-->

• Print Microsoft Threat Modeling Tool 2016
• Threat Modeling Tool Template
• Microsoft Threat Modeling Tool 2014 Examples
• Microsoft Threat Modeling Tool 2016 For Mac
• Windows Threat Modeling Tool

The Threat Modeling Tool is a core element of the Microsoft Security Development Lifecycle (SDL). It allows software architects to identify and mitigate potential security issues early, when they are relatively easy and cost-effective to resolve. As a result, it greatly reduces the total cost of development. Also, we designed the tool with non-security experts in mind, making threat modeling easier for all developers by providing clear guidance on creating and analyzing threat models.

The tool enables anyone to:

• Communicate about the security design of their systems
• Analyze those designs for potential security issues using a proven methodology
• Suggest and manage mitigations for security issues

1. Threat modeling (described in Design Phase: Risk Analysis) is the other critical security activity that must be completed during the design phase. Security Requirements Complete a security design review with a security advisor for any project or portion of a project that requires one.
2. Oct 30, 2016  How To Use Microsoft Threat Modeling Tool 2016, Create DFD Model and identity threat STRIDE.

Here are some tooling capabilities and innovations, just to name a few:

The Microsoft Threat Modeling Tool helps engineers analyze the security of their systems to find and address design issues early in the software lifecycle. The Microsoft SDL Threat Modeling Tool is a core element of the SDL. Microsoft is also announcing new and enhanced services within Office 365 and the availability of Office 2016 for Mac as a one-time purchase. The latest version of Office has been redesigned for Windows 10 optimization, improved collaboration and tighter security. Links to back issues of the Microsoft Developer Newsletter and its predecessor, the MSDN Flash. October 3, 2016 Get a free eBook on Microsoft SQL Server 2016, start using Visual Studio Code, and register for free CSS training. Volume 20, Number 20 - September 19, 2016. Download the New Threat Modeling Tool; Get Your C# Questions Answered.

• Automation: Guidance and feedback in drawing a model
• STRIDE per Element: Guided analysis of threats and mitigations
• Reporting: Security activities and testing in the verification phase
• Unique Methodology: Enables users to better visualize and understand threats
• Designed for Developers and Centered on Software: many approaches are centered on assets or attackers. We are centered on software. We build on activities that all software developers and architects are familiar with -- such as drawing pictures for their software architecture
• Focused on Design Analysis: The term 'threat modeling' can refer to either a requirements or a design analysis technique. Sometimes, it refers to a complex blend of the two. The Microsoft SDL approach to threat modeling is a focused design analysis technique

Next steps

The table below contains important links to get you started with the Threat Modeling Tool:

Resources

Here are a few older articles still relevant to threat modeling today:

Check out what a few Threat Modeling Tool experts have done:

By Joseph Sirosh, Corporate Vice President, Microsoft Data Group

Less than a year ago we decided to acquire Revolution Analytics, the leading commercial provider of software and services for R, the world’s most widely used programming language for statistical computing and predictive analytics. At the time, we committed to building R and Revolution’s technology into our broader database, big data and business intelligence offerings and to bring these benefits to customers and students – on-premises, in the Azure cloud, and to new platforms.

We have since delivered many innovations and updates to help customers and partners benefit from the power of R:

• In June 2015, we pledged our support for the R Project by being one of the founding members of the R Consortium.

• In October, we delivered SQL Server R Services (based on Revolution R Enterprise) as a built-in component of SQL Server 2016 CTP3, integrating advanced analytics with the database.

• In November, we enabled Power BI Desktop users to visualize and operationalize data in R.

Today, I have a few more exciting announcements to make about delivering R -based analytics to new platforms, developers and the R community:

• Revolution R Enterprise for Hadoop, Linux and Teradata is now available as Microsoft R Server with all the benefits of Microsoft’s enterprise-grade quality, support and purchasing options.

• A newMicrosoft R Server Developer Edition with all the features of the commercial version will be available as a free download.

• The Microsoft Data Science Virtual Machine will include a pre-installed and pre-configured version of Microsoft R Server Developer Edition.

• Revolution R Open is now Microsoft R Open and is available as a free download.

• Microsoft R Server is available to all students for academic use with the Microsoft DreamSpark program.

Delivering Microsoft R Server across multiple platforms allows our enterprise customers to standardize advanced analytics on one core tool, regardless of whether they are using Hadoop (Hortonworks, Cloudera and MapR), Linux (Red Hat and SUSE) or Teradata. For Windows, Microsoft R Server will be included in SQL Server 2016 as SQL Server R Services – and the combined bundle is less expensive than RRE standalone. Until SQL Server 2016 is released, Revolution R Enterprise for Windows remains available as a standalone product.

“Advanced and predictive analytics is about developing and testing new models. But it’s also about their incorporation by developers into production deployments of decision support and automation solutions that can benefit the whole organization. With its new offerings for the R ecosystem, Microsoft is playing an important role in bringing analyst modeling and productivity tools as well as deployment tools to a broader audience,” said Dan Vesset Program VP, Business Analytics and Information Management at IDC.

In addition to today’s announcements we’ll continue to work on delivering greater integration and innovation in our upcoming offerings including:

• Integrating Revolution’s scalable R distribution into Azure HDInsight and Azure Machine Learning.

• Delivering Microsoft R Server as an Azure Marketplace Virtual Machine.

• Enabling faster development of R models through R Tools for Visual Studio (RTVS), with capabilities similar to Python Tools for Visual Studio (PTVS).

These announcements reinforce our commitment to making it easy for enterprises, R developers and data scientists to cost-effectively build applications and advanced analytics solutions at scale, both on-premises and in the cloud.

What is Microsoft R Server?

Microsoft R Server is a broadly deployable enterprise-class analytics platform based on R that is supported, scalable and secure. Supporting a variety of big data statistics, predictive modeling and machine learning capabilities, R Server supports the full range of analytics – exploration, analysis, visualization and modeling. By using and extending open source R, Microsoft R Server is fully compatible with R scripts, functions and CRAN packages, to analyze data at enterprise scale. It also addresses the in-memory limitations of open source R by adding parallel and chunked processing of data in Microsoft R Server, enabling users to run analytics on data much bigger than what fits in main memory.

Since the acquisition of Revolution Analytics, Microsoft invested in making the product even more safe, more international and accessible, and easier to install, while building a slew of new features (more details at Microsoft R Server – What is New?). For example, the current release includes features such as:

• R Language version 3.2.2.

• Enterprise class support that you would expect of Microsoft.

• Enterprise level security conforming to Microsoft’s Security Development Cycle, including threat modeling and attack surface analysis, code analysis, extended fuzz testing, and more.

• Accessibility and compliance with Microsoft Accessibility Standards.

• Support for the Chinese government standard GB18030 encoding.

With Microsoft R Server for Hadoop, customers who use Hadoop can build and run R models in a distributed cluster using Microsoft R Serverwhile working exclusively in their preferred R development environment. The software scales transparently by distributing work across Hadoop nodes, without the need for complex programming.

“At Hortonworks, we enable our customers to create modern data applications fueled by actionable intelligence from data in motion and data at rest. The combination of Microsoft’s R Server and our HDP and HDF platforms provides a scalable, enterprise-grade big data analytics solution based on the R language that millions of R developers can embrace for creating rich predictive analytics applications from billions of Internet of Anything data sources in a way that drives transformational value for the business,” said Rob Bearden, CEO of Hortonworks.

With Microsoft R Server for Teradata, customers enjoy the advantage of bringing the analytics to the data by running advanced analytics models in-database on the Teradata appliances, rather than incurring the overhead of the traditional extract and analyze paradigm.

The Microsoft Data Science Virtual Machine will include a pre-installed and pre-configured version of Microsoft R Server Developer Edition, enabling R users to get started with data exploration and modeling right away on the cloud without needing to set up a fully configured system on premises.

Introducing Microsoft R Open

Revolution R Open is now called Microsoft R Open, and Microsoft continues its commitment of support for the open source R project, and to releasing regular updates to its enhanced, free distribution of R. Microsoft R Open enhances the performance of R with multi-threaded processor optimized computations provided by Intel Math Kernel Libraries (MKL) delivering large speedups especially in matrix oriented computations. It also makes it easier to build reliable applications with R on Windows, Mac and Linux by simplifying the management of R package versions. Microsoft R Open is 100% compatible with all R scripts and packages, and just like R is open source and free to download, use and share.

The R community is the keystone for the success of the R language, and a critical resource for data scientists, statisticians and now enterprises. Since the Revolution acquisition, Microsoft has continued to support the community, including expanding the sponsorship of R user groups and conferences. Investment in open source projects for R has also increased, with regular updates to Microsoft R Open and DeployR Open (a server for R deployment via web services), and new and updated R packages including checkpoint, an R package time-machine; ParallelR, for parallel R programming on clusters; and Azure ML, to deploy R functions to the Azure cloud as an API. In addition, Microsoft has pledged its support for the R Project by being one of the founding members of the R Consortium.

Print Microsoft Threat Modeling Tool 2016

“As fellow members of the R Consortium, we’re thrilled to see Microsoft going all-in on support for the R language”, said JJ Allaire, CEO of RStudio Inc. “With a first-rate ecosystem of products and companies investing in R, the R language is truly enterprise-ready. We look forward to working with Microsoft on making customers successful with deployment ready, production quality tools and infrastructure.”

To learn more about Microsoft R Open, read the post by David Smith, R Community Lead. To get started and learn more about Microsoft R Server and Microsoft R Open, we invite you to sign up for our upcoming webinar series (dates below):

Threat Modeling Tool Template

Here is a quick summary of all the links you need to get started:

Microsoft Threat Modeling Tool 2014 Examples

• Download Microsoft R Server Developer Edition for free.

• Download Microsoft R Open for free.

• Students, Download Microsoft R Server from DreamSpark for free.

• Get started with development using the Microsoft Data Science Virtual Machine now. For production purposes use these Azure Marketplace VMs.

• Existing Microsoft MSDN and Volume Licensing can how get Microsoft R Server via MSDN for Windows and other platforms, and via the Microsoft Volume License Service Center.

• Sign-up for our upcoming webinar series on R and Microsoft R Server.

Microsoft Threat Modeling Tool 2016 For Mac

As part of our commitment to help close the data scientist and analytics skills gap, we will also help educate and train aspiring developers and data scientists who want to learn R by leveraging the breadth and depth of our global programs and partner ecosystem, and with online courses such as Data Science and Machine Learning Essentials. I hope you will join us in our ambition to make R an enterprise standard for cross-platform advanced analytics, both on premises and in the cloud.

Windows Threat Modeling Tool

Joseph
Follow me on twitter