the only continuous delivery platform for Salesforce with end-to-end automation and Delta Deployments. With AutoRABIT, you can be sure that the right code will be delivered to the right place at the right time.
Find out how you can try AutoRABIT For FREE. Your next Salesforce deployment is on us.
There’s nothing more frustrating than having a trouble right when you felt everything was going great. This happens very often not just in life but also when you’re in the middle of an SDLC and especially if you’re a Developer or worse, a release manager waiting for a miracle release date. And we all naturally want to fix that problem, whatever’s annoying us. That is why we know it’s right investment in having a dedicated customer support where we get to know all those things which you want us to fix, right away!
But wait, this update will not solve all those problems that you’d been planning to write to Santa this Christmas. But yes, you’ll notice very soon that you’ve been sighing less and breathing more!
Some of those that we ourselves were glad working on were…
Feels like free fall from Niagara: Now your workflow doesn’t get buffered; hands down, better support for Salesforce API 44.0
We’ve put you in a Black Vault: If systems had missile technology and had enough sense to detect waves from your code, even then it won’t be able to encrypt it, that strong we made the security this time for DataloaderPro.
Cloak of invisibility: Whatever it was that you did not want to exist, IP Ranges and User Permissions from Profiles OR AutoRABITExtId from version control; we cloaked it all for you
Loved when you were pampered? Rest assured you’d never get spoilt over this with extensive support for Vlocity builds. Even dynamically packaged Vlocity components. There you go, Happy builds, automated!
Though what’s completely new is we’ve achieved Webhook support for Bitbucket Stash, but what we’re proud of is that the Ez-commits are made so much easier with more search options, commit history and logger improvements.
Well, it doesn’t end here. Our cats have been on an expedition to leave no corner undiscovered and fixed a couple of more bugs for you. Look at the Release notes and tell us how the house looks after they’ve left with no litters.
3 Take aways:
- Deploying delta changes between revision numbers is not possible elsewhere
- Developing without AutoRABIT is not possible for a peace-lover like me
- Going through another interesting blog is not possible without a Coffee break now
We do understand. There’s no fun in visiting a place like Paris and attending Demos. We wouldn’t feel a least bit excited. But then when we’ve known what a Demo could mean for making that coarse-changing decision for your company, we had second thoughts.
How does French Touch Dreamin help Salesforce users:
Right from its debut in 2016, French Touch Dreamin is a big hit within the Salesforce community. The passion at the event is infectious, as the event organizers brought speakers, MVP’s and other leaders in salesforce ecosystem, from various country communities to suffice the content-rich agenda of the event. You may have learnt on some tips and tricks to scale your Salesforce development or just move around and network with the Salesforce Ohana.
French Touch Dreamin is more than an event, it is an experience.
What you should look for in a Product for an informed decision:
- Is the Product having its presence in Global Events regularly?
- Is the Product active on Forums for problem solving?
- Is the Product in the market since a couple of years?
- Are the representatives empathetic towards your queries?
- Does the Product have regular updates as per the market demands?
- Does the Product have the passion to evolve into the bigger markets? (participation in these events are a sign of this)
- How is its Social media presence?
- What’s the work culture of the team behind the Product?
It’s hard to part ways after a long association
Did you consider all of the above to give you great insights into how your partnership would be for the next couple of years. Cause it’s not just you who’s gonna part ways with the Solution Provider if things don’t work your way, it involves teams across departments to switch between Solution Providers meaning – new teams, new ways and new engagements from the scratch.
- Did you get a chance to speak to our team and collect your swag at the event? If not, just leave a comment,we will connect back with you to help.
Chatbots are creating quite a buzz these days and can be found on websites and in apps across all industries. So, what exactly is a Chatbot? A Chatbot is a program which allows users to communicate with a computer or an application as if they are conversing with another person. Chatbots do this by combining Artificial Intelligence (AI) with Natural Language Processing (NLP) to process simple requests and respond accordingly.
A great example of a chatbot in action is the Skype Bot. Whenever a user logs into Skype, Microsoft gives an option to interact with the Skype Bot. Based on the user’s interactions, Skype Bot pops up things of their interest like games, curated news, music, and much more.
Chatbots – Making inroads into every industry
The adoption of Chatbots is working its way into every industry for the significant benefits they offer.
- Customer care 24/7
- Personalized customer experience
- Reduction in costs by automating repetitive tasks and with less staff
- Quick response and resolution to customers’ requests
- Improve customer satisfaction and loyalty
Possible applications of Chatbot technology are limitless. Businesses across all sectors are investing in chatbot technology. A few examples are:
In the retail sector: In order to offer an enhanced customer experience, Nordstrom, a retail fashion store, launched its first-ever Chatbot during the 2016 holiday gift-giving season.
How does the Nordstrom bot work? The user is asked basic, but leading questions. For example, if a user is shopping for a gift, few questions like – buying for whom, for what age, etc. – are asked; and based on the replies, the bot will come up with gift ideas. It makes user’s shopping experience personalized and successful without the need for human interaction.
In the field of Medicine: A Russian technology company launched an Alzheimer’s Disease Chatbot project. The goal of this project is to create an open source Chatbot companion for senior and Alzheimer’s patients to help them feel less lonely.
The Chatbot poses specific questions to the people who have Alzheimer’s or dementia. It reacts to the replies and speaks on various interesting topics in response. Interactions of the patients are examined and passed on to medical professionals to help diagnose the severity of the disease.
In the food/cooking industry: ‘Heston bot’ is created by Heston Blumenthal – a chef whose restaurants have been awarded Michelin stars. This bot uses the similar principles of speech/text recognition and suggests recipes the customers may like.
Chatbots Vs. Virtual Assistants
Don’t confuse virtual assistants with Chatbots! Though both are supported by AI & machine learning, and growing at a fast pace, they are very different from each other in terms of their functionalities and the purposes they serve. Amazon’s Alexa, Apple’s Siri, and the Google Assistant are not Chatbots, but Virtual Assistants. While Chatbots are useful for specific purposes like customer support, automated shopping, and customer engagement, the scope of Virtual Assistants is much broader. They allow more sophisticated applications for business.
Although Chatbots and Virtual Assistants have different purposes, it’s important to know that most Chatbots can be accessed via Virtual Assistants, messaging apps, or individual apps and websites of organizations.
Role of Chatbots in Application Development and DevOps Implementation
Harnessing the power of Chatbots in application development and software projects will let enterprises increase the speed at which they bring value to their customers. In certain situations, a business may benefit more by leveraging a chatbot than by spending time and effort in building an app. A readymade platform can be utilized to develop a chatbot rather than focusing on coding for UI/UX, graphics, front-end/back-end systems as in the development of an application. Also, once a chatbot is developed, it is easy-to-use and does not require loading or installation. Additionally, it can be used across operating systems without porting. The latest chatbots can also merge different areas of customer interaction – like search, filter, contact, etc.
So, how will Chatbot technology be used in the world of DevOps? Chatbots may just be the next big advancement needed to allow for effective real-time collaboration and communication between development and operations. Users will be able to monitor performance, orchestrate workflows, and receive a predictive & prescriptive analysis of monitoring data; all using natural language commands. The use of Chatbots can have a positive impact on app development, ultimately reducing development time and costs significantly. Imagine how easy development will be when DevOps tools integrate with Virtual Assistants… “Google, build and test the latest branch…”!
Humans have demonstrated proven abilities in accomplishing a multitude of things from the stone age to digital age, by discovering fire to ‘cloud.’ Conversely, they can be unbelievably lazy at times and don’t like to get off the couch to find the remote control. Therefore, everything around us from buildings and cars to water bottles and hair brushes is increasingly being controlled by sensors leading to ‘Internet of Things (IoT).’ It’s obvious that IoT is transforming people’s lives at every corner.
“IDC predicts that by 2020 there will be 30 billion connected ‘things’ and a revenue opportunity of $1.7 trillion for the ecosystem.” Click To Tweet
IoT– Sweeping the Business Landscape
Advanced technologies, affordability of hardware, and the feasibility to use contemporary programming languages are leading to rapid expansion of IoT products. Here are a few examples that talk about the scope of IoT and its impact:
- IoT for Software Development
Software development teams typically gather project requirements from internal sources like pre-sales or R & D, and external sources like customers or subject matter experts with diverse industry and market experience. Requirements are also gathered based on customer’s product usage trends. Companies often play a guessing game while gathering requirements and struggle hard to live up to customer expectations. Instead, Internet of Things can act as a crucial source for gathering requirements by offering insights into how the software interacts with other APIs. A wide range of IoT products offers insights into consumer behavior while utilizing data from the ‘connected life’ of the consumer and helping businesses to offer enriched customer experience.
- IoT to reinvent Personalized User Experience
IoT represents data and personalization which can be leveraged for business advantage. IoT opens new doors for businesses to go beyond the CRM and explore a world of a billion connected devices and the customers behind them who are willing to share their personal data. As the IoT landscape expands, relevancy becomes a key differentiator for companies to be successful. Businesses are already designing their strategies to utilize the data received through IoT technologies, thereby building better products. One good example is Tesla Motors, a manufacturer of connected cars. It encourages its customers to submit requests on customized features they would like to have in their cars. Recently, one of the Tesla’s customers submitted a request for crawl feature, an advanced feature that facilitates off-road driving with slow cruise control to maintain a constant speed without the need for the accelerator in extreme conditions. Tesla used this feedback for product improvement by updating the entire fleet of cars with the crawl feature.
- IoT for Industry 4.0
With the emergence of the fourth industry revolution, aka Industry 4.0, IoT has gained a lot of traction in the manufacturing sector. Industry 4.0 signifies the current technological trends – automation and data exchange – in manufacturing technologies. It includes cyber-physical systems, cloud computing, IoT, and cognitive computing. Companies are already leveraging this technology to turn data into a strategic asset for them. One ideal example is Rolls-Royce; it is tracking everything from fuel-flow to aircrafts’ altitude by embedding its product lines with IoT sensors. The data is immediately fed to the operational centers and then leveraged to optimize products and make informed decisions.
IDC expects global IoT spending to see a compound annual growth rate (CAGR) of 15.6% by 2020, reaching $1.29 trillion.
“The manufacturing industry will lead the way, spending an estimated $178 billion, and transportation is next at $78 billion.” Click To Tweet
Businesses that embrace IoT will have the first-mover advantage. IoT is a strategic enabler of digital transformation, helping businesses create customer-centric business models and enrich customers’ experience.
With the ubiquitous connectivity across mobile devices, cloud, computers, and apps, there is an increasing need for organizations to handle enormous amounts of data securely.
Traditional approaches to data protection – firewalls, encryption, and passwords, often fail to lock down the data adequately. The challenge for organizations is that they need to follow innovative approaches to expose data only to the required people while maintaining confidentiality and adhering to regulatory compliance standards. Enterprises need to go beyond the legacy methods and move towards a comprehensive solution that offers data protection at a granular level. Data Masking is evolving to bridge the gap left by the traditional approaches to data protection.
What is Data Masking?
Gartner defines data masking as “a technology aimed at preventing the abuse of sensitive data by giving users fictitious (yet realistic) data instead of the original data.”What is Data Masking? Click To Tweet
Also known as Data Anonymization or Data Pseudonymization, data masking is the process of interchanging or varying certain elements of the data, enabling privacy and confidentiality of data. While the structure of the data remains the same, the presentation of information is changed to protect sensitive and confidential information.
Data masking is essential in a few scenarios where the functional substitute of the real data does the job instead of using the actual data. For example, if you need to mask a postal code, you can merely randomize the numbers. But if you need the data for application testing, it is important to maintain the right format for the application to recognize it.
Data Masking – Why & How?
Here are three situations in which data masking is critical:
- Securing data in non-production environments
Organizations continue to improve the functionality of their existing applications. As a result, application development often compels developers to test the functionality in the production-like environments to ensure that it is in line with the standards set. For testing, developers need to obtain data from production. Organizations often breach information unknowingly when they share the data from regulated production environments to non-production environments. Data breaches in non-production environments can cause loss of millions of dollars to organizations.
- Handling insider threats
While most data breaches happen from malicious external attacks, they can also take place due to internal factors – within an organization. Insider threats that cause loss or damage to data include accidents, phishing, theft, carelessness, malware attacks, hacking, etc. As per a 2017 Insider Threat Report, 53 percent of companies estimate remediation costs of $100,000 and more, with 12 percent estimating a cost of more than $1 million. Developers and testers need access to the data from the Production environment. It is important to protect data that is vital for the purposes such as development, testing, and QA cycles. Hence, data masking is becoming a standard practice that is often necessary to secure data. More so, organizations are now compelled to have compliance with the national and international data protection legislation. By masking the production data, developers and testers would have the liberty to work with the real data without compromising on the confidentiality of data.
- Ensuring compliance with General Data Protection Regulation (GDPR)
The General Data Protection Regulation (GDPR) is the latest regulation passed by the European Union to govern the way businesses administer and protect customers’ personal data. It has come into effect from May 25th, 2018. This regulation focuses on the protecting an individual’s privacy rights and emphasizes the need for “Pseudonymization,” an umbrella term that encapsulates procedures like Data Masking, encryption and hashing. It also directs organizations to regulate the amount of data they collect and minimize it to a bare minimum. Under the GDPR regulation, personal information collected by a company cannot be used for any other purpose unless it is pseudonymized.
All in all, ‘Data Masking’ offers organizations a highly efficient way to comply with the data security requirements. It effectively reduces the risk of data breaches and protects the sensitive data from malicious and accidental thefts.
AutoRABIT, an end-end Continuous Delivery suite for SaaS platforms, has rolled out Data Masking feature in its 4.2 GA release to help enterprises successfully achieve data security. Our enterprise-class data masking solution encompasses data masking best practices and enables organizations to balance the need to use and secure the data.
Click here to learn more about AutoRABIT 4.2 GA Release Data Masking Solution and more.
What a huge deal! Salesforce’s $6.5 billion acquisition of MuleSoft is astounding to everyone in the SaaS world. But what does the deal mean for the industry?
What Is the Salesforce-MuleSoft Deal All About?
For Salesforce, this acquisition is a strategic and game-changing move that will strengthen its position in the industry. MuleSoft is an API integration platform that connects apps, data and devices both on-premise and across any cloud. Industry insiders have had mixed opinions about whether MuleSoft’s on-premise deployment model works for Salesforce, a cloud-based SaaS platform. But, Salesforce has been on the lookout for opportunities to support its Force.com platform in the hybrid-cloud world. As Salesforce has built its artificial intelligence and machine-learning layer, Einstein, it now wants to give companies access to any data, regardless of where the data is stored. MuleSoft offers Salesforce precisely that capability. The acquisition was completed in the first week of May 2018, making Salesforce one of the world’s leading platforms for building application networks that connect enterprise apps, data and devices across any cloud and on-premise–whether they connect with Salesforce or not.
For MuleSoft, the deal is a huge win. MuleSoft is the fastest growing top-five enterprise software company, with 1,200 customers, including big names like Coca-Cola and McDonald’s. MuleSoft’s flagship product – Anypoint platform has now become part of Salesforce Integration Cloud, a service that drives intelligent, customized customer experiences. MuleSoft has been recognized for its innovative technology, and the company has innovative plans to take advantage of the Salesforce Integration Cloud. An article published in techgenix.com states that Salesforce is on the acquisition spree and diversifying its business beyond CRM in order to achieve its new goal of reaching $20 billion by 2024. Commenting on the diversification efforts of Salesforce, Vishnu Datla, CEO of AutoRABIT said, “All large clients have ERPs powering their businesses. While Salesforce provides a robust CRM, it cannot be in a silo. Clients want to integrate their back-office applications to CRM, and MuleSoft is the best way to do this.”Salesforce - MuleSoft: Impact on the industry Click To Tweet
Salesforce-MuleSoft: Impact on the industry
In the current digital age, every company needs to transform the way they do business. Over the last decade, software development practices have drastically improved. There’s an intense pressure on IT organizations to move faster. The collaboration between Salesforce and MuleSoft will offer customers modern software development and seamless flow of data across the digital value chain, enabling customers to make smarter and faster decisions. MuleSoft’s is going to play a significant role in the IT world, from helping organizations connect individual business software tools, to creating reusable, integrated application networks.
“Together, Salesforce and MuleSoft will enable customers to connect all of the information throughout their enterprise across all public and private clouds and data sources—radically enhancing innovation,” said Salesforce CEO, Marc Benioff, in a statement.
“MuleSoft is at the center of the significant opportunity to help organizations bring their digital investments together, into an application network. As enterprises move their business to the cloud, deploy SaaS and embrace mobile and IoT, the challenge to quickly and efficiently deploy projects to deliver the benefits of digital transformation is massive,” said Greg Schott, CEO of MuleSoft.
The AutoRABIT Perspective
For us at AutoRABIT, the deal is a welcome surprise. As a partner to both companies, we see their combined power as a gamechanger for most industries. The world’s leading cloud app platform will now be tied at the hip to the leading “connector” of apps. The business of all sizes will be enabled to quickly create new and better customer experiences, taking advantage of the fact that data can now seamlessly flow and interact across apps, clouds, devices, and databases. Companies will be bound only by the speed of their DevOps practices.