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- Here is an exhaustive list of free security tools from Microsoft for home users, network administrators and IT Pros, which help secure your computer system. Threat Modeling Tool.
Is there any open-source threat modeling tool - sort of like SDL Threat Modeling from Microsoft?
Oren TrutnerMicrosoft Threat Modeling Tool. 2016 TMT7.exe. Creating a New Threat Model. This section describes the steps to create a new threat model. From Home screen, browse a template you want to use for the threat model. Create a Model. From home screen.
closed as not constructive by Mat, Bill the LizardDec 22 '12 at 18:17
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The Open Web Application Security Project (OWASP) is a 501c3 not-for-profit worldwide charitable organization focused on improving the security of application software. Our mission is to make application security visible, so that people and organizations can make informed decisions about true application security risks. Everyone is free to participate in OWASP and all of our materials are available under a free and open software license.
Threat modeling area, towards the bottom of the page;
Appendix: Alternative open-source Risk Management tools
RandomNickName42RandomNickName42Here's some others
MyAppSecurity (Not open source but free) ThreatModeler
Trike Octotrike
Amenaza Securitree
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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:
Microsoft Threat Modeling Tool 2014 Examples
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.
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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.
https://insidernin.netlify.app/scripting-tool-for-mac-os-x.html. As a scripting language, AppleScript is the most powerful tool available to Mac users. It’s possible to build entire applications using AppleScript as the base programming language AppleScript is free and comes installed with OS X. Scripts can be “run” from within the Script Editor application or saved as either script files or script applications, available for use at any time, and from within any application. Script files are launched from an application’s script menu or from the Mac OS system-wide Script Menu utility. Mac OS X's Unix Development Tools. Converts a scripting definition file into another format. SetFile Sets HFS+ file attributes. SplitForks Splits the resource fork, moving it from a dual-forked file into a file named._pathname. UnRezWack Removes resource and data forks from a file. Mac minis are real and being delivered to customers! Apple sent out some updates for their Apps, Pages can now publish to Apple Books and iMovie on a new iPad pro can power a large external screen. Category: Tools Mojave Quick Action to Package Apps. It was one of the first applications to have a native Mac OS X version (the Mac/Unix text file compatibility was really valuable then). Tool chains of packages, scripts and other tools could build the master image (or most of it) automatedly. InstaDMG was one of the first tools to do.
“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.
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“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):
January 28, 2016 | Intro to Microsoft R Open | Screwdriver tool kit for mac. David Smith |
February 4, 2016 | Using Microsoft R Server to Address Scalability Issues in R | Derek Norton |
February 11, 2016 | Data Mining with Microsoft R Server | Derek Norton |
February 18, 2016 | Best Practices for using Microsoft R Server with Hadoop | Jamie Olson |
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Here is a quick summary of all the links you need to get started:
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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.
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.
Joseph
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