For many companies, Cyber Security is achieved solely through the application of technological solutions to software and hardware challenges. Schneider-Electric takes a more holistic approach with a program built around complete product lifecycles and encompassing safety, maintenance and security. Discover Schneider-Electric's cyber security vision, from understanding how secure functionality is engineered into products through the tools and support available to manage updates and patches, plus specific procedures for handling potential vulnerabilities. A software and hardware ecosystem is only as strong as its weakest component, and Schneider-Electric is working to strengthen this through StruXureware and the evolution of platforms.
Technology Overview - Symantec Data Loss Prevention (DLP)Iftikhar Ali Iqbal
The presentation provides the following:
- Symantec Corporate Overview
- Solution Portfolio of Symantec
- Symantec Data Loss Prevention - Introduction
- Symantec Data Loss Prevention - Components
- Symantec Data Loss Prevention - Features & Use Cases
- Symantec Data Loss Prevention - System Requirements
- Symantec Data Loss Prevention - Appendix (extra information)
This provides a brief overview of Symantec Data Loss Prevention (DLP). Please note all the information is based prior to May 2016 and the full integration of Blue Coat Systems's set of solutions.
As organizations struggle to mature their security and IT service profiles across expanding numbers of endpoints, they are increasingly turning to the proactive management capabilities of endpoint detection and responses platforms.
To provide organizations with a clear example of how to identify the most effective EDRP solutions, leading IT analyst firm Enterprise Management Associates (EMA) has conducted independent and objective research on the features and capabilities of two of the leading solution suites in this market: Tanium Core and 1E Tachyon.
Big Data & Analytics (Conceptual and Practical Introduction)Yaman Hajja, Ph.D.
A 3-day interactive workshop for startups involve in Big Data & Analytics in Asia. Introduction to Big Data & Analytics concepts, and case studies in R Programming, Excel, Web APIs, and many more.
DOI: 10.13140/RG.2.2.10638.36162
AI Data Acquisition and Governance: Considerations for SuccessDatabricks
data pipeline, governance, and for growth and updating models regularly needs to be part of the AI strategy from the outset.
This session will cover:
Defining AI governance: What this means and how definitions of subjects like ethics and effectiveness can differ between organizations.
Data governance: Companies must rely on an AI governance program to ensure only high-quality, unbiased and consistent data are used in training.
AI is a growing necessity for enterprises / businesses; it provides an avenue for scaling quickly and efficiently.
Best practices / implementation: how to implement AI that meets the requirements of the organization’s defined sets of governances.
Planning the data pipeline and growing/updating the models: AI is not static in the real world; models must be frequently updated to maintain relevance and accuracy.
3 key takeaways or attendee benefits of the session:
Understand how to assess your organization’s need for AI; how to identify the opportune areas for transforming processes, interactions, scaling, cost.
How to start the implementation process. Defining data and AI governance and how to build the training data pipeline within that framework.
Best practices for maintaining AI; how to use data to evaluate models and continuously iterate on them to reflect the real world.
For many companies, Cyber Security is achieved solely through the application of technological solutions to software and hardware challenges. Schneider-Electric takes a more holistic approach with a program built around complete product lifecycles and encompassing safety, maintenance and security. Discover Schneider-Electric's cyber security vision, from understanding how secure functionality is engineered into products through the tools and support available to manage updates and patches, plus specific procedures for handling potential vulnerabilities. A software and hardware ecosystem is only as strong as its weakest component, and Schneider-Electric is working to strengthen this through StruXureware and the evolution of platforms.
Technology Overview - Symantec Data Loss Prevention (DLP)Iftikhar Ali Iqbal
The presentation provides the following:
- Symantec Corporate Overview
- Solution Portfolio of Symantec
- Symantec Data Loss Prevention - Introduction
- Symantec Data Loss Prevention - Components
- Symantec Data Loss Prevention - Features & Use Cases
- Symantec Data Loss Prevention - System Requirements
- Symantec Data Loss Prevention - Appendix (extra information)
This provides a brief overview of Symantec Data Loss Prevention (DLP). Please note all the information is based prior to May 2016 and the full integration of Blue Coat Systems's set of solutions.
As organizations struggle to mature their security and IT service profiles across expanding numbers of endpoints, they are increasingly turning to the proactive management capabilities of endpoint detection and responses platforms.
To provide organizations with a clear example of how to identify the most effective EDRP solutions, leading IT analyst firm Enterprise Management Associates (EMA) has conducted independent and objective research on the features and capabilities of two of the leading solution suites in this market: Tanium Core and 1E Tachyon.
Big Data & Analytics (Conceptual and Practical Introduction)Yaman Hajja, Ph.D.
A 3-day interactive workshop for startups involve in Big Data & Analytics in Asia. Introduction to Big Data & Analytics concepts, and case studies in R Programming, Excel, Web APIs, and many more.
DOI: 10.13140/RG.2.2.10638.36162
AI Data Acquisition and Governance: Considerations for SuccessDatabricks
data pipeline, governance, and for growth and updating models regularly needs to be part of the AI strategy from the outset.
This session will cover:
Defining AI governance: What this means and how definitions of subjects like ethics and effectiveness can differ between organizations.
Data governance: Companies must rely on an AI governance program to ensure only high-quality, unbiased and consistent data are used in training.
AI is a growing necessity for enterprises / businesses; it provides an avenue for scaling quickly and efficiently.
Best practices / implementation: how to implement AI that meets the requirements of the organization’s defined sets of governances.
Planning the data pipeline and growing/updating the models: AI is not static in the real world; models must be frequently updated to maintain relevance and accuracy.
3 key takeaways or attendee benefits of the session:
Understand how to assess your organization’s need for AI; how to identify the opportune areas for transforming processes, interactions, scaling, cost.
How to start the implementation process. Defining data and AI governance and how to build the training data pipeline within that framework.
Best practices for maintaining AI; how to use data to evaluate models and continuously iterate on them to reflect the real world.
What is elastic data warehousing, and how does Snowflake uniquely enable it? Learn about the requirements needed to support flexible, elastic data warehousing using cloud infrastructure.
[Webinar Slides] Developing a Successful Data Retention Policy AIIM International
You can’t save everything for forever, but how do you find all the policies and regulations needed to factor into your policy plans? How do you decide and prioritize these competing requirements? Learn how to answer these questions and develop a successful data retention policy.
Want to follow along with the webinar replay? Download it here for free: http://info.aiim.org/developing-your-information-management-policies
Impact of Generative AI in Cybersecurity - How can ISO/IEC 27032 help?PECB
Generative AI offers great opportunities for innovation in various industries. Hence, by adopting ISO/IEC 27032, you can enhance your cybersecurity resilience and efficiently address the risks associated with generative AI.
Amongst others, the webinar covers:
• AI & Privacy
• Generative AI, Models & Cybersecurity
• AI & ISO/IEC 27032
Presenters:
Christian Grafenauer
Anonymization expert, privacy engineer, data protection officer, LegalTech researcher (GDPR, Blockchain, AI) Christian Grafenauer is an accomplished privacy engineer, anonymization expert, and computer science specialist, currently serving as the project lead for anonymity assessments at techgdpr. With an extensive background as a senior architect in Blockchain for IBM and years of research in the field since 2013, Christian co-founded privacy by Blockchain design to explore the potential of Blockchain technology in revolutionizing privacy and internet infrastructure. As a dedicated advocate for integrating legal and computer science disciplines, Christian’s expertise in anonymization and GDPR compliance enables innovative AI applications, ensuring a seamless fusion of technology and governance, particularly in the realm of smart contracts. In his role at techgdpr, he supports technical compliance, Blockchain, and AI initiatives, along with anonymity assessments. Christian also represents consumer interests as a member of the national Blockchain and DTL standardization committee at din (German standardization institute) in ISO/TC 307.
Akin Johnson
Akin J. Johnson is a renowned Cybersecurity Expert, known for his expertise in protecting digital systems from potential threats. With over a decade of experience in the field, Akin has developed a deep understanding of the ever-evolving cyber landscape.
Akin is an advocate for cybersecurity awareness and frequently shares his knowledge through speaking engagements, workshops, and publications. He firmly believes in the importance of educating individuals and organizations on the best practices for safeguarding their digital assets.
Lucas Falivene
Lucas is a highly experienced cybersecurity professional with a solid base in business, information systems, information security, and cybersecurity policy-making. A former Fulbright scholar with a Master of Science degree in Information Security Policy and Management at Carnegie Mellon University (Highest distinction) and a Master's degree in Information Security at the University of Buenos Aires (Class rank 1st). Lucas has participated in several trainings conducted by the FBI, INTERPOL, OAS, and SEI/CERT as well as in the development of 4 cyber ISO national standards.
Date: July 26, 2023
YouTube Link: https://youtu.be/QPDcROniUcc
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.
Cyber threat Intelligence and Incident Response by:-Sandeep SinghOWASP Delhi
The broad list of topics include (but not limited to):
- What is Threat Intelligence?
- Type of Threat Intelligence?
- Intelligence Lifecycle
- Threat Intelligence - Classification & Vendor Landscape
- Threat Intelligence Standards (STIX, TAXII, etc.)
- Open Source Threat Intel Tools
- Incident Response
- Role of Threat Intel in Incident Response
- Bonus Agenda
Threat Hunting - Moving from the ad hoc to the formalPriyanka Aash
In order to effectively defend your organization, you must think about the offensive strategy as well. But before we get ahead of ourselves let’s talk briefly about the building blocks of a good offense. First is an architecture that is built around a security policy that is aligned with the business risk. Risk must be understood and a cookie cutter approach must be avoided here because again every organization is different and so are their risks.
Optimizing Security Operations: 5 Keys to SuccessSirius
Organizations are suffering from cyber fatigue, with too many alerts, too many technologies, and not enough people. Many security operations center (SOC) teams are underskilled and overworked, making it extremely difficult to streamline operations and decrease the time it takes to detect and remediate security incidents.
Addressing these challenges requires a shift in the tactics and strategies deployed in SOCs. But building an effective SOC is hard; many companies struggle first with implementation and then with figuring out how to take their security operations to the next level.
Read to learn:
--Advantages and disadvantages of different SOC models
--Tips for leveraging advanced analytics tools
--Best practices for incorporating automation and orchestration
--How to boost incident response capabilities, and measure your efforts
--How the NIST Cybersecurity Framework and CIS Controls can help you establish a strong foundation
Start building your roadmap to a next-generation SOC.
Data Lake Architecture – Modern Strategies & ApproachesDATAVERSITY
Data Lake or Data Swamp? By now, we’ve likely all heard the comparison. Data Lake architectures have the opportunity to provide the ability to integrate vast amounts of disparate data across the organization for strategic business analytic value. But without a proper architecture and metadata management strategy in place, a Data Lake can quickly devolve into a swamp of information that is difficult to understand. This webinar will offer practical strategies to architect and manage your Data Lake in a way that optimizes its success.
The data lake has become extremely popular, but there is still confusion on how it should be used. In this presentation I will cover common big data architectures that use the data lake, the characteristics and benefits of a data lake, and how it works in conjunction with a relational data warehouse. Then I’ll go into details on using Azure Data Lake Store Gen2 as your data lake, and various typical use cases of the data lake. As a bonus I’ll talk about how to organize a data lake and discuss the various products that can be used in a modern data warehouse.
In this presentation we have covered the topic Data Security from the subject of Information Security. Where Data, Data Security, Security, Security Policy, Tools to secure data, Security Overview (Availability, Integrity, Authenticity, Confidentiality), Some myths and Dimensions of System Security and Security Issues are discussed.
Solution architecture for big data projects
solution architecture,big data,hadoop,hive,hbase,impala,spark,apache,cassandra,SAP HANA,Cognos big insights
Healthcare info tech systems cyber threats ABI conference 2016Amgad Magdy
Healthcare becomes one of major economic and social problems around the world. Also security and privacy challenges in the healthcare sector is a growing issue , The psychology and sociology of information technology users in healthcare sector have problems to raise awareness about cyber security issues and the efforts that do aim to protect patient health do not equal the efforts that do to protect healthcare systems and records from daily cyber threats. Recent events have made clear that hackers will find opportunities to exploit flaws in the way healthcare organizations try to manage patient data with wrong mission and outdated approach, so it will lead to data protection failure. Healthcare organizations have lack of budget especially for information technology infrastructure and lack of staff training and monitoring systems to enhance information flow inside and outside organizations, also healthcare industry facing lack of talent who can improve systems security and thinking like hackers. It's possible to decrease gap between industry and healthcare organizations by increasing awareness about security issues depend on correct mission which focusing on patient records and health , In addition to modern approach that can detect advanced threats.
What is elastic data warehousing, and how does Snowflake uniquely enable it? Learn about the requirements needed to support flexible, elastic data warehousing using cloud infrastructure.
[Webinar Slides] Developing a Successful Data Retention Policy AIIM International
You can’t save everything for forever, but how do you find all the policies and regulations needed to factor into your policy plans? How do you decide and prioritize these competing requirements? Learn how to answer these questions and develop a successful data retention policy.
Want to follow along with the webinar replay? Download it here for free: http://info.aiim.org/developing-your-information-management-policies
Impact of Generative AI in Cybersecurity - How can ISO/IEC 27032 help?PECB
Generative AI offers great opportunities for innovation in various industries. Hence, by adopting ISO/IEC 27032, you can enhance your cybersecurity resilience and efficiently address the risks associated with generative AI.
Amongst others, the webinar covers:
• AI & Privacy
• Generative AI, Models & Cybersecurity
• AI & ISO/IEC 27032
Presenters:
Christian Grafenauer
Anonymization expert, privacy engineer, data protection officer, LegalTech researcher (GDPR, Blockchain, AI) Christian Grafenauer is an accomplished privacy engineer, anonymization expert, and computer science specialist, currently serving as the project lead for anonymity assessments at techgdpr. With an extensive background as a senior architect in Blockchain for IBM and years of research in the field since 2013, Christian co-founded privacy by Blockchain design to explore the potential of Blockchain technology in revolutionizing privacy and internet infrastructure. As a dedicated advocate for integrating legal and computer science disciplines, Christian’s expertise in anonymization and GDPR compliance enables innovative AI applications, ensuring a seamless fusion of technology and governance, particularly in the realm of smart contracts. In his role at techgdpr, he supports technical compliance, Blockchain, and AI initiatives, along with anonymity assessments. Christian also represents consumer interests as a member of the national Blockchain and DTL standardization committee at din (German standardization institute) in ISO/TC 307.
Akin Johnson
Akin J. Johnson is a renowned Cybersecurity Expert, known for his expertise in protecting digital systems from potential threats. With over a decade of experience in the field, Akin has developed a deep understanding of the ever-evolving cyber landscape.
Akin is an advocate for cybersecurity awareness and frequently shares his knowledge through speaking engagements, workshops, and publications. He firmly believes in the importance of educating individuals and organizations on the best practices for safeguarding their digital assets.
Lucas Falivene
Lucas is a highly experienced cybersecurity professional with a solid base in business, information systems, information security, and cybersecurity policy-making. A former Fulbright scholar with a Master of Science degree in Information Security Policy and Management at Carnegie Mellon University (Highest distinction) and a Master's degree in Information Security at the University of Buenos Aires (Class rank 1st). Lucas has participated in several trainings conducted by the FBI, INTERPOL, OAS, and SEI/CERT as well as in the development of 4 cyber ISO national standards.
Date: July 26, 2023
YouTube Link: https://youtu.be/QPDcROniUcc
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.
Cyber threat Intelligence and Incident Response by:-Sandeep SinghOWASP Delhi
The broad list of topics include (but not limited to):
- What is Threat Intelligence?
- Type of Threat Intelligence?
- Intelligence Lifecycle
- Threat Intelligence - Classification & Vendor Landscape
- Threat Intelligence Standards (STIX, TAXII, etc.)
- Open Source Threat Intel Tools
- Incident Response
- Role of Threat Intel in Incident Response
- Bonus Agenda
Threat Hunting - Moving from the ad hoc to the formalPriyanka Aash
In order to effectively defend your organization, you must think about the offensive strategy as well. But before we get ahead of ourselves let’s talk briefly about the building blocks of a good offense. First is an architecture that is built around a security policy that is aligned with the business risk. Risk must be understood and a cookie cutter approach must be avoided here because again every organization is different and so are their risks.
Optimizing Security Operations: 5 Keys to SuccessSirius
Organizations are suffering from cyber fatigue, with too many alerts, too many technologies, and not enough people. Many security operations center (SOC) teams are underskilled and overworked, making it extremely difficult to streamline operations and decrease the time it takes to detect and remediate security incidents.
Addressing these challenges requires a shift in the tactics and strategies deployed in SOCs. But building an effective SOC is hard; many companies struggle first with implementation and then with figuring out how to take their security operations to the next level.
Read to learn:
--Advantages and disadvantages of different SOC models
--Tips for leveraging advanced analytics tools
--Best practices for incorporating automation and orchestration
--How to boost incident response capabilities, and measure your efforts
--How the NIST Cybersecurity Framework and CIS Controls can help you establish a strong foundation
Start building your roadmap to a next-generation SOC.
Data Lake Architecture – Modern Strategies & ApproachesDATAVERSITY
Data Lake or Data Swamp? By now, we’ve likely all heard the comparison. Data Lake architectures have the opportunity to provide the ability to integrate vast amounts of disparate data across the organization for strategic business analytic value. But without a proper architecture and metadata management strategy in place, a Data Lake can quickly devolve into a swamp of information that is difficult to understand. This webinar will offer practical strategies to architect and manage your Data Lake in a way that optimizes its success.
The data lake has become extremely popular, but there is still confusion on how it should be used. In this presentation I will cover common big data architectures that use the data lake, the characteristics and benefits of a data lake, and how it works in conjunction with a relational data warehouse. Then I’ll go into details on using Azure Data Lake Store Gen2 as your data lake, and various typical use cases of the data lake. As a bonus I’ll talk about how to organize a data lake and discuss the various products that can be used in a modern data warehouse.
In this presentation we have covered the topic Data Security from the subject of Information Security. Where Data, Data Security, Security, Security Policy, Tools to secure data, Security Overview (Availability, Integrity, Authenticity, Confidentiality), Some myths and Dimensions of System Security and Security Issues are discussed.
Solution architecture for big data projects
solution architecture,big data,hadoop,hive,hbase,impala,spark,apache,cassandra,SAP HANA,Cognos big insights
Healthcare info tech systems cyber threats ABI conference 2016Amgad Magdy
Healthcare becomes one of major economic and social problems around the world. Also security and privacy challenges in the healthcare sector is a growing issue , The psychology and sociology of information technology users in healthcare sector have problems to raise awareness about cyber security issues and the efforts that do aim to protect patient health do not equal the efforts that do to protect healthcare systems and records from daily cyber threats. Recent events have made clear that hackers will find opportunities to exploit flaws in the way healthcare organizations try to manage patient data with wrong mission and outdated approach, so it will lead to data protection failure. Healthcare organizations have lack of budget especially for information technology infrastructure and lack of staff training and monitoring systems to enhance information flow inside and outside organizations, also healthcare industry facing lack of talent who can improve systems security and thinking like hackers. It's possible to decrease gap between industry and healthcare organizations by increasing awareness about security issues depend on correct mission which focusing on patient records and health , In addition to modern approach that can detect advanced threats.
Cybersecurity is a difficult and serious endeavor which over time strives to find a balance in managing the security of computing capabilities to protect the technology which connects and enriches the lives of everyone. Peering into the future of cybersecurity provides valuable insights around the challenges and opportunities. The industry is changing rapidly and attackers seem to always be one step ahead. Organizations must not only address what is ongoing, but also prepare for how cyber-threats will maneuver in the future. The 2016 Cybersecurity Predictions presentation showcases the cause-and-effect relationships and provides insights and perspectives of the forthcoming challenges the industry is likely to face and how we can be better prepared for it.
In January IBM Security Systems has announced a new solution wherein it combines the security intelligence capabilities of QRadar SIEM and Big Data + analytics to
RSA 2014: Non-Disruptive Vulnerability Discovery, Without Scanning Your NetworkSkybox Security
Skybox has a complete portfolio solving many common problems in enterprise cyber security. In the Vulnerability and Threat Management space we offer solutions that span the entire process of discovering and remediation vulnerabilities. Liran Chen from Skybox, will be showing how our scanless vulnerability discovery feature can make a huge impact on reducing risk in the enterprise.
Security is top-of-mind for all IT pros. Here's a look at the biggest expectations & obstacles facing the industry.
Learn more: https://www.citrix.com/
5 Ways to Get Even More from Your IBM Security QRadar Investment in 2016IBM Security
View ondemand webinar: https://securityintelligence.com/events/qradar-investment-2016/
Helping you stay ahead of cybercriminals means our work at IBM Security is never done. With data coming from every direction to collect, you need real time and historical analytics to discover anomalistic conditions that often provide the early warning signs of an attacker’s presence. Join us to hear about new features in IBM Security QRadar that can provide you with better visibility into what’s happening on your network and new integrations that will help you multiply your investment and help speed your remediation efforts.
The Critical Security Controls and the StealthWatch SystemLancope, Inc.
As today’s cyber-attackers become more sophisticated and nefarious, organizations must adopt the right mix of conventional and next-generation security tools to effectively defend their infrastructure from advanced threats. The Critical Security Controls effort is a growing movement that has been helping government agencies and large enterprises prioritize their cyber security spending accordingly.
By leveraging NetFlow and other types of flow data, Lancope’s StealthWatch System delivers continuous network visibility to fulfill a number of the highest priority controls, enhancing timely detection of targeted threats and improving incident response.
Learn the latest about the Critical Security Controls and hear how the StealthWatch System fits in.
Conference Presenation Cyber security and big data , Prof. Lili SaghafiProfessor Lili Saghafi
Cyber security and big data talks about the effect of all the data that every create in the globe and how it affects our lives, I will talk about , Big Data from Social Networking and its effect on Digital Marketing, INFORMATION Assurance, Cyber Crime Definition and Examples, Recent Research Results on Cyber crime and Social Media, Cyber War and finally if there is a solution, what is that Solutions?
Managing Your Security Logs with ElasticsearchVic Hargrave
The ELK stack (Elasticsearch-Logstash-Kibana) provides a cost effective alternative to commercial SIEMs for ingesting and managing OSSEC alert logs. This presentation will show you how to construct a low cost SIEM based on ELK that rivals the capabilties of commercials SIEMs.
Tackling the cyber security threat (2016 - v1.0)Rui Miguel Feio
Every day new businesses create their presence online. The internet can be the best way of marketing a product or service and generate new leads and income. But the risks are immense. Every day, hackers compromise websites and get hold of confidential data. When this happens, this can mean the end of your business. What can you do to prevent this from happening?
Security Intelligence: Finding and Stopping Attackers with Big Data AnalyticsIBM Security
Attackers are using increasingly sophisticated methods to access your most sensitive data, and at the same time cloud, mobile and other innovations expand the perimeter you need to protect. This keynote discusses how to build a more secure enterprise with real-time analytics and behavior-based activity monitoring.
Advanced Security Intelligence tools store, correlate and analyze millions of events and flows daily to identify critical incidents your security team needs to investigate. The volume, variety and velocity involved clearly defines Security as a “Big Data challenge.”
Learn how advanced predictive analytics and incident forensics help defend against advanced attacks and respond to and remediate incidents quickly and effectively.
Data security solutions_Baltics_IBM_QRadar_SIEM_Use_Cases_28.01.2014Andris Soroka
Presentation from "International Data Protection Day" IT Security seminary on 28th of January, 2014, organized by "Data Security Solutions", IBM Security Systems partner in the Baltic States.
In this presentation we will look at the cause and effect of the problem, analyze preparedness and learn how you can better prepare, detect, respond and recover from cyber-attacks.
Keynote presentation by Dr. Haiyan Song, the SVP of Security Markets at Splunk, on transforming security for the LIFT OFF Managed Security Services Conference.
George, Tony, Michael - PECB Webinar 27701 Data Protection Risk Management V1...PECB
ISO/IEC 27701, Data Protection, and Risk Management: How do they map?
Risk management has become a very important feature when it comes to data protection and information security. Due to the criticality of data that is processed on a daily basis, risk management is highly needed to ensure that individuals’ rights are protected.
Amongst others, the webinar covers:
• Privacy, Data Protection, and Risk Management Definitions
• Privacy, Data Protection , and Risk Management Inter-relationship
• Risk Management – Real world example
• Data Protection – How would it apply to the example?
Presenters:
Anthony English
One of the top cybersecurity professionals in Atlantic Canada with extensive Canadian and International experience in cybersecurity covering risk assessment, management, mitigation, security testing, business continuity, information security management systems, architecture security reviews, project security, security awareness, lectures, presentations and standards-based compliance.
George Usi
George Usi is the CEO of Omnistruct Inc, a GaaS (cyber Governance as a Service) company with a vision to be the safety airbag of cyber risk and compliance.
After more than twenty-five years in internet open standards, networking, and security, George recognized that getting hacked in an Internet-delivered world was a matter of when. He also recognized that cyber laws with the potential of steep fines for business leaders who neglect to illustrate cyber security diligence would evolve with more aggressive sanctions in arrears of hacker success. So, he ideated a goal to eliminate cyber risk and set a mission for Omnistruct to be the “safety airbag” of cyber compliance. With a continuous audit and documentation approach, business owners can protect consumer privacy rights when they ideate, illustrate, and continuously measure their cyber posture using a new US guideline in cyber risk developed by NIST.
George attended California State University Chico, is a graduate of California State University Sacramento and a graduate of the Stanford Latino Executive Initiative (SLEI-ed) and Latino Business Action Network (LBAN) Graduate School of Business certificate program.
Michael Bastiani
Michael is a freelancer with his company Risk-BASE, available for roles as (but not limited to) risk manager, project manager, and consultant. With years of experience in the railway industry, Michael has experience in operational technology, automation, maintenance, IT, strategy, and safety. With his background as an engineer at TU Delft, one can always count on Michael to bring an innovative perspective to the table.
Date: July 20, 2022
An overview of Enterprise Security Architecture (ESA), with a brief description of its key elements: TRA/PIA, Threat Modeling, Security Controls, Risk Assessment and Security Debt.
The intelligence lifecycle entails transforming raw data into final intelligence for decision-making. Deconstruct this domain to boost your organization's cyber defenses.
This solution overview discusses solving Security Information and Event Management (SIEM) challenges with RSA Security Analytics, which enables security analysts to be effective in protecting an organization’s digital assets and IT systems.
IBM Security Strategy Intelligence, Integration and Expertise
by Marc van Zadelhoff, VP, WW Strategy and Product Management and Joe Ruthven IBM MEA Security Leader
Internet and technology are central to the processes of most modern businesses. With the trend of remote working on a rise, availing Cyber Security Solutions in Europe have become all the more important for business continuity. Cyber security involves both protecting and recovering computer systems and data from potential cyber attacks. Companies of all types and sizes must be vigilant and proactive when it comes to their online safety. After all, cyber attacks can have huge consequences.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
2. Introduction – Addressing Cyber Security (2013)
Managing Cyber Threats (2013)
Big Data Analytics in SIEM
Managing Cyber Threats (2016)
Cyber Security Control Model
Conclusion
Agenda
3. Previous presentation on Cyber Security http://www.slideshare.net/fashaye/addressing-cyber-security-26632216
addressed approach required to deal with Cyber threats in mid 2013 – threat landscape in 2016 has increased
and evolved.
Risk based approach of 2013 is still relevant, utilising relevant, but more linear, ISO 27001 processes and
activities (Plan->Do->Check->Act->Check->Act->Check->Act->Check->.... ):
Risk Assessments conducted to understand likelihood of threats and vulnerabilities and impact to the
organisation (Plan & Check)
Prevent, detect and respond to security incidents, reviewing existing state of security (Check & Act)
Measurement of control effectiveness and maturity of overall security to enable when, where and how to
improve overall security posture (Check & Act)
SIEM provides recording of security incidents and risk related information such as:
Malicious traffic to specific systems
Suspicious activity across domain boundaries
User session activity.. and more...
Outcome is that the approach is required to understand the scale and impact of Cyber Threats.
Indicators for risk exposure and control effectiveness identifies key risks over time.
Data and system centric processes and key controls already exists for dealing with Cyber Threats.
Might require help from other disciplines such as criminologists, sociologists, psychologists. lawyers etc..
leading to people and behaviour centric controls.
Introduction – Addressing Cyber Security (2013)
4. Managing Cyber Threats (2013)
Threat
Firewall
Identity and Access Manager
DLP
Vulnerability
Vulnerability Scanner
Asset
Preventative and Detective Controls
IDS/IPS
Suspicious Login or
Access Event
Malicious Port
Scanning Event
Malware
Event
Data Theft
Event
Mitigates or stop
attack against...
Discovers attack
against..
Suspicious Network
Access Event
Application; DB and OS
etc.. information
Asset
Inventory and
compliance
Information
Un-patched
OS/Application
Denial of
Service Event
Mounts attack
on..
Can be
exploited to
attack
Discovers and
protects
against
Discovers
and
protects
against.
Threat Correlation/Aggregation
Vulnerability Correlation/Aggregation
Asset Correlation/Aggregation
Event Logging and Reporting
Risk Information
SIEM & Logger
AV Gateway
ALARM Security Incidents
5. Digitalisation (specifically Internet-of-things) and business ecosystems introducing proliferation and disparate
connected systems and devices, means variety of security data are creeping up to higher volumes now more so
than ever (Gartner – Security data expect to slowly double up every year through to 2016, since 2014).
Threat landscape in 2016 has evolved, and is increasing. Cyber criminals typically blend into background
operational noise, performing undetected reconnaissance of networks over long period of time, before carrying
out attacks. Identifying these threats amongst the growing volumes of security data presents greater challenges
Data centric controls outlined, but not detailed, in 2013 approach is now more relevant. Big Data analytics
applied to Cyber Security provides another level of context. It identifies threat anomalies, patterns and predict
threats not typically derived from the traditional risk-based context.
Traditional SIEM not able to capture proliferation of new data - New generation of SIEM tools incorporate Big
Data Analytics to provide Security Analytics.
Security analytics will better consolidate all security data from disparate security tools, business applications, IT
applications, cloud applications, digital business ecosystems and business processes to deal with enterprise
level threats at real-time.
Security analytics will have the capabilities to seamlessly mine data, structured and unstructured, to enhance
threat landscape analysis and provide better visualisation of such data to further aid forensics capabilities.
Security Analyst skillset requires high level of data science and big data analytics expertise
Big Data Analytics in SIEM
6. Managing Cyber Threats (2016)
Threat
Firewall
Identity and Access Manager
DLP
Vulnerability
Vulnerability Scanner
Asset
Preventative, Predictive and Detective
Control
IDS/IPS
Suspicious Login or
Access Event
Malicious Port
Scanning Event
Malware
Event
Data Theft
Event
Mitigates or stop
attack against...
Discovers attack
against..
Suspicious Network
Access Event
Application; DB and OS
etc.. information
Asset
Inventory and
compliance
Information
Un-patched OS/Application
Denial of
Service Event
Mounts attack
on..
Can be
exploited to
attack
Discovers and
protects
against
Discovers
and
protects
against.
Unstructured Security Event Correlation/Aggregation
Threat Correlation/Aggregation
Vulnerability Correlation/Aggregation
Asset Correlation/Aggregation
Event Logging and Reporting
Predictive Modelling
Risk Information
SIEM w/Security Analytics
AV Gateway
ALARM Security Incidents
Business & IT application
Unstructured
security
events
Cloud systems
Context aware
identity data
Predicted Threats
7. Cyber Security Control Model
THREATS
INCIDENTS
COMPLIANCE
NEGATIVE BUSINESS
IMPACT
PREDICTIVE
CONTROLS
DETERRENT
CONTROLS
PREVENTATIVE
CONTROLS
CONTAINMENT
CONTROLS
ASSURANCE
CONTROLS
EVIDENTIAL
CONTROL
CORRECTIVE
CONTROLS
DETECTIVE
CONTROLS
VALUE
ASSETS
Demonstrates
Reduce
Have
Results in
VULNERABILITIES
Triggers
Triggers
Triggers
The model illustrates the basic relationships between Risks and Countermeasures driven by the control capabilities
of Security Analytics. It demonstrates how prediction and detection of threats enables proactive response to
definitive, and potential risk scenarios.
Exploit
Causing
Affecting
CountermeasuresRisk Model
Informs
8. Conclusion
Big data driven security enables organisations to gain richer context for assessing Cyber threats against their
specific business and compliance requirements
Enables a more data centric approach to traditional risk-based security intelligence
Enables a more agile approach to traditional risk-based security intelligence
Address Advanced Persistent Threats
Improve security monitoring
Data architecture to incorporate and catalogue all relevant security information across the business required for
Security Analytics
Future security strategy will feature investment and alignment of security tools enhanced with big data analytics
capabilities – This is the next challenge
Security Analytics currently addresses Cyber Threats by combining traditional human led risk analysis with
machine led data-driven, behavioural analysis - This will evolve to a machine only led, risk and data driven, Security
Analytics.
Thank You!!