This is a presentation I gave at Hadoop Summit San Jose 2014, on doing fuzzy matching at large scale using combinations of Hadoop & Solr-based techniques.
Designing and Building a Graph Database Application – Architectural Choices, ...Neo4j
Ian closely looks at design and implementation strategies you can employ when building a Neo4j-based graph database solution, including architectural choices, data modelling, and testing.g
This document provides an overview of graph databases. It discusses how graph data is naturally represented as nodes connected by edges, unlike relational databases which require joins. Graph databases allow for fast traversal of connected data and enable querying connected subgraphs. Popular graph database models include property graphs and RDF triple stores. Neo4j is introduced as a widely used graph database management system that uses labels, properties, relationships, and Cypher query language.
The document introduces Apache OpenOffice 4, noting some of its new features including a flat logo design, sidebar contributed by IBM Lotus Symphony, and interoperability improvements for text, presentation, and spreadsheet documents. It also lists some new Calc functions and DrawObject improvements such as an enhanced 'Bitmap' FillType. The full list of changes can be found online, and the reader is encouraged to download OpenOffice 4.
The document discusses moving from traditional security practices to a DevSecOps model where security is integrated into the development lifecycle. It encourages making DevOps the security team's job, hardening the development toolchain, planning security epics and user stories, and sprinting to automate security practices. Specific examples provided include building an AWS Lambda function to respond to CloudTrail events and using AWS CodeDeploy for security tasks like imaging instance memory.
CxSuite is a source code analysis solution that allows organizations to identify, track, and fix security flaws in source code. It provides flexibility in supporting various programming languages, platforms, and vulnerability categories. CxSuite integrates into the software development lifecycle to help organizations address the challenge of securing code while reducing time and costs. It uses a virtual compiler to scan unbuilt code and pinpoints vulnerabilities without requiring a real compiler.
Application Security Guide for Beginners Checkmarx
The document provides an overview of application security concepts and terms for beginners. It defines key terms like the software development lifecycle (SDLC) and secure SDLC, which incorporates security best practices into each stage of development. It also describes common application security testing methods like static application security testing (SAST) and dynamic application security testing (DAST). Finally, it outlines some common application security threats like SQL injection, cross-site scripting, and cross-site request forgery and their potential impacts.
How do you integrate security within a Continuous Deployment (CD) environment - where every 5 minutes a feature, an enhancement, or a bug fix needs to be released?
Traditional application security tools which require lengthy periods of configuration, tuning and
application learning have become irrelevant in these fast-pace environments. Yet, falling back only on
the secure coding practices of the developer cannot be tolerated.
Secure coding requires a new approach where security tools become part of the development environment – and eliminate any unnecessary overhead. By collaborating with development teams, understanding their needs and requirements, you can pave the way to a secure deployment in minutes.
Implementing an Application Security Pipeline in JenkinsSuman Sourav
Performing continuous security testing in a DevOps environment with short release cycles and a continuous delivery pipeline is a big challenge and the traditional secure SDLC model fails to deliver the desired results. DevOps understand the process of built, test and deploy. They have largely automated this process in a delivery pipeline, they deploy to production multiple times per day but the big challenge is how can they do this securely?
This session will focus on a strategy to build an application security pipeline in Jenkins, challenges and possible solutions, also how existing application security solutions (SAST, DAST, IAST, OpenSource Libraries Analysis) are playing a key role in growing the relationship between security and DevOps.
DevSecOps Singapore 2017 - Security in the Delivery PipelineJames Wickett
This talk is from DevSecOps Singapore, June 29th, 2017.
Continuous Delivery and Security are traveling companions if we want them to be. This talk highlights how to make that happen in three areas of the delivery pipeline.
Devops security-An Insight into Secure-SDLCSuman Sourav
The integration of Security into DevOps is already happening out of necessity. DevOps is a powerful paradigm shift and companies often don’t understand how security fits. Aim of this session is to give an overview of DevOps security and How security can be integrated and automated into each phases of software development life-cycle.
The document discusses implementing a static application security testing (SAST) tool. It recommends starting with a central scanning model where a security team scans code and reports vulnerabilities. Over time, the organization can transition to a full software development lifecycle model where developers use the tool during coding. Key factors for a successful implementation include choosing the right scanning model, training users, and establishing processes for fixing and verifying issues. The document also provides tips on maximizing returns and reducing costs such as licensing the tool granularly and keeping deployment and training short.
Security Tests as Part of CI - Nir Koren, SAP - DevOpsDays Tel Aviv 2015DevOpsDays Tel Aviv
This document summarizes a presentation on integrating security testing into continuous integration processes. It discusses the benefits of automating security scans as part of CI/CD pipelines, including providing fast feedback to developers, frequent scans to catch vulnerabilities early, and transparency through automated reporting and notifications. It also provides examples of implementing security testing tools like IBM AppScan, HP Fortify, and CheckMarx in Jenkins pipelines.
Application Security Management with ThreadFixVirtual Forge
How to efficiently identify and remediate critical vulnerabilities in SAP and other Business Applications.
Vulnerabilities in individual applications harbor enormous risks for companies because they can be exploited by hackers to gain access to the corporate network and critical IT infrastructure such as SAP systems. An effective approach to application security management therefore must take the entire application portfolio of a company into consideration. It must evaluate critical vulnerabilities uniform and must be capable to track their remediation, regardless of the programming language or the development environment used.
This approach is facilitated by ThreadFix, an open source software offered by Denim Group. In our webinar APPLICATION SECURITY MANAGEMENT we show you:
- How you can scan your SAP and other business applications automatically for critical vulnerabilities
- How you can easily track the remediation of vulnerabilities with ThreadFix
- How you can accomplish important security and quality milestones more easily in your projects
Bringing Security Testing to Development: How to Enable Developers to Act as ...Achim D. Brucker
Security testing is an important part of any security development life-cycle (SDLC) and, thus, should be a part of any software development life-cycle.
We will present SAP's Security Testing Strategy that enables developers to find security vulnerabilities early by applying a variety of different security testing methods and tools. We explain the motivation behind it, how we enable global development teams to implement the strategy, across different SDLCs and report on our experiences.
In the world of DevSecOps as you may predict we have three teams working together. Development, the Security team and Operations.
The “Sec” of DevSecOps introduces changes into the following:
• Engineering
• Operations
• Data Science
• Compliance
This document discusses different file formats for storing large datasets in a data lake. It begins by outlining some goals for data lake storage formats, including good usability, being resource efficient, and enabling fast queries. Comma-separated value (CSV) files are described as a simple universal format but one that is very large and inefficient for queries. The document then discusses ways to improve the performance of CSVs through partitioning files into multiple parts and compressing the data. Better formats like JSON, Apache Avro, Optimized Row Columnar (ORC), and Apache Parquet are also covered. Parquet is described as the best option, being a columnar format that supports compression and enables fast queries through its organization of data.
The Road To Damascus - A Conversion Experience: LotusScript and @Formula to SSJSmfyleman
This document summarizes Matthew Fyleman's talk on converting LotusScript and @Formula to SSJS. It discusses options like using NotesAgent.run() or search and replace with regular expressions. Search and replace is most useful for LotusScript conversion if some refactoring is done first. Regular expressions can help match patterns during search and replace. Converting @Formula to JavaScript requires understanding functions like @If. Dedicated tools can help with complex conversions but still require some manual work.
This document discusses schema design concepts for document databases like MongoDB. It covers key concepts like embedding related data for optimal performance and flexible schemas. The document recommends embedding over referencing in most cases, especially for one-to-one and one-to-many relationships where related objects are often viewed together. Many-to-many relationships are more flexible, with embedding recommended for some use cases and referencing for others depending on the needs of the application. The goal is to design schemas that match how the application will use the data.
Webinar: Simpler Semantic Search with SolrLucidworks
Hear from Lucidworks Senior Solutions Consultant Ted Sullivan about how you can leverage Apache Solr and Lucidworks Fusion to improve semantic awareness of your search applications.
The document describes methods for cleaning up and transforming unstructured data into a structured format like CSV. It discusses using regular expressions and find-and-replace functions to remove unnecessary HTML tags, consolidate columns, standardize formats and deal with line breaks. The goal is to take around 5,000 news stories from an unstructured format and prepare the data to be imported into a database for analysis.
To scale or not to scale: Key/Value, Document, SQL, JPA – What’s right for my...Uri Cohen
This presentation will focuses on the various data and querying models available in today’s distributed data stores landscape. It reviews what models and APIs are available and discusses the capabilities each of them provides, the applicable use cases and what it means for your application’s performance and scalability.
Cassandra Summit 2014: Fuzzy Entity Matching at ScaleDataStax Academy
Presenter: Ken Krugler, President of Scale Unlimited
Early Warning has information on hundreds of millions of people and companies. When a person wants to open a new bank account, they need to be able to accurately find similar entities in this large dataset, to provide a risk assessment. Using the combination of Cassandra & Solr via DSE, they can quickly find and evaluate all reasonable candidates.
SolidWorks World Presentation from Paul Gimbel at Razorleaf. This presentation deals with the use of Microsoft Excel and Visual Basic for Applications as a front end to driving SolidWorks geometry in a design automation implementation.
NoSQL - MongoDB. Agility, scalability, performance. I am going to talk about the basis of NoSQL and MongoDB. Why some projects requires RDBMs and another NoSQL databases? What are the pros and cons to use NoSQL vs. SQL? How data are stored and transefed in MongoDB? What query language is used? How MongoDB supports high availability and automatic failover with the help of the replication? What is sharding and how it helps to support scalability?. The newest level of the concurrency - collection-level and document-level.
Data Processing and Aggregation with MongoDB MongoDB
The document discusses data processing and aggregation using MongoDB. It provides an example of using MongoDB's map-reduce functionality to count the most popular pub names in a dataset of UK pub locations and attributes. It shows the map and reduce functions used to tally the name occurrences and outputs the top 10 results. It then demonstrates performing a similar analysis on just the pubs located in central London using MongoDB's aggregation framework pipeline to match, group and sort the results.
Traackr evaluated several NoSQL database options to store its heterogeneous, unstructured web data. Document databases were the best fit due to their flexibility to store variable length text like tweets and blog posts without predefined schemas. MongoDB was selected due to its maturity, adoption, and support for ad-hoc queries and batch processing needed by Traackr in early 2010.
bccon-2014 dev03 xpages-road_to_damascas-lotus-script-and-@formula-to-ssjsICS User Group
This document discusses options for converting LotusScript and @Formula code to SSJS. It begins by introducing the presenter and the topic. It then covers various conversion options like using NotesAgent.run(), search and replace, and dedicated tools. It provides tips for preparing code for conversion through search and replace by refactoring code. It also introduces regular expressions as useful tools. The document then provides examples of converting code elements like Dim statements, If statements, and field handling. It discusses issues like converting data types and user interaction. Finally, it discusses resources for further information.
This document discusses using PROC IMPORT in SAS to import CSV files and discusses its limitations. It describes how the CSV format was originally specified in the 1980s and how implementations like Microsoft Excel violate the specification. It provides tips on fixing CSV data issues outside of SAS, such as using UNIX tools to modify CSV files before importing. The document recommends getting variable names, data types, and formatting correct before importing and provides some tricks for modifying the code generated by PROC IMPORT.
Implementing an Application Security Pipeline in JenkinsSuman Sourav
Performing continuous security testing in a DevOps environment with short release cycles and a continuous delivery pipeline is a big challenge and the traditional secure SDLC model fails to deliver the desired results. DevOps understand the process of built, test and deploy. They have largely automated this process in a delivery pipeline, they deploy to production multiple times per day but the big challenge is how can they do this securely?
This session will focus on a strategy to build an application security pipeline in Jenkins, challenges and possible solutions, also how existing application security solutions (SAST, DAST, IAST, OpenSource Libraries Analysis) are playing a key role in growing the relationship between security and DevOps.
DevSecOps Singapore 2017 - Security in the Delivery PipelineJames Wickett
This talk is from DevSecOps Singapore, June 29th, 2017.
Continuous Delivery and Security are traveling companions if we want them to be. This talk highlights how to make that happen in three areas of the delivery pipeline.
Devops security-An Insight into Secure-SDLCSuman Sourav
The integration of Security into DevOps is already happening out of necessity. DevOps is a powerful paradigm shift and companies often don’t understand how security fits. Aim of this session is to give an overview of DevOps security and How security can be integrated and automated into each phases of software development life-cycle.
The document discusses implementing a static application security testing (SAST) tool. It recommends starting with a central scanning model where a security team scans code and reports vulnerabilities. Over time, the organization can transition to a full software development lifecycle model where developers use the tool during coding. Key factors for a successful implementation include choosing the right scanning model, training users, and establishing processes for fixing and verifying issues. The document also provides tips on maximizing returns and reducing costs such as licensing the tool granularly and keeping deployment and training short.
Security Tests as Part of CI - Nir Koren, SAP - DevOpsDays Tel Aviv 2015DevOpsDays Tel Aviv
This document summarizes a presentation on integrating security testing into continuous integration processes. It discusses the benefits of automating security scans as part of CI/CD pipelines, including providing fast feedback to developers, frequent scans to catch vulnerabilities early, and transparency through automated reporting and notifications. It also provides examples of implementing security testing tools like IBM AppScan, HP Fortify, and CheckMarx in Jenkins pipelines.
Application Security Management with ThreadFixVirtual Forge
How to efficiently identify and remediate critical vulnerabilities in SAP and other Business Applications.
Vulnerabilities in individual applications harbor enormous risks for companies because they can be exploited by hackers to gain access to the corporate network and critical IT infrastructure such as SAP systems. An effective approach to application security management therefore must take the entire application portfolio of a company into consideration. It must evaluate critical vulnerabilities uniform and must be capable to track their remediation, regardless of the programming language or the development environment used.
This approach is facilitated by ThreadFix, an open source software offered by Denim Group. In our webinar APPLICATION SECURITY MANAGEMENT we show you:
- How you can scan your SAP and other business applications automatically for critical vulnerabilities
- How you can easily track the remediation of vulnerabilities with ThreadFix
- How you can accomplish important security and quality milestones more easily in your projects
Bringing Security Testing to Development: How to Enable Developers to Act as ...Achim D. Brucker
Security testing is an important part of any security development life-cycle (SDLC) and, thus, should be a part of any software development life-cycle.
We will present SAP's Security Testing Strategy that enables developers to find security vulnerabilities early by applying a variety of different security testing methods and tools. We explain the motivation behind it, how we enable global development teams to implement the strategy, across different SDLCs and report on our experiences.
In the world of DevSecOps as you may predict we have three teams working together. Development, the Security team and Operations.
The “Sec” of DevSecOps introduces changes into the following:
• Engineering
• Operations
• Data Science
• Compliance
This document discusses different file formats for storing large datasets in a data lake. It begins by outlining some goals for data lake storage formats, including good usability, being resource efficient, and enabling fast queries. Comma-separated value (CSV) files are described as a simple universal format but one that is very large and inefficient for queries. The document then discusses ways to improve the performance of CSVs through partitioning files into multiple parts and compressing the data. Better formats like JSON, Apache Avro, Optimized Row Columnar (ORC), and Apache Parquet are also covered. Parquet is described as the best option, being a columnar format that supports compression and enables fast queries through its organization of data.
The Road To Damascus - A Conversion Experience: LotusScript and @Formula to SSJSmfyleman
This document summarizes Matthew Fyleman's talk on converting LotusScript and @Formula to SSJS. It discusses options like using NotesAgent.run() or search and replace with regular expressions. Search and replace is most useful for LotusScript conversion if some refactoring is done first. Regular expressions can help match patterns during search and replace. Converting @Formula to JavaScript requires understanding functions like @If. Dedicated tools can help with complex conversions but still require some manual work.
This document discusses schema design concepts for document databases like MongoDB. It covers key concepts like embedding related data for optimal performance and flexible schemas. The document recommends embedding over referencing in most cases, especially for one-to-one and one-to-many relationships where related objects are often viewed together. Many-to-many relationships are more flexible, with embedding recommended for some use cases and referencing for others depending on the needs of the application. The goal is to design schemas that match how the application will use the data.
Webinar: Simpler Semantic Search with SolrLucidworks
Hear from Lucidworks Senior Solutions Consultant Ted Sullivan about how you can leverage Apache Solr and Lucidworks Fusion to improve semantic awareness of your search applications.
The document describes methods for cleaning up and transforming unstructured data into a structured format like CSV. It discusses using regular expressions and find-and-replace functions to remove unnecessary HTML tags, consolidate columns, standardize formats and deal with line breaks. The goal is to take around 5,000 news stories from an unstructured format and prepare the data to be imported into a database for analysis.
To scale or not to scale: Key/Value, Document, SQL, JPA – What’s right for my...Uri Cohen
This presentation will focuses on the various data and querying models available in today’s distributed data stores landscape. It reviews what models and APIs are available and discusses the capabilities each of them provides, the applicable use cases and what it means for your application’s performance and scalability.
Cassandra Summit 2014: Fuzzy Entity Matching at ScaleDataStax Academy
Presenter: Ken Krugler, President of Scale Unlimited
Early Warning has information on hundreds of millions of people and companies. When a person wants to open a new bank account, they need to be able to accurately find similar entities in this large dataset, to provide a risk assessment. Using the combination of Cassandra & Solr via DSE, they can quickly find and evaluate all reasonable candidates.
SolidWorks World Presentation from Paul Gimbel at Razorleaf. This presentation deals with the use of Microsoft Excel and Visual Basic for Applications as a front end to driving SolidWorks geometry in a design automation implementation.
NoSQL - MongoDB. Agility, scalability, performance. I am going to talk about the basis of NoSQL and MongoDB. Why some projects requires RDBMs and another NoSQL databases? What are the pros and cons to use NoSQL vs. SQL? How data are stored and transefed in MongoDB? What query language is used? How MongoDB supports high availability and automatic failover with the help of the replication? What is sharding and how it helps to support scalability?. The newest level of the concurrency - collection-level and document-level.
Data Processing and Aggregation with MongoDB MongoDB
The document discusses data processing and aggregation using MongoDB. It provides an example of using MongoDB's map-reduce functionality to count the most popular pub names in a dataset of UK pub locations and attributes. It shows the map and reduce functions used to tally the name occurrences and outputs the top 10 results. It then demonstrates performing a similar analysis on just the pubs located in central London using MongoDB's aggregation framework pipeline to match, group and sort the results.
Traackr evaluated several NoSQL database options to store its heterogeneous, unstructured web data. Document databases were the best fit due to their flexibility to store variable length text like tweets and blog posts without predefined schemas. MongoDB was selected due to its maturity, adoption, and support for ad-hoc queries and batch processing needed by Traackr in early 2010.
bccon-2014 dev03 xpages-road_to_damascas-lotus-script-and-@formula-to-ssjsICS User Group
This document discusses options for converting LotusScript and @Formula code to SSJS. It begins by introducing the presenter and the topic. It then covers various conversion options like using NotesAgent.run(), search and replace, and dedicated tools. It provides tips for preparing code for conversion through search and replace by refactoring code. It also introduces regular expressions as useful tools. The document then provides examples of converting code elements like Dim statements, If statements, and field handling. It discusses issues like converting data types and user interaction. Finally, it discusses resources for further information.
This document discusses using PROC IMPORT in SAS to import CSV files and discusses its limitations. It describes how the CSV format was originally specified in the 1980s and how implementations like Microsoft Excel violate the specification. It provides tips on fixing CSV data issues outside of SAS, such as using UNIX tools to modify CSV files before importing. The document recommends getting variable names, data types, and formatting correct before importing and provides some tricks for modifying the code generated by PROC IMPORT.
CoreML for NLP (Melb Cocoaheads 08/02/2018)Hon Weng Chong
This document provides an overview of using CoreML for natural language processing (NLP) tasks on Android and iOS. It discusses topics like word embeddings, recurrent neural networks, using Keras/Tensorflow models with CoreML, and an automated workflow for training models and deploying them to Android and iOS. It describes using FastText word embeddings to vectorize text, building recurrent neural network models in Keras, converting models to CoreML format, and using Jinja templating to generate code for integrating models into mobile applications. The overall goal is to automatically train NLP models and deploy them to mobile in a way that supports offline usage.
Child Themes, Starter Themes, and Frameworks.... Oh My!Julie Kuehl
The stock themes out there just aren’t quite right. You want to make your site your own. Change it up a bit. Make it roar. But where do you begin? Will a child theme be the best choice? What about these frameworks everyone talks about? And what’s a starter theme? Let’s talk about what the differences are between these options and why you would choose one over the other.
This document provides an introduction and overview of Neo4j, a graph database. It discusses trends in big data, NoSQL databases, and different types of NoSQL databases like key-value stores, column family databases, and document databases. It then defines what a graph and graph database are, and introduces Neo4j as a native graph database that uses a property graph model. It outlines some of Neo4j's features and provides examples of how it can be used to represent social network, spatial, and interconnected data.
PyData Amsterdam - Name Matching at ScaleGoDataDriven
Wendell Kuling works as a Data Scientist at ING in the Wholesale Banking Advanced Analytics team. Their projects aim to provide better services to corporate customers of ING, by using innovative techniques from data-science. In this talk, Wendell covers key insights from their experience in matching large datasets based on names. After covering the key algorithms and packages ING uses for name matching, Wendell will share his best-practice approach in applying these algorithms at scale… would you bet on a Cruncher (48-CPU/512 MB RAM machine), a Tesla (Cuda Tesla K80 with 4992 cores, 24GB memory) or a Spark cluster (80 cores/2,5 TB memory)?
Creating an Open Source Genealogical Search Engine with Apache SolrBrooke Ganz
Set Your Records Free!
LeafSeek is a new tool that helps you turn your genealogical or historical record collections into searchable online databases. Combine multiple datasets of different types — such as birth, marriage, and military records — into one unified searchable website. Find inter-connections in your data that you never noticed before.
With great features like built-in geo-spatial searches, pop-up Google Maps, Beider-Morse Phonetic Matching, name synonyms, and language localization, LeafSeek can help you turn your spreadsheets of names and dates into a full-featured genealogy search engine. It’s designed for researchers and genealogy societies alike.
Oh, and one more thing: LeafSeek is free and open source. No strings attached.
Regular expressions provide a concise way to match patterns in text. They work by converting the regex into a state machine that can efficiently search a string to find matches. Important regex syntax includes quantifiers like *, +, ?, character classes like [a-z], and anchors like ^ and $. Regular expression engines turn the regex pattern into a program that can search strings. Thompson's NFA construction algorithm is commonly used to build the state machine from a regex for efficient matching.
PROC IMPORT provides a simple way to import CSV and other delimited files into SAS. However, it has limitations such as incorrect data type determination and an inability to handle quoted strings containing delimiters. Simple UNIX tools can be used to fix issues in CSV files prior to importing. The generated import code can also be modified to work around some PROC IMPORT limitations and perform additional data validation and cleaning.
The Web AppSec How-To: The Defender's ToolboxCheckmarx
Web application security has made headline news in the past few years. In this article, we review the various Web application security tools and highlight important decision factors to help you choose the application security technology best suited for your environment.
10 Tips to Keep Your Software a Step Ahead of the HackersCheckmarx
Checkmarx provides software security solutions to help organizations introduce security into their software development lifecycle. Their product allows developers and auditors to easily scan code for security vulnerabilities in major coding languages. The document provides 10 tips for keeping software secure, such as performing threat modeling, scrutinizing open source components and frameworks, treating security as part of the development process, and using whitelist input validation. To learn more about Checkmarx's products and services, contact their team.
The 5 Biggest Benefits of Source Code AnalysisCheckmarx
Static Code Analysis is the technique of automatically analyzing the application’s source and binary code to find security vulnerabilities.
Two categories exist in this realm:
Binary – or byte- code analysis (BCA) analyzes the binary/ byte code that is created by the compiler.
Source code analysis (SCA) analyzes the actual source code of the program without the requirement of retrieving all code for a compilation.
Both offerings promise to deliver security and the requirement of incorporating security into the software development lifecycle (SDLC). Faced with the BCA vs SCA dilemma, which should you choose?
A Platform for Application Risk IntelligenceCheckmarx
Using Source Code Understanding as a Risk Barometer:
Source Code Analysis technologies have significantly evolved in recent years – making improvements in precision and accuracy with the introduction of new analysis techniques like flow analysis. This article describes this evolution and how the most advanced capabilities available today like query-based analysis and Knowledge Discovery can be leveraged to create a platform for Application Risk Intelligence (ARI) to help implement a proactive security program.
How Virtual Compilation Transforms Static Code AnalysisCheckmarx
Many assume that code analysis requires code compilation as a prerequisite. Today, all major static code analyzers are built on this assumption and only scan post compilation - requiring buildable code. The reliance on compilation has major and negative implications for all stake holders: developers, auditors, CISOs, as well as the organizations that hope to build a secure development lifecycle (SDLC). Historically, static code analysis required a complete and buildable project to run against, which made the logical place to do the analysis at the build server and in-line with the entire build process. The “buildable” requirement also forced the execution of the scan nearer the end of the development process, making security repairs to code more expensive and greatly reducing any benefits.
Secure software development has become a priority for all organizations whether they build their own software or outsource. And code analysis is becoming the de facto choice to introduce secure development as well as measure inherent software risk.
AppSec How-To: Achieving Security in DevOpsCheckmarx
How do you integrate security within a Continuous Deployment (CD) environment, where every 5 minutes a feature, an enhancement, or a bug fix needs to be released? Find out in this Checkmarx How-To Paper.
Given the wide range of Source Code Analysis Tools, security professionals, auditors and developers alike are faced with the same developers alike are faced with the question: What is the best way to assess a Static Application Security Testing (SAST) tool for deployment?
Choosing the right tool requires different considerations during each stage of the SAST tool evaluation process.
The Security State of The Most Popular WordPress Plug-InsCheckmarx
Checkmarx's research lab identified that more than 20% of the 50 most popular WordPress pluins were vulnerable to common Web attacks including SQL Injection, and that 70% of e-commerce plugins contained vulnerabilities.
In Agile’s fast-paced environment with frequent releases,
security reviews and testing can sound like an impediment to success. How can you keep up with Agile development's demands of continuous integration and deployment without
abandoning security best practices? These 10 steps will help you get the best of both worlds.
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity
Join this UiPath Community Berlin meetup to explore the Orchestrator API, Swagger interface, and the Test Manager API. Learn how to leverage these tools to streamline automation, enhance testing, and integrate more efficiently with UiPath. Perfect for developers, testers, and automation enthusiasts!
📕 Agenda
Welcome & Introductions
Orchestrator API Overview
Exploring the Swagger Interface
Test Manager API Highlights
Streamlining Automation & Testing with APIs (Demo)
Q&A and Open Discussion
Perfect for developers, testers, and automation enthusiasts!
👉 Join our UiPath Community Berlin chapter: https://community.uipath.com/berlin/
This session streamed live on April 29, 2025, 18:00 CET.
Check out all our upcoming UiPath Community sessions at https://community.uipath.com/events/.
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
Artificial Intelligence is providing benefits in many areas of work within the heritage sector, from image analysis, to ideas generation, and new research tools. However, it is more critical than ever for people, with analogue intelligence, to ensure the integrity and ethical use of AI. Including real people can improve the use of AI by identifying potential biases, cross-checking results, refining workflows, and providing contextual relevance to AI-driven results.
News about the impact of AI often paints a rosy picture. In practice, there are many potential pitfalls. This presentation discusses these issues and looks at the role of analogue intelligence and analogue interfaces in providing the best results to our audiences. How do we deal with factually incorrect results? How do we get content generated that better reflects the diversity of our communities? What roles are there for physical, in-person experiences in the digital world?
AI and Data Privacy in 2025: Global TrendsInData Labs
In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
Mobile App Development Company in Saudi ArabiaSteve Jonas
EmizenTech is a globally recognized software development company, proudly serving businesses since 2013. With over 11+ years of industry experience and a team of 200+ skilled professionals, we have successfully delivered 1200+ projects across various sectors. As a leading Mobile App Development Company In Saudi Arabia we offer end-to-end solutions for iOS, Android, and cross-platform applications. Our apps are known for their user-friendly interfaces, scalability, high performance, and strong security features. We tailor each mobile application to meet the unique needs of different industries, ensuring a seamless user experience. EmizenTech is committed to turning your vision into a powerful digital product that drives growth, innovation, and long-term success in the competitive mobile landscape of Saudi Arabia.
Andrew Marnell: Transforming Business Strategy Through Data-Driven InsightsAndrew Marnell
With expertise in data architecture, performance tracking, and revenue forecasting, Andrew Marnell plays a vital role in aligning business strategies with data insights. Andrew Marnell’s ability to lead cross-functional teams ensures businesses achieve sustainable growth and operational excellence.
TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc
Most consumers believe they’re making informed decisions about their personal data—adjusting privacy settings, blocking trackers, and opting out where they can. However, our new research reveals that while awareness is high, taking meaningful action is still lacking. On the corporate side, many organizations report strong policies for managing third-party data and consumer consent yet fall short when it comes to consistency, accountability and transparency.
This session will explore the research findings from TrustArc’s Privacy Pulse Survey, examining consumer attitudes toward personal data collection and practical suggestions for corporate practices around purchasing third-party data.
Attendees will learn:
- Consumer awareness around data brokers and what consumers are doing to limit data collection
- How businesses assess third-party vendors and their consent management operations
- Where business preparedness needs improvement
- What these trends mean for the future of privacy governance and public trust
This discussion is essential for privacy, risk, and compliance professionals who want to ground their strategies in current data and prepare for what’s next in the privacy landscape.
Generative Artificial Intelligence (GenAI) in BusinessDr. Tathagat Varma
My talk for the Indian School of Business (ISB) Emerging Leaders Program Cohort 9. In this talk, I discussed key issues around adoption of GenAI in business - benefits, opportunities and limitations. I also discussed how my research on Theory of Cognitive Chasms helps address some of these issues
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
Enhancing ICU Intelligence: How Our Functional Testing Enabled a Healthcare I...Impelsys Inc.
Impelsys provided a robust testing solution, leveraging a risk-based and requirement-mapped approach to validate ICU Connect and CritiXpert. A well-defined test suite was developed to assess data communication, clinical data collection, transformation, and visualization across integrated devices.
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
HCL Nomad Web – Best Practices and Managing Multiuser Environmentspanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-and-managing-multiuser-environments/
HCL Nomad Web is heralded as the next generation of the HCL Notes client, offering numerous advantages such as eliminating the need for packaging, distribution, and installation. Nomad Web client upgrades will be installed “automatically” in the background. This significantly reduces the administrative footprint compared to traditional HCL Notes clients. However, troubleshooting issues in Nomad Web present unique challenges compared to the Notes client.
Join Christoph and Marc as they demonstrate how to simplify the troubleshooting process in HCL Nomad Web, ensuring a smoother and more efficient user experience.
In this webinar, we will explore effective strategies for diagnosing and resolving common problems in HCL Nomad Web, including
- Accessing the console
- Locating and interpreting log files
- Accessing the data folder within the browser’s cache (using OPFS)
- Understand the difference between single- and multi-user scenarios
- Utilizing Client Clocking
Quantum Computing Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
2. About
Maty Siman, CISSP
CTO, Founder – Checkmarx:
Leading SAST (“Source Code Analysis”) Vendor
Hundreds of customers WW
Secures SalesForce AppExchange market
Title in white and bold
“Visionary” by Gartner
4. Issues at hand – size, complexity, volume
The biggest challenge of current source code
analysis solutions is size-
How to deliver:
1. Usable results
2. Automatically
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3. Out-of-the-box
4. Actionable
for extra large code bases with thousands+ of
results
5. Issue
• Findings thousands accurate results, does not
make us happy …
• Webgoat, for example, has hundreds of XSS
• We’ll narrow this down to 10 fixing places
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6. Current situation
• Each result has a data flow, presented
independently from other findings.
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7. Single Data Flow Path - XSS
Request.QueryString*“param1”+;
String s = Request.QueryString*“param1”+;
…
s
Response.Write(s);
Response.Write(s);
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16. Automatic “What-if” => Best Fix Location
Max-Flow-Min-Cut (http://en.wikipedia.org/wiki/Max-flow_min-cut_theorem_
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18. Simplifying the graph – step 2 –
homeograph’ing (http://enc.tfode.com/Homeomorphism_(graph_theory))
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22. Benefits
• Gives you the correlation between findings of
the same type (SQLi) and different types.
• You are not dealing with individual findings –
but with a complete system
•Title inyour time bold
Use white and better