The value of the fast growing class of big data technologies is the ability to handle high velocity and volumes of data. However, a lack of robust security and auditing capabilities are holding organizations back from fully using the potential of these systems. Learn how you can use Big Data technologies to help you meet this compliance and data protection challenge head on so you can return to innovating for competitive advantage.
Using InfoSphere Guardium and BigInsights, we'll show you how you can meet your Hadoop security, compliance and audit requirements.
Big Data and Security - Where are we now? (2015)Peter Wood
Peter Wood started looking at Big Data as a solution for Advanced Threat Protection in 2013. This presentation examines how Big Data is being used for security in 2015, how this market is developing and how realistic vendor offerings are.
Data loss prevention by using MRSH-v2 algorithm IJECEIAES
Sensitive data may be stored in different forms. Not only legal owners but also malicious people are interesting of getting sensitive data. Exposing valuable data to others leads to severe Consequences. Customers, organizations, and /or companies lose their money and reputation due to data breaches. There are many reasons for data leakages. Internal threats such as human mistakes and external threats such as DDoS attacks are two main reasons for data loss. In general, data may be categorized based into three kinds: data in use, data at rest, and data in motion. Data Loss Prevention (DLP) are good tools to identify important data. DLP can do analysis for data content and send feedback to administrators to make decision such as filtering, deleting, or encryption. Data Loss Prevention (DLP) tools are not a final solution for data breaches, but they consider good security tools to eliminate malicious activities and protect sensitive information. There are many kinds of DLP techniques, and approximation matching is one of them. Mrsh-v2 is one type of approximation matching. It is implemented and evaluated by using TS dataset and confusion matrix. Finally, Mrsh-v2 has high score of true positive and sensitivity, and it has low score of false negative.
Shariyaz abdeen data leakage prevention presentationShariyaz Abdeen
Data leakage prevention is one of the key topics which we have been talking in present. Due to the organizations moving towards big data, financial systems.. which resides in cyber space, there is an increasing number of frauds associated with the technology revolution in the cyberspace.This post highlights the threats and the counter measures, so we can protect the sensitive personal data. I prefer the approach of “ Trust but verify model ”.
Practical advice for cloud data protection ulf mattsson - oracle nyoug sep ...Ulf Mattsson
Practical Advice for Cloud Data Security for Oracle
Learn about critical security issues in the Cloud in relation to databases
Learn about Cloud data security guidance and standards
Learn Cloud data security technologies, models and Cloud security in context to the enterprise
The rapid rise of cloud databases, storage and applications has led to unease among adopters over the security of their data. Whether it is data stored in a public, private or hybrid cloud, or used in third party SaaS applications, companies have good reason to be concerned.
In this session Protegrity CTO and data security thought leader Ulf Mattsson will focus on practical advice on what to look for in cloud service providers and a review of the technologies and architectures available to protect sensitive data in the cloud, both on- and off-site. Through real life use cases, Ulf will discuss solutions to some of the most common issues of usability, database indexing, database searches, separation of duties, key management, tokenization, compliance, privacy and security in the cloud environment.
At the highest level, our mission continues to be about keeping our customers (companies and governments) safe from ever-evolving digital threats, so they are confident to move business forward. Our strategy to accomplish this mission centers around four key pillars: Advanced Threat Protection, Information Protection for On Premise and Cloud, Security as a Service -- all anchored by a Unified Security Analytics Platform. Symantec Data Loss Prevention is a foundational product in the Information Protection for On Premise and Cloud pillar.
Everyone knows that storing and accessing data and applications in the cloud and on mobile devices provides makes work much easier and productive by allowing employees to work everywhere they need to.
It allows for great business agility – applications are always up to date, new functionality and processes can be deployed and activated quickly and organizations can adjust things on the fly if they need to.
It also brings the convenience factor – all employees to work in the way that they need to, collaboration and sharing is made vastly easier with cloud applications and storage.
But it brings with it all the challenges of securing devices and applications that your don’t own, and whilst saying NO might be the right thing for security, end users will find a way around it. Right now, close to 30% of employees use their personal devices for work. And that number is on the rise, potentially turning BYOD into Bring Your Own Disaster.
Big Data and Security - Where are we now? (2015)Peter Wood
Peter Wood started looking at Big Data as a solution for Advanced Threat Protection in 2013. This presentation examines how Big Data is being used for security in 2015, how this market is developing and how realistic vendor offerings are.
Data loss prevention by using MRSH-v2 algorithm IJECEIAES
Sensitive data may be stored in different forms. Not only legal owners but also malicious people are interesting of getting sensitive data. Exposing valuable data to others leads to severe Consequences. Customers, organizations, and /or companies lose their money and reputation due to data breaches. There are many reasons for data leakages. Internal threats such as human mistakes and external threats such as DDoS attacks are two main reasons for data loss. In general, data may be categorized based into three kinds: data in use, data at rest, and data in motion. Data Loss Prevention (DLP) are good tools to identify important data. DLP can do analysis for data content and send feedback to administrators to make decision such as filtering, deleting, or encryption. Data Loss Prevention (DLP) tools are not a final solution for data breaches, but they consider good security tools to eliminate malicious activities and protect sensitive information. There are many kinds of DLP techniques, and approximation matching is one of them. Mrsh-v2 is one type of approximation matching. It is implemented and evaluated by using TS dataset and confusion matrix. Finally, Mrsh-v2 has high score of true positive and sensitivity, and it has low score of false negative.
Shariyaz abdeen data leakage prevention presentationShariyaz Abdeen
Data leakage prevention is one of the key topics which we have been talking in present. Due to the organizations moving towards big data, financial systems.. which resides in cyber space, there is an increasing number of frauds associated with the technology revolution in the cyberspace.This post highlights the threats and the counter measures, so we can protect the sensitive personal data. I prefer the approach of “ Trust but verify model ”.
Practical advice for cloud data protection ulf mattsson - oracle nyoug sep ...Ulf Mattsson
Practical Advice for Cloud Data Security for Oracle
Learn about critical security issues in the Cloud in relation to databases
Learn about Cloud data security guidance and standards
Learn Cloud data security technologies, models and Cloud security in context to the enterprise
The rapid rise of cloud databases, storage and applications has led to unease among adopters over the security of their data. Whether it is data stored in a public, private or hybrid cloud, or used in third party SaaS applications, companies have good reason to be concerned.
In this session Protegrity CTO and data security thought leader Ulf Mattsson will focus on practical advice on what to look for in cloud service providers and a review of the technologies and architectures available to protect sensitive data in the cloud, both on- and off-site. Through real life use cases, Ulf will discuss solutions to some of the most common issues of usability, database indexing, database searches, separation of duties, key management, tokenization, compliance, privacy and security in the cloud environment.
At the highest level, our mission continues to be about keeping our customers (companies and governments) safe from ever-evolving digital threats, so they are confident to move business forward. Our strategy to accomplish this mission centers around four key pillars: Advanced Threat Protection, Information Protection for On Premise and Cloud, Security as a Service -- all anchored by a Unified Security Analytics Platform. Symantec Data Loss Prevention is a foundational product in the Information Protection for On Premise and Cloud pillar.
Everyone knows that storing and accessing data and applications in the cloud and on mobile devices provides makes work much easier and productive by allowing employees to work everywhere they need to.
It allows for great business agility – applications are always up to date, new functionality and processes can be deployed and activated quickly and organizations can adjust things on the fly if they need to.
It also brings the convenience factor – all employees to work in the way that they need to, collaboration and sharing is made vastly easier with cloud applications and storage.
But it brings with it all the challenges of securing devices and applications that your don’t own, and whilst saying NO might be the right thing for security, end users will find a way around it. Right now, close to 30% of employees use their personal devices for work. And that number is on the rise, potentially turning BYOD into Bring Your Own Disaster.
What’s Office 365 data loss prevention (DLP)? How does DLP function? How to configure and deploy DLP? What else you can do to protect data besides DLP?
Threat Ready Data: Protect Data from the Inside and the OutsideDLT Solutions
Is your current state really threat ready?
Amit Walia, Senior Vice President, General Manager of Data Integration and Security at Informatica, shares how to protect data from the inside and the outside from the 2015 Informatica Government Summit.
Security Analytics and Big Data: What You Need to KnowMapR Technologies
The number of attacks on organization's' IT infrastructure are continuously increasing. It is becoming more and more difficult to identify unknown threats, in particular. This problem requires the ability to store more data and better tools to analyze the data.
Learn in this webinar why big data is enabling new security analytics solutions and why the MapR Quick Start Solution for Security Analytics offers an easy starting point for faster and deeper security analytics.
Symantec Data Loss Prevention 11 simplifies the detection and protection of intellectual property. Symantec’s market-leading data security suite features Vector Machine Learning, which makes it easier to detect hard-to-find intellectual property, and enhancements to Data Insight that streamline remediation, increasing the effectiveness of an organization’s data protection initiatives.
Overview of Data Loss Prevention (DLP) TechnologyLiwei Ren任力偉
DLP is a technology that detects potential data breach incidents in timely manner and prevents them by monitoring data in-use (endpoints), in-motion (network traffic), and at-rest (data storage). It has been driven by regulatory compliances and intellectual property protection. This talk will introduce DLP models that describe the capabilities and scope that a DLP system should cover. A few system categories will be discussed accordingly with high-level system architecture. DLP is an interesting technology in that it provides advanced content inspection techniques. As such, a few content inspection techniques will be proposed and investigated in rigorous terms.
Data Security: Why You Need Data Loss Prevention & How to Justify ItMarc Crudgington, MBA
With the increasing number of cyber-attacks and incidents seeming to occur weeks/months/years before discovery of breach, simply securing your perimeter is no longer enough to protect your most critical assets. Privacy breaches are averaging upwards of $200 per record and studies have shown at intellectual property infringement cost the average company $101.9 million in revenues.
Key points addressed include:
• The Impact of Cyber Crime on our Economy
• The Cost Companies are incurring due to Cyber Crime and Data Breaches
• Who are the threat actors?
• What makes up a Data Loss Prevention ecosystem?
• What does a Data Loss Prevention strategy do for me?
• Hidden Benefits of Data Loss Prevention
• Justifying a Data Loss Prevention Strategy
Big Data is the "next" Bg Technology and Business and Hadoop is one of the important framework of Big Data. Hadoop is currently used by Yahoo, EBay and 100s of organisations.
As the Big Data use cases will grow, security of Big Data technologies, solutions and applications will become extremely important. In this presentation, I have described top 5 key security challenges related to developing Big Data solutions and applications.
In shared infrastructures such as clouds, sensitive or regulated data—including run-time and archived data—must be properly segregated from unauthorized users. Database and system administrators may have access to multiple clients’ data, and the location of stored data in a cloud may change rapidly. Compliance requirements such as Payment Card Industry Data Security Standard (PCI-DSS), Health Insurance Portability and Accountability Act (HIPAA) and others may need to be met. This webinar will discuss how to help protect cloud-based customer information and intellectual property from both external and internal threats.
View the On-demand webinar: https://www2.gotomeeting.com/register/187735186
Best Practices for Implementing Data Loss Prevention (DLP)Sarfaraz Chougule
Vast amounts of your organization's sensitive data are accessible, stored, and used by authorized employees and partners on a host of devices and servers. Protecting that data where ever it is stored or travels is a top priority.
Reddix Group - Quantum AI - PresentationJoe Reddix
Although AI/ML has made rapid progress over the past decade, it has not yet overcome technological limitations. With the unique features of quantum computing, obstacles to achieve AGI (Artificial General Intelligence) can be eliminated. Quantum computing can be used for the rapid training of machine learning models and to create optimized algorithms. This is what we call Master Systems Integration (MSI).
An optimized and stable AI provided by quantum computing can complete years of analysis in a short time and lead to advances in technology. Neuromorphic cognitive models, adaptive machine learning, or reasoning under uncertainty are some fundamental challenges of today’s AI. Quantum AI (Q-AI) is one of the most likely solutions for next-generation AI and is where our teams of SMEs excel
What’s Office 365 data loss prevention (DLP)? How does DLP function? How to configure and deploy DLP? What else you can do to protect data besides DLP?
Threat Ready Data: Protect Data from the Inside and the OutsideDLT Solutions
Is your current state really threat ready?
Amit Walia, Senior Vice President, General Manager of Data Integration and Security at Informatica, shares how to protect data from the inside and the outside from the 2015 Informatica Government Summit.
Security Analytics and Big Data: What You Need to KnowMapR Technologies
The number of attacks on organization's' IT infrastructure are continuously increasing. It is becoming more and more difficult to identify unknown threats, in particular. This problem requires the ability to store more data and better tools to analyze the data.
Learn in this webinar why big data is enabling new security analytics solutions and why the MapR Quick Start Solution for Security Analytics offers an easy starting point for faster and deeper security analytics.
Symantec Data Loss Prevention 11 simplifies the detection and protection of intellectual property. Symantec’s market-leading data security suite features Vector Machine Learning, which makes it easier to detect hard-to-find intellectual property, and enhancements to Data Insight that streamline remediation, increasing the effectiveness of an organization’s data protection initiatives.
Overview of Data Loss Prevention (DLP) TechnologyLiwei Ren任力偉
DLP is a technology that detects potential data breach incidents in timely manner and prevents them by monitoring data in-use (endpoints), in-motion (network traffic), and at-rest (data storage). It has been driven by regulatory compliances and intellectual property protection. This talk will introduce DLP models that describe the capabilities and scope that a DLP system should cover. A few system categories will be discussed accordingly with high-level system architecture. DLP is an interesting technology in that it provides advanced content inspection techniques. As such, a few content inspection techniques will be proposed and investigated in rigorous terms.
Data Security: Why You Need Data Loss Prevention & How to Justify ItMarc Crudgington, MBA
With the increasing number of cyber-attacks and incidents seeming to occur weeks/months/years before discovery of breach, simply securing your perimeter is no longer enough to protect your most critical assets. Privacy breaches are averaging upwards of $200 per record and studies have shown at intellectual property infringement cost the average company $101.9 million in revenues.
Key points addressed include:
• The Impact of Cyber Crime on our Economy
• The Cost Companies are incurring due to Cyber Crime and Data Breaches
• Who are the threat actors?
• What makes up a Data Loss Prevention ecosystem?
• What does a Data Loss Prevention strategy do for me?
• Hidden Benefits of Data Loss Prevention
• Justifying a Data Loss Prevention Strategy
Big Data is the "next" Bg Technology and Business and Hadoop is one of the important framework of Big Data. Hadoop is currently used by Yahoo, EBay and 100s of organisations.
As the Big Data use cases will grow, security of Big Data technologies, solutions and applications will become extremely important. In this presentation, I have described top 5 key security challenges related to developing Big Data solutions and applications.
In shared infrastructures such as clouds, sensitive or regulated data—including run-time and archived data—must be properly segregated from unauthorized users. Database and system administrators may have access to multiple clients’ data, and the location of stored data in a cloud may change rapidly. Compliance requirements such as Payment Card Industry Data Security Standard (PCI-DSS), Health Insurance Portability and Accountability Act (HIPAA) and others may need to be met. This webinar will discuss how to help protect cloud-based customer information and intellectual property from both external and internal threats.
View the On-demand webinar: https://www2.gotomeeting.com/register/187735186
Best Practices for Implementing Data Loss Prevention (DLP)Sarfaraz Chougule
Vast amounts of your organization's sensitive data are accessible, stored, and used by authorized employees and partners on a host of devices and servers. Protecting that data where ever it is stored or travels is a top priority.
Reddix Group - Quantum AI - PresentationJoe Reddix
Although AI/ML has made rapid progress over the past decade, it has not yet overcome technological limitations. With the unique features of quantum computing, obstacles to achieve AGI (Artificial General Intelligence) can be eliminated. Quantum computing can be used for the rapid training of machine learning models and to create optimized algorithms. This is what we call Master Systems Integration (MSI).
An optimized and stable AI provided by quantum computing can complete years of analysis in a short time and lead to advances in technology. Neuromorphic cognitive models, adaptive machine learning, or reasoning under uncertainty are some fundamental challenges of today’s AI. Quantum AI (Q-AI) is one of the most likely solutions for next-generation AI and is where our teams of SMEs excel
The only way to get where we need to be in security analysis is if we use Security Intelligence. This means working harder and understanding the big picture of your data.
On Thursday 19 November 2015, the British Embassy in Paris hosted a second trilateral workshop with French, German and British delegates from the research, government and business sectors to discuss the importance of energy storage.
#MFSummit2016 Secure: How Security and Identity Analytics can Drive Adaptive ...Micro Focus
‘Data violators’ have outpaced data defenders. But security and identity analytics can level the playing field. Learn how identity, access and security disciplines can benefit from:
Risk-based authentication
Data exfiltration identification
Malicious insider activity disruption
Adaptive access certification
Presenter: Adam Evans, Solutions Consulting
Final presentation january iia cybersecurity securing your 2016 audit planCameron Forbes Over
With 2015 cybersecurity themes and realities nearly in the rearview mirror, “Cybersecurity – Securing your 2016 Audit Plan” will shift our outlook to looking forward into what cybersecurity predictions are being made for 2016, and what key topics and themes will drive 2016 audit planning in the cybersecurity area.
Hadoop Security in Big-Data-as-a-Service Deployments - Presented at Hadoop Su...Abhiraj Butala
The talk covers limitations of current Hadoop eco-system components in handling security (Authentication, Authorization, Auditing) in multi-tenant, multi-application environments. Then it proposes how we can use Apache Ranger and HDFS super-user connections to enforce correct HDFS authorization policies and achieve the required auditing.
XA Secure | Whitepaper on data security within Hadoopbalajiganesan03
Enterprises adopting Hadoop and other big data tools need to ensure that they the data they are storing and processing is internally protected through strong access control, auditing and governance. This whitepaper talks to current challenges with Hadoop, the initiatives within the open source community and how XA Secure can help with its approach.
You can watch the replay for this Geek Sync webcast in the IDERA Resource Center: http://ow.ly/BgJm50A5oxB
Database security is critical these days with all of today’s growing regulatory and privacy requirements. While application developers might build some basic access security into their code, ultimately the buck stops at the database as the last bastion or firewall against data theft. So what Oracle features should DBA’s know and consider using? How do they work? What overhead if any do they add? Can those supplant or supplement what the developers build into the applications? DBA’s now more than ever must consider database security far more than just creating simple database user accounts.
Join IDERA and Oracle ACE Bert Scalzo while he covers all of the many fundamental database security mechanisms within Oracle and how to best leverage them. Furthermore examples both good and bad will be shown to make key points. Afterward DBA’s may well see their Oracle security options and alternatives in a far more comprehensive and positive light.
CISSPills are short-lasting presentations covering topics to study in order to prepare CISSP exam. CISSPills is a digest of my notes and doesn't want to replace a studybook, it wants to be only just another companion for self-paced students.
Every issue covers different topics of CISSP's CCBK and the goal is addressing all the 10 domains which compose CISSP.
IN THIS ISSUE:
Domain 3: Information Security Governance and Risk Management
- Security and Audit Frameworks and Methodologies
- COSO
- CobiT
- Frameworks Relationship
- ITIL
- ISO/IEC 27000 Series
The IBM Security Client References Guide includes summary slides of IBM clients across various industries that have successfully implemented solutions from the IBM Security Portfolio.
90 % av alla dataintrång fokuserar på data i databaser. Det är där ditt företags känsliga och åtråvärda information finns. I 38 % av dessa intrång tar det minuter att få ut känsligt data, samtidigt som det för hälften av intrången tar månader eller mer innan de upptäcks. Dave Valovcin, från IBM WW Guardium Sales, berättar om hur du kan skydda din känsliga data.
Your Mainframe Environment is a Treasure Trove: Is Your Sensitive Data Protec...IBM Security
Businesses and governments alike are experiencing an alarming rate of malicious activity from both external and internal actors.
Not surprisingly, mission-critical mainframe applications make for desirable targets with large repositories of enterprise customer sensitive data. Mainframe environments are increasingly at risk opening accesses through the internet, mobile initiatives, big data initiatives, social initiatives, and more to drive the business forward. Additionally, there are some security challenges that are specific to the mainframe - traditional protection methods are no longer enough, insider threats are also on the rise, mainframe environments could be more vulnerable with reliance on privilege users to administer security, silo-ed mainframe IT management, limited ownership visibility, and lack of uniformed security management across the enterprise.
View this on-demand webcast to learn more about specific mainframe data protection challenges, top tips for protecting sensitive data, and key data protection capabilities that you should consider to address these challenges.
Register here for the playback: https://event.on24.com/wcc/r/1461947/D9664CC82EC641AA58D35462DB703470
David Cass discusses the role of security and how best practices can be used to accelerate cloud adoption and success.
Learn more by visiting our Bluemix Hybrid page: http://ibm.co/1PKN23h
Speaker: David Cass (Vice President, Cloud and SaaS CISO)
Avoiding the Data Compliance "Hot Seat"IBM Security
View on demand: http://event.on24.com/wcc/r/1059973/D8BA686B6DACA4DB5A43CC08BD4BBDFC
Audits can occur at any time; do you know where your personal and corporate sensitive data resides? Do you have the right measures in place to protect it? You need to be prepared to answer questions about roles and responsibilities in your organization, such as:
- Do you have documentation about who needs to do what?
- Do you have well-defined roles, responsibilities and processes for data security operations, auditing and managing compliance and policy mandates?
- Do you have evidence that you are following these processes and procedures?
Join this webcast to learn how you can take control with automated data security to cost-effectively address regulations, avoid fines and stay out of the hot seat.
Bridging the Gap Between Your Security Defenses and Critical DataIBM Security
View on-demand recording: http://securityintelligence.com/events/bridging-the-gap-between-your-security-defenses-and-critical-data/
Many organizations are struggling with the growing gap between the vulnerability of critical data and security defenses. You need visibility at all times to prevent external and internal database breaches. Your organization can't lose sight of the importance of the integrity of your data, including unauthorized changes and suspicious activity.
You will learn how combining the industry-leading security intelligence capabilities of IBM QRadar Security Intelligence Platform with the robust data security capabilities of IBM Security Guardium data activity monitor, organizations can gain actionable insights to reduce security risks at all layers and boost compliance across the enterprise.
In this live webinar, Sally Fabian, IBM Data Security Technical Specialist, will discuss:
- Architecture and integration points
- Real-time alerts and reporting
- Vulnerability assessments according to your risk score
- Security intelligence event log collection and analytics
- Actionable insights from security events
Best practices for mobile enterprise security and the importance of endpoint ...Chris Pepin
With the rapid growth of smartphones and tablets in the enterprise, CIOs are struggling to secure mobile devices and data across a wide range of mobile platforms. Attend this session to learn best practices around defining a mobile security policy, educating employees about safe computing practices, and deploying a secure technology framework. We'll discuss the benefits of endpoint management solutions like IBM Endpoint Manager in the context of a comprehensive enterprise deployment encompassing smartphones, tablets, PCs and servers.
At RSA Europe 2010, Ron Lapedis and Michael F. Angelo did a presentation on Consumerization, titled: "Bring Your Own Computer to Work – What Now?". The presentation covered Consumerization issues as embodied with the use of non-corporate owned computers in the corporate environment. With this in mind, they discussed the potential bleed out of intellectual property and mitigation techniques. You can read Michael's blogs on the subject here: http://bit.ly/11BhzC
Automation: Embracing the Future of SecOpsIBM Security
Join Mike Rothman, Analyst & President of Securosis and Ted Julian, VP of Product Management and co-founder of IBM Resilient, for a webinar on common automation use cases for the Security Operations Center (SOC).
Security Orchestration, Automation and Response (SOAR) tools are garnering interest in enterprise security teams due to tangible short-term benefits.
Watch the recording: https://event.on24.com/wcc/r/2007717/385A881A097E8EFCE493981972303416?partnerref=LI
Are your Cloud Services Secure and Compliant today?Sridhar Karnam
The cyber threat landscape is evolving faster than security teams can manage without dramatically increasing headcount. As IT organizations seek to achieve new levels of IT efficiency and value for the hybrid cloud, both security and compliance headaches increase in severity as well. See how HP is delivering advanced, data-driven security technologies designed to empower security operations to run more efficiently for the Hybrid Cloud.
Register for this webinar to learn how you can benefit from a new style of IT through the combined wealth of information assimilated from multiple sources to provide you valuable insights that impact your business. In addition you will learn how you can enjoy the use of secure compliant cloud services, that can be consolidated in one view and automated to the click of a button.
Cloud Security: What you need to know about IBM SmartCloud SecurityIBM Security
Safeguarding the cloud with IBM Security solutions - Maintain visibility and control with proven security solutions for public, private and hybrid clouds.
Benchmarking SQL-on-Hadoop Systems: TPC or not TPC?Nicolas Morales
Abstract. Benchmarks are important tools to evaluate systems, as long as their results are transparent, reproducible and they are conducted with due diligence. Today, many SQL-on-Hadoop vendors use the data generators and the queries of existing TPC benchmarks, but fail to adhere to the rules, producing results that are not transparent. As the SQL-on-Hadoop movement continues to gain more traction, it is important to bring some order to this \wild west" of benchmarking. First, new rules and policies should be dened to satisfy the demands of the new generation SQL systems. The new benchmark evaluation schemes should be inexpensive, eective and open enough to embrace the variety of SQL-on-Hadoop systems and their corresponding vendors. Second, adhering to the new standards requires industry commitment and collaboration. In this paper, we discuss the problems we observe in the current practices of benchmarking, and present our proposal for bringing standardization in the SQL-on-Hadoop space.
Getting started with Hadoop on the Cloud with BluemixNicolas Morales
Silicon Valley Code Camp -- October 11, 2014.
Session: Getting started with Hadoop on the Cloud.
Hadoop and Cloud is an almost perfect marriage. Hadoop is a distributed computing framework that leverages a cluster built on commodity hardware. The Cloud simplifies provisioning of machines and software. Getting started with Hadoop on the Cloud makes it simple to provision your environment quickly and actually get started using Hadoop. IBM Bluemix has democratized Hadoop for the masses! This session will provide a brief introduction to what Hadoop is, how does cloud work and will then focus on how to get started via a series of demos. We will conclude with a discussion around the tutorials and public datasets - all of the tools needed to get you started quickly.
Learn more about BigInsights for Hadoop: https://developer.ibm.com/hadoop/
InfoSphere BigInsights for Hadoop @ IBM Insight 2014Nicolas Morales
InfoSphere BigInsights for Hadoop
Visit the IM Demo Room to learn more about Hadoop, InfoSphere BigInsights, Big SQL and more.
For more information:
- Hadoop and Big SQL, visit ibm.com/hadoop
- BigInsights Developer Community: https://developer.ibm.com/hadoop/
- IBM Insight 2014, visit ibm.com/software/events/insight
IBM Big SQL @ Insight 2014
Visit IBM Big SQL in the Information Management Demo room @ pedestal HD-01.
For more information:
- IBM Big SQL technology preview, visit http://ibm.biz/bigsqlpreview
- Hadoop and Big SQL, visit ibm.com/hadoop
- BigInsights Developer Community: https://developer.ibm.com/hadoop/
- IBM Insight 2014, visit ibm.com/software/events/insight
Challenges of Building a First Class SQL-on-Hadoop EngineNicolas Morales
Challenges of Building a First Class SQL-on-Hadoop Engine:
Why and what is Big SQL 3.0?
Overview of the challenges
How we solved (some of) them
Architecture and interaction with Hadoop
Query rewrite
Query optimization
Future challenges
BigInsights and Text Analytics.
As enterprises seek to gain operational efficiencies and competitive advantage through greater use of analytics, much of the new information they need to analyze is found in text documents and, increasingly, in a wide variety of social media sites and portals. A critical step in gaining insights from this information is extracting core data from huge volumes of text. That data is then available for downstream analytic, mining and machine learning tools. AQL (Annotator Query Language) is a powerful declarative, rule-based language for the extraction of information from text documents.
Social Data Analytics using IBM Big Data TechnologiesNicolas Morales
Distilling Insights from Social Media Using Big Data Technologies
Have you ever wondered what your customers are saying about you in Social media, and the impact it might be having on your business? This session will focus on how BigInsights and Big Data technologies can be used to glean useful and actionable insights from social media data.
You'll see how data can be ingested and prepped and do text analytics on social data in real time. Using Hadoop, we'll show you how you can store and analyze your large volume of historical social media data and reference data. This talk and demo will provide an introduction to text analytics and how it is used within the IBM Big Data platform for a social media solution.
Gain New Insights by Analyzing Machine Logs using Machine Data Analytics and BigInsights.
Half of Fortune 500 companies experience more than 80 hours of system down time annually. Spread evenly over a year, that amounts to approximately 13 minutes every day. As a consumer, the thought of online bank operations being inaccessible so frequently is disturbing. As a business owner, when systems go down, all processes come to a stop. Work in progress is destroyed and failure to meet SLA’s and contractual obligations can result in expensive fees, adverse publicity, and loss of current and potential future customers. Ultimately the inability to provide a reliable and stable system results in loss of $$$’s. While the failure of these systems is inevitable, the ability to timely predict failures and intercept them before they occur is now a requirement.
A possible solution to the problem can be found is in the huge volumes of diagnostic big data generated at hardware, firmware, middleware, application, storage and management layers indicating failures or errors. Machine analysis and understanding of this data is becoming an important part of debugging, performance analysis, root cause analysis and business analysis. In addition to preventing outages, machine data analysis can also provide insights for fraud detection, customer retention and other important use cases.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.