BM® Security Guardium® Data Activity Monitor empowers security
teams to analyze, protect and adapt for comprehensive data protection in
heterogeneous environments, including databases, data warehouses, files,
file shares, cloud, and big-data platforms such as Hadoop and NoSQL.
IBM InfoSphere Guardium provides the simplest, most robust solution for assuring the privacy and integrity of trusted information in your data center (SAP, PeopleSoft, Cognos, Siebel, etc.) and reducing costs by automating the entire compliance auditing process in heterogeneous environments.
IT infrastructure is changing and needs controls for mobile, cloud, and big data
Guardium is the leader in database and big data security
Heterogeneous support is a great asset to leverage across the infrastructure to reduce risk
Supports separation of duties
Integration with other security products
No additional training for multiple products
This document discusses IBM's acquisition of Resilient Systems and how it will advance IBM's security strategy. It notes that the acquisition will unite security operations and incident response, deliver a single hub for response management, and allow seamless integration with IBM and third-party solutions. This will help organizations of all sizes successfully prevent, detect, and respond to cyberattacks.
This document discusses how IBM's QRadar security intelligence platform can enable service providers to extend security capabilities to customers through multi-tenancy and software-as-a-service (SaaS) delivery models. It describes QRadar's multi-tenant capabilities that allow a single deployment to securely support multiple customer domains. It also introduces the QRadar Master Console, which provides centralized monitoring and management across multiple QRadar systems. Finally, it discusses how service providers can deploy QRadar in the cloud through IBM Security Intelligence on Cloud to minimize costs and offer an operating expense model.
This document provides an overview of data loss prevention (DLP) technology. It discusses what DLP is, different DLP models for data in use, in motion, and at rest. It also covers typical DLP system architecture, approaches for data classification and identification, and some technical challenges. The document references DLP product websites and summarizes two research papers on using machine learning for automatic text classification to identify sensitive data for DLP systems.
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
SIEM stands for Security Information and Event Management. It involves collecting, aggregating, normalizing and retaining logs and other security-related data from across an organization. SIEM performs analysis on this data through correlation, prioritization and notification/alerting. It also provides reporting and workflow capabilities for security teams. While SIEM promises improved security through these functions, it requires careful planning, scoping, requirements development and ongoing focus to avoid failures and ensure value.
IBM InfoSphere Guardium provides the simplest, most robust solution for assuring the privacy and integrity of trusted information in your data center (SAP, PeopleSoft, Cognos, Siebel, etc.) and reducing costs by automating the entire compliance auditing process in heterogeneous environments.
IT infrastructure is changing and needs controls for mobile, cloud, and big data
Guardium is the leader in database and big data security
Heterogeneous support is a great asset to leverage across the infrastructure to reduce risk
Supports separation of duties
Integration with other security products
No additional training for multiple products
This document discusses IBM's acquisition of Resilient Systems and how it will advance IBM's security strategy. It notes that the acquisition will unite security operations and incident response, deliver a single hub for response management, and allow seamless integration with IBM and third-party solutions. This will help organizations of all sizes successfully prevent, detect, and respond to cyberattacks.
This document discusses how IBM's QRadar security intelligence platform can enable service providers to extend security capabilities to customers through multi-tenancy and software-as-a-service (SaaS) delivery models. It describes QRadar's multi-tenant capabilities that allow a single deployment to securely support multiple customer domains. It also introduces the QRadar Master Console, which provides centralized monitoring and management across multiple QRadar systems. Finally, it discusses how service providers can deploy QRadar in the cloud through IBM Security Intelligence on Cloud to minimize costs and offer an operating expense model.
This document provides an overview of data loss prevention (DLP) technology. It discusses what DLP is, different DLP models for data in use, in motion, and at rest. It also covers typical DLP system architecture, approaches for data classification and identification, and some technical challenges. The document references DLP product websites and summarizes two research papers on using machine learning for automatic text classification to identify sensitive data for DLP systems.
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
SIEM stands for Security Information and Event Management. It involves collecting, aggregating, normalizing and retaining logs and other security-related data from across an organization. SIEM performs analysis on this data through correlation, prioritization and notification/alerting. It also provides reporting and workflow capabilities for security teams. While SIEM promises improved security through these functions, it requires careful planning, scoping, requirements development and ongoing focus to avoid failures and ensure value.
This document provides information about Sophos, a security software company founded in 1985 in Oxford, UK. It summarizes that Sophos has approximately 2,600 employees, over 200,000 customers, and protects over 100 million users. It offers a variety of security products, including next-generation firewalls, endpoint protection, encryption, email security, and mobile security. Sophos is recognized as a leader in the Gartner Magic Quadrants for endpoint protection, unified threat management, and mobile data protection. The document promotes Sophos' security solutions as providing complete protection across networks, endpoints, and mobile devices through a unified and simple cloud-based approach.
SIEM : Security Information and Event Management SHRIYARAI4
SIEM refers to security information and event management. It collects, aggregates, normalizes, and analyzes log and event data according to preset rules and presents it in a human readable format. This allows IT security teams to filter through large amounts of network traffic and log data to detect threats and ensure compliance. A SIEM system performs functions like collection, aggregation, parsing, normalization, categorization, enrichment, indexing, and storage of log files to facilitate analysis and alert security professionals of suspicious activities.
The document discusses OpenSOC, an open source security operations center platform for analyzing 1.2 million network packets per second in real time. It provides an overview of the business case for OpenSOC, the solution architecture and design, best practices and lessons learned from deploying OpenSOC at scale. The presentation covers topics like optimizing Kafka, HBase and Storm performance through techniques like tuning configurations, designing row keys, managing region splits, and handling errors. It also discusses integrating analytics tools and the community partnership opportunities around OpenSOC.
What is SIEM? A Brilliant Guide to the BasicsSagar Joshi
SIEM is a technological solution that collects and aggregates logs from various data sources, discovers trends, and alerts when it spots anomalous activity, like a possible security threat.
This document provides an overview and agenda for a Data Loss Prevention presentation. It discusses trends in data loss, how DLP works to discover, monitor and protect data, and case studies of how DLP helps different types of insider and outsider threats. It highlights the advantages of the Symantec DLP solution, including its accuracy, sophisticated workflow for incident response, ability to identify sensitive data with Data Insight, and zero-day content detection through machine learning. The appendix discusses Symantec's leadership in the DLP market and new features of the latest DLP product version.
Security Information and Event Management (SIEM)hardik soni
CloudAccess SIEM provides security information and event management capabilities through a single integrated platform. It combines security information management, security event management, and log management functions. Some key features include intrusion detection, 24/7 monitoring, forensic analysis, vulnerability reporting, and anomalous activity alerts. CloudAccess SIEM can be deployed as software, an appliance, or a managed service. It provides real-time analysis of security alerts from network devices and applications.
Security Onion includes best-of-breed free and open tools including Suricata, Zeek, Wazuh, the Elastic Stack and many others. We created and maintain Security
the IBM Security Intelligence Platform, also known as QRadar®, integrates SIEM, log management, anomaly detection, vulnerability management, risk management and incident forensics into a unified, highly scalable, real-time solution that provides superior threat detection, greater ease of use, and low total cost of ownership compared with competitive products
The document discusses cloud computing and data security. It provides an overview of cloud computing including deployment models, service models, and sub-service models. It also discusses key aspects of cloud data security such as authentication using OTP, encryption of data using strong algorithms, and ensuring data integrity through hashing. The proposed cloud data security model uses three levels of defense - strong authentication through OTP, automatic encryption of data using a fast and strong algorithm, and fast recovery of user data.
DLP (Data Loss Protection) is NOT dead, but needs to be revisited in the context of new methodologies and threats. Here are some practical steps to improve your cybersecurity awareness and response to data loss.
This document discusses the importance of protecting sensitive data and minimizing exposure. It defines sensitive data as information that must be safeguarded from unauthorized access, such as passwords, addresses, social security numbers, and credit card information. The document outlines laws and regulations that govern sensitive data protection and explains how data is often exposed through security flaws, intrusions, phishing, or social engineering. It recommends encrypting sensitive data, restricting access to authorized individuals only, and learning from past security incidents to strengthen protections.
Web Application Firewalls (WAFs) like ModSecurity provide protection for web applications by filtering requests and blocking attacks, with ModSecurity being an open source WAF that uses rules to allow or deny content and protect against vulnerabilities. WAFs can operate in different modes like positive or negative models and be deployed in various configurations including as an appliance, cloud service, or reverse proxy. While effective, WAFs can cause false positives and reduce application performance if not configured properly.
Symantec Data Loss Prevention. Las tendencias mundiales nos muestran que el mayor porcentaje de perdida y robo de datos responde a la falta de visibilidad y el error en el manejo de los mismos. Conozca como prevenirse.
Data loss prevention ensures critical corporate information is kept safely within networks and helps administrators control data transfers. It is important for maintaining corporate image, compliance, and avoiding penalties. DLP identifies sensitive data like credit cards, social security numbers, business plans, and financial records. It monitors, detects, prevents data leakage, and notifies users of violations while protecting sensitive information. Choosing a DLP product requires considering budget, in-house vs outsourcing needs, policies, incident response, and compatibility with existing infrastructure.
The document discusses identity and access management (IAM) in the context of cloud computing. As organizations increasingly utilize cloud services, managing user identities and access across multiple cloud providers presents new challenges. Effective IAM in the cloud requires capabilities like user provisioning, de-provisioning, authentication, and managing access to data and applications across different cloud platforms. Centralized IAM is needed to maintain control and security when utilizing cloud services.
IBM Security Guardium Data Activity Monitor (Data Sheet-USEN)Peter Tutty
The IBM Security Guardium Data Activity Monitor data sheet describes a simple, robust solution for continuously monitoring access to high-value databases, data warehouses, file shares, document-sharing solutions and big data environments.
The document discusses various topics related to web security including what it is, why it is important, common types of web attacks like SQL injection, cross-site scripting, password cracking, and phishing. It also discusses methods to provide security, such as using high security passwords, digital signatures, encryption/decryption, and biometric authentication. The conclusion states that as more security methods are available for websites, the future will be safer.
Security information and event management (SIEM) technology supports threat detection, compliance and security incident management through the collection and analysis (both near real time and historical) of security events, as well as a wide variety of other event and contextual data sources.
Azure Database Services for MySQL PostgreSQL and MariaDBNicholas Vossburg
This document summarizes the Azure Database platform for relational databases. It discusses the different service tiers for databases including Basic, General Purpose, and Memory Optimized. It covers security features, high availability, scaling capabilities, backups and monitoring. Methods for migrating databases to Azure like native commands, migration wizards, and replication are also summarized. Best practices for achieving performance are outlined related to network latency, storage, and CPU.
Attack Autopsy: A Study of the Dynamic Attack ChainIBM Security
View on-demand webinar: https://securityintelligence.com/events/study-of-the-dynamic-attack-chain/
The sophistication of today’s cybersecurity threats is astounding. Attackers have an advanced toolkit and the help of their peers, and the patience of a saint but the motivations of ruthless criminal. What drives them? The thrill of the chase, for some, but mostly it’s your organization’s data. Credit card numbers, healthcare records, and more. If they can find a way in and learn their way around, they’ll take it.
View this on-demand webinar to hear Diana Kelley, security expert and IBM Executive Security Advisor, talk about details of a dynamic attack and share how the investigation unfolds. Diana will also give you an “under the hood” look at the IBM Threat Protection System and you’ll learn how to improve the security health of your organization.
This document summarizes the key findings of a survey conducted by Unisphere Research on the state of database administration. The survey found that:
1) While new technologies like Hadoop and NoSQL are gaining adoption, traditional relational database management systems (RDBMS) like Oracle and Microsoft SQL Server still form the foundation of information infrastructure for most organizations.
2) Database administrators (DBAs) are responsible for managing multiple database instances from different vendors, and the number of databases each DBA oversees is growing. DBAs are also taking on responsibility for administering new non-relational technologies like Hadoop and NoSQL.
3) Most companies use more than one database platform primarily to support different applications and user
This document provides information about Sophos, a security software company founded in 1985 in Oxford, UK. It summarizes that Sophos has approximately 2,600 employees, over 200,000 customers, and protects over 100 million users. It offers a variety of security products, including next-generation firewalls, endpoint protection, encryption, email security, and mobile security. Sophos is recognized as a leader in the Gartner Magic Quadrants for endpoint protection, unified threat management, and mobile data protection. The document promotes Sophos' security solutions as providing complete protection across networks, endpoints, and mobile devices through a unified and simple cloud-based approach.
SIEM : Security Information and Event Management SHRIYARAI4
SIEM refers to security information and event management. It collects, aggregates, normalizes, and analyzes log and event data according to preset rules and presents it in a human readable format. This allows IT security teams to filter through large amounts of network traffic and log data to detect threats and ensure compliance. A SIEM system performs functions like collection, aggregation, parsing, normalization, categorization, enrichment, indexing, and storage of log files to facilitate analysis and alert security professionals of suspicious activities.
The document discusses OpenSOC, an open source security operations center platform for analyzing 1.2 million network packets per second in real time. It provides an overview of the business case for OpenSOC, the solution architecture and design, best practices and lessons learned from deploying OpenSOC at scale. The presentation covers topics like optimizing Kafka, HBase and Storm performance through techniques like tuning configurations, designing row keys, managing region splits, and handling errors. It also discusses integrating analytics tools and the community partnership opportunities around OpenSOC.
What is SIEM? A Brilliant Guide to the BasicsSagar Joshi
SIEM is a technological solution that collects and aggregates logs from various data sources, discovers trends, and alerts when it spots anomalous activity, like a possible security threat.
This document provides an overview and agenda for a Data Loss Prevention presentation. It discusses trends in data loss, how DLP works to discover, monitor and protect data, and case studies of how DLP helps different types of insider and outsider threats. It highlights the advantages of the Symantec DLP solution, including its accuracy, sophisticated workflow for incident response, ability to identify sensitive data with Data Insight, and zero-day content detection through machine learning. The appendix discusses Symantec's leadership in the DLP market and new features of the latest DLP product version.
Security Information and Event Management (SIEM)hardik soni
CloudAccess SIEM provides security information and event management capabilities through a single integrated platform. It combines security information management, security event management, and log management functions. Some key features include intrusion detection, 24/7 monitoring, forensic analysis, vulnerability reporting, and anomalous activity alerts. CloudAccess SIEM can be deployed as software, an appliance, or a managed service. It provides real-time analysis of security alerts from network devices and applications.
Security Onion includes best-of-breed free and open tools including Suricata, Zeek, Wazuh, the Elastic Stack and many others. We created and maintain Security
the IBM Security Intelligence Platform, also known as QRadar®, integrates SIEM, log management, anomaly detection, vulnerability management, risk management and incident forensics into a unified, highly scalable, real-time solution that provides superior threat detection, greater ease of use, and low total cost of ownership compared with competitive products
The document discusses cloud computing and data security. It provides an overview of cloud computing including deployment models, service models, and sub-service models. It also discusses key aspects of cloud data security such as authentication using OTP, encryption of data using strong algorithms, and ensuring data integrity through hashing. The proposed cloud data security model uses three levels of defense - strong authentication through OTP, automatic encryption of data using a fast and strong algorithm, and fast recovery of user data.
DLP (Data Loss Protection) is NOT dead, but needs to be revisited in the context of new methodologies and threats. Here are some practical steps to improve your cybersecurity awareness and response to data loss.
This document discusses the importance of protecting sensitive data and minimizing exposure. It defines sensitive data as information that must be safeguarded from unauthorized access, such as passwords, addresses, social security numbers, and credit card information. The document outlines laws and regulations that govern sensitive data protection and explains how data is often exposed through security flaws, intrusions, phishing, or social engineering. It recommends encrypting sensitive data, restricting access to authorized individuals only, and learning from past security incidents to strengthen protections.
Web Application Firewalls (WAFs) like ModSecurity provide protection for web applications by filtering requests and blocking attacks, with ModSecurity being an open source WAF that uses rules to allow or deny content and protect against vulnerabilities. WAFs can operate in different modes like positive or negative models and be deployed in various configurations including as an appliance, cloud service, or reverse proxy. While effective, WAFs can cause false positives and reduce application performance if not configured properly.
Symantec Data Loss Prevention. Las tendencias mundiales nos muestran que el mayor porcentaje de perdida y robo de datos responde a la falta de visibilidad y el error en el manejo de los mismos. Conozca como prevenirse.
Data loss prevention ensures critical corporate information is kept safely within networks and helps administrators control data transfers. It is important for maintaining corporate image, compliance, and avoiding penalties. DLP identifies sensitive data like credit cards, social security numbers, business plans, and financial records. It monitors, detects, prevents data leakage, and notifies users of violations while protecting sensitive information. Choosing a DLP product requires considering budget, in-house vs outsourcing needs, policies, incident response, and compatibility with existing infrastructure.
The document discusses identity and access management (IAM) in the context of cloud computing. As organizations increasingly utilize cloud services, managing user identities and access across multiple cloud providers presents new challenges. Effective IAM in the cloud requires capabilities like user provisioning, de-provisioning, authentication, and managing access to data and applications across different cloud platforms. Centralized IAM is needed to maintain control and security when utilizing cloud services.
IBM Security Guardium Data Activity Monitor (Data Sheet-USEN)Peter Tutty
The IBM Security Guardium Data Activity Monitor data sheet describes a simple, robust solution for continuously monitoring access to high-value databases, data warehouses, file shares, document-sharing solutions and big data environments.
The document discusses various topics related to web security including what it is, why it is important, common types of web attacks like SQL injection, cross-site scripting, password cracking, and phishing. It also discusses methods to provide security, such as using high security passwords, digital signatures, encryption/decryption, and biometric authentication. The conclusion states that as more security methods are available for websites, the future will be safer.
Security information and event management (SIEM) technology supports threat detection, compliance and security incident management through the collection and analysis (both near real time and historical) of security events, as well as a wide variety of other event and contextual data sources.
Azure Database Services for MySQL PostgreSQL and MariaDBNicholas Vossburg
This document summarizes the Azure Database platform for relational databases. It discusses the different service tiers for databases including Basic, General Purpose, and Memory Optimized. It covers security features, high availability, scaling capabilities, backups and monitoring. Methods for migrating databases to Azure like native commands, migration wizards, and replication are also summarized. Best practices for achieving performance are outlined related to network latency, storage, and CPU.
Attack Autopsy: A Study of the Dynamic Attack ChainIBM Security
View on-demand webinar: https://securityintelligence.com/events/study-of-the-dynamic-attack-chain/
The sophistication of today’s cybersecurity threats is astounding. Attackers have an advanced toolkit and the help of their peers, and the patience of a saint but the motivations of ruthless criminal. What drives them? The thrill of the chase, for some, but mostly it’s your organization’s data. Credit card numbers, healthcare records, and more. If they can find a way in and learn their way around, they’ll take it.
View this on-demand webinar to hear Diana Kelley, security expert and IBM Executive Security Advisor, talk about details of a dynamic attack and share how the investigation unfolds. Diana will also give you an “under the hood” look at the IBM Threat Protection System and you’ll learn how to improve the security health of your organization.
This document summarizes the key findings of a survey conducted by Unisphere Research on the state of database administration. The survey found that:
1) While new technologies like Hadoop and NoSQL are gaining adoption, traditional relational database management systems (RDBMS) like Oracle and Microsoft SQL Server still form the foundation of information infrastructure for most organizations.
2) Database administrators (DBAs) are responsible for managing multiple database instances from different vendors, and the number of databases each DBA oversees is growing. DBAs are also taking on responsibility for administering new non-relational technologies like Hadoop and NoSQL.
3) Most companies use more than one database platform primarily to support different applications and user
The document discusses what a white paper is, who writes them, and what they contain. A white paper is a fact-based marketing document published by a company or institution to promote a product, service, or idea. It provides information to help potential buyers compare products or justify purchase decisions. White papers are written by companies, governments, and academic/research institutions and read by engineers, finance professionals, and those in purchasing and R&D roles. They contain facts, technical descriptions, comparisons, analyses, and recommendations.
How to write a technology white paper to increase salesAna Thompson
Tutorial on how to write a technology white paper to increase sales. Examples of how to structure, format, and write more persuasive content to win business
Amazon has used three digital engines to reshape and dominate retail:
1. Limitless inventory - Digital enables Amazon to offer an exhaustive selection across many categories without physical space constraints.
2. Boosting customer care - Digital allows Amazon to optimize the customer experience through real-time metrics, A/B testing, and unlimited inventory.
3. Enabling high margins and low prices - Digital reduces Amazon's variable costs to negligible levels, allowing it to offer low prices while focusing on long-term growth through market share.
This document discusses how data is structured and modeled in databases and data warehouses. It introduces concepts like left-to-right entity relationship diagrams and data model depth. It examines how characteristics like model depth, data volumes, and complexity affect areas like reporting structures, data warehouse design, ETL processes, data quality, and query performance. Understanding these characteristics helps reduce their negative impacts and lower project costs.
Whitepaper: Volume Testing Thick Clients and DatabasesRTTS
Even in the current age of cloud computing there are still endless benefits of developing thick client software: non-dependency on browser version, offline support, low hosting fees, and utilizing existing end user hardware, to name a few.
It's more than likely that your organization is utilizing at least a few thick client applications. Now consider this: as your user base grows, does your think client's back-end server need to grow as well? How quickly? How do you ensure that you provide the correct amount of additional capacity without overstepping and unnecessarily eating into your profits? The answer is volume testing.
Read how RTTS does this with IBM Rational Performance Tester.
This document provides tips for writing effective white papers. It recommends that white papers establish authority, build influence, and generate revenue by answering key questions for decision makers. It suggests using active voice, concrete language, and positive phrasing while avoiding jargon and clichés. White papers should be structured to define the scope, provide context, explain the approach, and recommend a solution in a concise manner. Images and charts can help explain concepts and show relationships. The goal is to make the white paper interesting, demonstrate expertise, and build credibility for the reader.
Creating effective white papers and industry reportsSonia Quinones
An easy 7-step guide to creating lead-generating white papers. This guide is designed for marketers working in small to mid-sized B2B companies or nonprofits that need to communicate complex topics to influence and inform their audiences.
The document reviews and compares past education policies in Pakistan from 1947 to 1998. It analyzes the policies across different themes, including their vision/objectives, treatment of primary/secondary education, religious education, gender issues, and financing of education. The policies evolved over time, with earlier ones focusing more on universal brotherhood and civic values, and later ones in 1979 and 1998 emphasizing Islamization of education and envisioning Pakistan as an ideological state with Islam as the sole basis of national identity.
Our latest white paper, “Blockchain Technology and the Financial Services Market,” covers themes around:
Distributed ledger and blockchain are about to cause major business transformations in the financial services industry
Three of the most promising fields of application are payment transactions, trade finance and over-the-counter markets
Technical challenges and legal frameworks are currently a major obstacle
Many market participants are exploring ways of using blockchain, including established institutions and start-ups firms
Read the entire research report for expert insights and the full Infosys Consulting point-of-view!
The Future of Embedded and IoT Security: Kaspersky Operating SystemKaspersky Lab
KasperskyOS – Secure Operating System for embedded connected systems with specific requirements for cyber security. KasperskyOS aims to protect software and data systems from the consequences of the intrusion of malicious code, viruses and hacker attacks. These can provoke harmful behavior in any part of the system, potentially resulting in loss or leakage of sensitive data, reduced performance and denial of service. In addition it reduces the risk of harm caused by program bugs, unintentional mistakes or premeditated abuse.
The document discusses the benefits of meditation for reducing stress and anxiety. Regular meditation practice can help calm the mind and body by lowering heart rate and blood pressure. Studies have shown that meditating for just 10-20 minutes per day can have significant positive impacts on both mental and physical health over time.
Intelligent ID is an Endpoint Monitoring and Protection software that helps secure organizations by monitoring endpoints for data loss, compliance issues, and inefficient resource use. It collects more data from more sources than competitors with a single lightweight agent. Intelligent ID provides a holistic view of all endpoint data sources, including behavioral analytics, to identify suspect activity. It consolidates existing tools, offers measurable ROI, and provides investigation and compliance tools to help various departments. Key features include monitoring data loss prevention, user identity and activity, infrastructure management, and applying custom rules.
Guardium Suite_seguridad de los datos...EdiverLadino
1) Today's distributed data landscape and shift to hybrid cloud has created data security challenges around visibility, control, and compliance.
2) Traditional data security approaches are still important but additional capabilities are needed to address modern complexity, including flexibility, agentless monitoring, and automated response.
3) IBM Security Guardium provides adaptive, connected, and intelligent data security that helps future-proof programs, breaks down silos, and empowers users with advanced analytics. It integrates with existing tools and delivers data security across hybrid cloud environments.
Digital Guardian offers a security platform that combines data loss prevention, endpoint detection and response, and user entity behavior analytics to provide threat aware data protection. It provides full visibility across endpoints and networks to protect data from all threat vectors with flexible controls and enforcement. There is no other solution that combines threat detection with data awareness to this degree.
Breakdown of Microsoft Purview SolutionsDrew Madelung
Drew Madelung presented on Microsoft Purview solutions at 365EduCon Seattle 2023. Purview is a set of solutions that help organizations govern and protect data across multi-cloud environments while meeting compliance requirements. It brings together solutions for understanding data, safeguarding it wherever it lives, and improving risk and compliance posture. Madelung demonstrated Purview's capabilities for classification, information protection, insider risk management, data loss prevention, records management, eDiscovery, auditing, and more. He advocated adopting Purview to comprehensively govern data using an incremental crawl-walk-run strategy.
NogaLogic is an information management and security software that classifies unstructured data based on a company's business terms to organize it into a single virtual repository. It allows users to identify, understand, manage, and protect unstructured data based on its business meaning and value. Key features include centralized management of data, policy management, storage location identification, filtering and querying, and reports on data usage.
The document discusses how Digital Guardian can help agencies meet requirements under the US Department of Homeland Security's Continuous Diagnostics and Mitigation (CDM) program. The CDM program focuses on four functional areas: hardware asset management, software asset management, configuration management, and vulnerability management. Digital Guardian provides capabilities that align with all four functional areas such as identifying unauthorized hardware and software, blocking changes to protected files, and detecting malicious processes. Digital Guardian protects data directly at the kernel level to provide complete visibility and control over data movement and use on or off a network.
GTB Technologies offers a comprehensive data protection and data loss prevention solution called GTB DLP. The solution provides visibility into critical data assets by identifying data, where it is stored, how it is transmitted, who is receiving it, and how it is used. GTB DLP focuses on protecting companies' most critical data and intellectual property assets. It provides unified policy management across network monitoring, endpoint protection, data discovery and classification, and information rights management.
Asset Guardian is a software that manages critical business information such as software, documentation, changes, faults, and designs. It provides tools to eliminate communication issues and ensure the correct versions are used. Asset Guardian tracks information throughout the entire lifecycle from initial design to long-term operations. It includes features like change logging, notifications, and secure approval processes. Asset Guardian is scalable and can meet growing business needs. It ensures compliance with standards and removes risks around incorrect software versions.
The Mentis software provides a single, integrated platform for discovering, protecting, and managing sensitive data across enterprise databases and applications. The platform includes modules for static and dynamic data masking, user access monitoring, audit workbenching, continuous monitoring, and sensitive data retirement. Additional products such as iDiscover, iMask, iScramble, iMonitor, iProtect, and iRetire provide capabilities for sensitive data discovery, masking, monitoring, and retirement to help customers comply with data privacy regulations and prevent breaches. Mentis has received recognition as a challenger in the Gartner Magic Quadrant for data masking and as a top security company.
The document discusses strategies for complying with the EU's General Data Protection Regulation (GDPR). It outlines five critical strategies: 1) Know all personal data stored, 2) Carefully manage access to personal data, 3) Encrypt as much data as possible, 4) Monitor changes affecting sensitive data and prevent critical changes, and 5) Investigate potential breaches. It also discusses how the software company Quest can help customers strengthen data protection, ensure compliance, and avoid fines through solutions that secure and manage data, modernize infrastructure, and provide insights.
Office Dashboards - analytical reporting tool enables your business to perform:License management, cost control, security and compliance monitoring, advance analytics and reporting facilities. http://bit.ly/2qG3Z7r
Compliance regulations with Data Centric Security | SecloreSeclore
Most Compliance today has a gaping hole: there is little or no auditing of data sent outside your network to third parties or accessed on mobile devices. Seclore’s data-centric governance empowers you to control, track, and audit your data usage wherever it goes, greatly improving your ability to comply with GDPR, PCI, Export Administration, and other regional data privacy legislation.
BalaBit develops Contextual Security Intelligence products that rely on real-time visibility of user behavior rather than predefined patterns to identify threats. It is best known for its open source syslog-ng log management solution with over 1 million users. BalaBit has offices globally and serves Fortune 100 customers through partners in over 40 countries to improve security through products like log management, privileged activity monitoring, and user behavior analytics.
This document provides recommendations for securing an FIU (financial intelligence unit) computing center. It discusses threats from both internal and external sources and outlines defensive measures. These include separating networks, implementing international security standards, securely transmitting intelligence reports, and establishing user management policies around identification, authentication and access controls. The document also recommends regular backups, disaster recovery planning, and applying security patches and updates.
Government Webinar: Improving Security Compliance with IT Monitoring Tools SolarWinds
SolarWinds and DH Technologies provide an overview of how IT monitoring and management tools from SolarWinds can help organizations improve security compliance. The presentation discusses SolarWinds' product portfolio and compliance features, demonstrates some of their security products, and provides additional compliance resources. It is aimed at helping customers understand how SolarWinds solutions such as Network Configuration Manager, Security Event Manager, and Patch Manager can support compliance with frameworks like NIST, FISMA, and CIS benchmarks through capabilities like configuration management, auditing, vulnerability management, and continuous monitoring.
Overall Security Process Review CISC 6621Agend.docxkarlhennesey
Overall Security Process Review
CISC 662
1
Agenda
Review of the following technologies and current products:
SIEM
CASB
EDR (Enterprise Detection and Response)
NGFW (Next Generation Firewalls)
Threat Intelligence
Summary of Term
SANS Technology Institute - Candidate for Master of Science Degree
What is a SIEM?
SIEM - Security Information Event Management
Logging and Event Aggregation
Network (router,switch,firewall,etc)
System (Server,workstation,etc)
Application (Web, DB )
Correlation Engine
2+ related events = higher alarm (1+1=3)
3
At first glance SIEM's appliances and software look like an event aggregator. While a SIEM has the advantage of aggregating logs what puts them apart from the event aggregator market are the correlation engines.
The correlation engines allow the ability to uncover threats/attacks across multiple related events which by themselves would not be a cause for alarm.
SIEM
4
What is a SIEM?
5
Security information and event management (SIEM) is the technology that can tie all your systems together and give you a comprehensive view of IT security.
IT security is typically a patchwork of technologies – firewalls, intrusion prevention, endpoint protection, threat intelligence and the like – that work together to protect an organization’s network and data from hackers and other threats. Tying all those disparate systems together is another challenge, however, and that’s where SIEM can help.
SIEM systems manage and make sense of security logs from all kinds of devices and carry out a range of functions, including spotting threats, preventing breaches before they occur, detecting breaches, and providing forensic information to determine how a security incident occurred as well as its possible impact.
Using SIEM
How do SIEM Products help the following Security concerns?
Countermeasures to detect attempts to infect internal system
Identification of infected systems trying to exfiltrate information
Mitigation of the impact of infected systems
Detection of outbound sensitive information ( DLP)
6
These questions are a core part of a companies overall security architecture. If a SIEM isn't providing answers or solutions to these questions what is it doing?
If you aren't using your SIEM to solve issues like these it may just be an expensive log aggregator/collection system sitting in your network collecting dust.
SIEM Advantages
Correlation of data from multiple systems and from different events detecting security and operational conditions
Anomaly detection by using a baseline of events over time to find deviations from expected or normal behavior
Comprehensive view into an environment based on event types, protocols, log sources, etc
APT (advanced persistent threat) protection through detection of protocol and application anomalies
Prioritization based on risk of threat to assets, staff can triage the most vulnerable targets
Alerting and monitoring on events of interest to escalate pri ...
Today’s networks are larger and more complex than ever before, and
protecting them against malicious activity is a never-ending task.
Organizations seeking to safeguard their intellectual property, protect
their customer identities and avoid business disruptions need to do more
than monitor logs and network flow data; they need to leverage advanced
tools to detect these activities in a consumable manner.
The Splunk App for Enterprise Security provides security intelligence and continuous monitoring capabilities for known and unknown threats. It includes technology add-ons, data visualizations, and reports and security metrics. It also supports incident review, classification, collaboration, and user identity correlation. The app takes advantage of Splunk Enterprise's big data, analytics, and visualization capabilities to provide monitoring, alerting and analytics needed to identify security issues.
Security 101: IBM i Security Auditing and ReportingPrecisely
IBM i journals and logs are the trusted source of audit information accepted by IBM i security and audit professionals as they contain a trail of access attempts, command line activity, changes to sensitive data, changes to system objects and more. However, IBM i log files contain massive amounts of data - and they are difficult to setup, report and alert on.
View this webcast on-demand to learn more about key topics such as:
• Key IBM i logs
• Auditing and monitoring for security incidents
• Leveraging 3rd party solutions that analyze security data
• How Syncsort can help
Similar to Whitepaper IBM Guardium Data Activity Monitor (20)
IBM® QRadar® QFlow Collector integrates with IBM QRadar SIEM and flow processors to provide Layer 7 application visibility and flow analysis to help you sense, detect and respond to activities throughout your network. This combined solution, powered by the advanced IBM Sense Analytics Engine™, gives you greater visibility into network activity to better detect threats, meet policy and regulatory compliance requirements, and minimize risks to mission-critical services, data and assets.
A brief overview of IBM Cloud security in three slides – SaaS, IaaS and PaaS, and the others providing a snapshot of IBM's current set of SaaS, IaaS and PaaS offerings.
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Overall theme is that with IBM Cloud Security Enforcer, IBM is offering the industry’s first solution to combine cloud discovery, access, and threat prevention
This presentation shows customers how IBM Security products and services help clients transform their security program, orchestrate their defenses throughout the attack lifecycle, and protect their most critical information and risks.
Conoce la nueva era de la seguridad cognitiva, entiende a qué se refiere y cómo influye en el desarrollo de las estratégias tecnoloógicas empresariales.
Queremos empoderar a los empleados y darles acceso a la información necesaria, sin embargo esto es un reto grande para las compañías en cuestión de seguridad, aprende cómo protegerte.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
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(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
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Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
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milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
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Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
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Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
1. Security Data Sheet
IBM Security Guardium
Data Activity Monitor
Continuously monitor data access and protect sensitive
data across the enterprise
Highlights
●● ● ●
Uncover risks to sensitive data through
data discovery, classification and privi-
leged access discovery to automatically
take action or report for compliance
●● ● ●
Reduce data breach risk and extend
security intelligence with in-depth data
protection
●● ● ●
Provide a streamlined and adaptable
solution for real-time monitoring access to
high-value databases, data warehouses,
files, cloud and big-data environments
●● ● ●
Minimize total cost of ownership
with robust scalability, simplification,
automation, analytics and transparency
for a range of deployments—whether
they are small, large or enterprise-wide
IBM® Security Guardium® Data Activity Monitor empowers security
teams to analyze, protect and adapt for comprehensive data protection in
heterogeneous environments, including databases, data warehouses, files,
file shares, cloud, and big-data platforms such as Hadoop and NoSQL.
The solution continuously monitors all data access operations in real
time to detect unauthorized actions, based on detailed contextual
information—the “who, what, where, when and how” of each data access.
Guardium Data Activity Monitor reacts immediately to help prevent
unauthorized or suspicious activities by privileged insiders and potential
hackers. It automates data security governance controls in heterogeneous
enterprises.
Guardium Data Activity Monitor improves security and supports compli-
ance requirements through a set of core capabilities that help reduce risk
and minimize cost of ownership. These capabilities are available in four
offering levels: Express Data Activity Monitor, Standard Data Activity
Monitor, Advanced Data Activity Monitor, and Central Management and
Aggregation Pack.
2. 2
Data SheetSecurity
Risk reduction
For any given organizational action or activity, there is the
potential risk of sensitive data exposure or loss. The probability
or threat of damage, liability or data loss caused by external or
internal vulnerability can be avoided through quick response
or preemptive action. Guardium Data Activity Monitor
reduces data breach risk by providing real-time data security
and intelligence with features such as:
●● ●
Automatic identification of risky data or configurations—
Uses data discovery, classification, entitlement reports and
audit records to identify data at risk, such as dormant sensi-
tive data or outdated entitlements and over-privileges to data.
●● ●
Real-time data activity monitoring with application
end-user translation
– Provides 100 percent visibility and granularity into all data-
base, files, file share, data warehouse, Hadoop and NoSQL
transactions across all platforms and protocols—with a
secure, tamper-proof audit trail that supports segregation
of duties.
– Monitors and enforces a wide range of policies for sensi-
tive-data access, privileged-user actions, change control,
application-user activities and security exceptions.
– Monitors all data transactions to create a continuous,
fine-grained audit trail of all data sources that identifies
the “who, what, when, where and how” of each transaction,
including execution of all SQL commands on all database
objects.
– Audits all logins/logouts, security exceptions such as
login failures and SQL errors and extrusion detection
(identifying sensitive data returned by queries).
– Creates a single, centralized audit repository for enterprise-
wide compliance reporting, performance optimization,
investigations and forensics.
●● ●
Real-time security alerts—Creates alerts in real time when
a security policy is violated—including alerts to enterprise-
wide security information and event management (SIEM)
systems. IBM Security QRadar® provides bidirectional com-
munications to Guardium, so you can take immediate action.
●● ●
Real-time data masking (via the Guardium S-GATE
agent)—Helps ensure that critical data does not fall into the
wrong hands. Guardium Data Activity Monitoring looks at
the data content leaving the data sources and obfuscates
non-authorized fields according to the requestor privileges.
●● ●
Real-time blocking (via S-GATE), including user
quarantine and firewall IDs
Guardium Data Activity Monitor provides comprehensive protection. It makes
it easy to see which databases and big-data platforms contain sensitive data,
monitor data access, and take action to help protect against internal and
external threats.
Hadoop
Protect cloud environments
Protect databases
and big data
Protect files
DOC PDF XML JS
NoSQL
Oracle
Teradata
IBM DB2
IBM Security
Guardium
3. 3
Data SheetSecurity
– Establishes preventive controls across the enterprise.
Guardium Data Activity Monitor provides automated,
real-time controls that help prevent privileged users from
performing unauthorized actions such as executing queries
on sensitive tables, changing sensitive data values, adding
or deleting critical tables (schema changes) outside the
change management process, and creating new user
accounts and modifying privileges.
– Reacts to suspicious activity by blocking activity or quaran-
tining the requestor.
– Implements firewall IDs that allow specified users to access
certain servers for a particular time period to accommodate
certain activities such as maintenance windows without
affecting database security configurations.
●● ●
Custom report builder with drill-down capabilities—
Customizes and filters security reports to display the parame-
ters that are relevant to your organization. Some common
reports include: SQL errors, failed logins, terminated users
and policy violations.
●● ●
Best-practice recommendations in predefined reports
and alerts—Provides a variety of predefined reports with
different views of entitlement data, enabling organizations
to quickly and easily identify security risks such as inappro-
priately exposed objects, users with excessive rights and
unauthorized administrative actions. Examples of the
numerous predefined reports include: system, administrator
and object privileges with SQL-level detail drill-downs by
user and all objects. Entitlement information is stored in a
forensically secure and tamper-proof repository, along with
all data source audit information. Custom reports can be
easily built by using an intuitive drag-and-drop interface.
Streamlined graphical user interface
provides centralized control
IT organizations today are under high pressure to maximize the
use of their resources and time. Low-level security operations
or manual processes are wasteful, risky and error-prone. As your
business data needs grow, the scope of the data security and
compliance projects increases. You need security solutions to
become more streamlined and adaptable as your needs change.
In the era of big data, Guardium Data Activity Monitor pro-
vides key capabilities to help organizations streamline and adapt
data protection and security management without impacting
data sources, networks, or applications, such as:
●● ●
Dynamic graphical user interface (GUI) helps build and
update data and user groups—Maximizes the protection
delivered by Guardium. With one click, groups, policies, tests
and other configurable parameters can be updated to adapt
to the constantly evolving nature of the IT environment,
database infrastructure and associated threats. Automated
group management is used in audit reports, alerts and real-
time policies to facilitate maintenance—despite constant
changes in the IT environment. Whitelists or blacklists can
be generated on any auditable item, for example, users,
IP addresses, table names and so forth. Group maintenance
can be done manually through the GUI or automated with
Lightweight Directory Access Protocol (LDAP) integration.
Groups can be populated using queries or GuardAPIs.
You can synchronize with user groups in Microsoft
Active Directory, IBM Security Directory Server, Novell,
OpenLDAP, Sun ONE, IBM z/OS® and more. Handling
policies, reporting and auditing indirectly through groups
helps to keep a consistent management process, despite the
constant change in the environment.
4. 4
Data SheetSecurity
●● ●
Centralized management automates the deployment of
Guardium—Provides centralized management through a
single web-based console. The scalable multi-tier architecture
supports large and small environments with built-in health-
check dashboards. Software updates are handled centrally and
automatically without having to involve the change manage-
ment team or resource owners.
●● ●
Database discovery, data classification and entitlement
reports—Discovers and classifies sensitive data. The discov-
ery process can be configured through the Guardium GUI
to probe specified network segments on a schedule or on
demand. Once instances of interest are identified, the content
is examined to identify and classify sensitive data. Entitlement
reports provide an automatic risk assessment on who is con-
figured to access the sensitive data.
●● ●
Powerful analytic insights—Enables organizations to cen-
trally visualize and analyze data activity from a heterogeneous
data environment using a single format. The Guardium
GUI includes leading-edge analytic tools—such as connec-
tion profiling, Quick Search real-time forensics, outlier
detection algorithms and an investigative dashboard—that
provide actionable insights on data access behavior.
●● ●
Predefined security policies—Allows you to create and
manage your own data security policies based on audit data
or leverage out-of-the-box predefined policies. The policies
can be built to detect any threat scenario against the data
utilizing the most common audit constructs such as who,
from where, when, where to, on what, what action and other
contextual information. Examples of security policies include:
– Access policies that identify anomalous behavior by contin-
uously comparing all data activity to a baseline of normal
behavior. An example of anomalous behavior would
be an SQL injection attack, which typically exhibits pat-
terns of data access that are uncharacteristic of standard
line-of-business applications.
– Exception policies that are based on definable thresholds,
such as an excessive number of failed logins or SQL errors.
– Extrusion policies that examine data leaving the data repos-
itory for specific data value patterns, such as credit card
numbers.
●● ●
Guardium GUI has customizable compliance workflows
with preset compliance accelerators for common compli-
ance requirements—Centralizes and automates oversight
processes enterprise-wide, including report generation,
distribution, electronic sign-offs and escalations. It creates
custom processes without sacrificing security. It ensures that
some team members see only data and tasks related to their
own roles and stores process results in a secure centralized
repository. It supports compliance with Sarbanes-Oxley
(SOX), Payment Card Industry (PCI), Health Insurance
Portability and Accountability Act (HIPAA) and other
regulations with predefined reports. An easy-to-use GUI
allows a wide variety of processes to be created to match the
unique needs of the tasks and individuals involved. Reports
can be exported in varying formats, including PDF, comma-
separated values (CSV), common event format (CEF), Syslog
forwarding, Security Content Automation Protocol (SCAP)
or custom schemas.
●● ●
Secure and self-sustained platform through the
Guardium GUI—Audits all operations, including adminis-
tration and configuration tasks, to maintain compliance
controls, segregation of duties, and compliance with the
latest security mandates and Federal Information Processing
Standards (FIPS) 140-2.
5. 5
Data SheetSecurity
Performance
Business moves fast and clients demand continual access to
data. As a result, IT environments with diverse databases,
transactional applications, analytics platforms, file systems and
emerging big-data applications are required to meet aggressive
service level agreements for availability, performance and
responsiveness. Compliance requirements need to be addressed
and security strategies implemented without impacting perfor-
mance. Guardium Data Activity Monitor can be implemented
with negligible performance impact—less than 1 percent over-
head in most cases—using key capabilities, such as:
●● ●
An operating system-based agent—Provides full visibility
of data traffic without affecting the performance of the data
source or application, as in the case of native audit logging.
●● ●
Filtering of database traffic—Avoids unnecessary database
audit traffic by monitoring only what is required, such as
the data traffic already going from the operating system to
the data source, and sending it out of band for analysis.
●● ●
Centralized load balancing for multi-tier architecture—
Enables Guardium agents (STAPs) to be automatically
distributed, so they can automatically find the most optimal
configuration to send their data activity traffic.
●● ●
Support for 64-bit architecture—Provides the ability to
handle and store more data traffic data with fewer resources.
Protect critical data Central manager
from a single The load balancer optimizes
console real-time monitoring
Data collection layer
Scalability
Driven by a rapidly changing business landscape that includes
mergers, outsourcing, cloud deployments, workforce adjust-
ments and accelerating business automation, data sources
continue to proliferate over geographical and organizational
boundaries. In addition, data is growing in terms of volume,
variety and velocity, and it now resides in new types of data
stores, such as Hadoop and NoSQL databases. Given current
IT resource constraints, the complexity of environments and
escalating workloads, many organizations want to increase
automation in their data security and compliance operations.
With automated load balancing, Guardium Data Activity Monitor enables
organizations to easily adapt to IT changes that affect data security.
IBM Security Guardium S-TAP probes
6. 6
Data SheetSecurity
Guardium Data Activity Monitor is equipped to seamlessly
scale from one data source to tens of thousands without
disrupting operations. Automation capabilities include:
●● ●
Guardium Grid automates adaptation to changes in the
data—Automatically balances the load and handles changes
or additions to the environment without impacting the per-
formance or availability of the data monitoring infrastructure.
Guardium Data Activity Monitor dynamically adds or drops
data sources without altering configurations. Guardium Grid
provides elasticity for supporting large deployments in fre-
quent change. Load balancing scalability and performance
features help clients reduce management costs, minimize
the need to manage detailed configuration information
(IP addresses or hostnames) as data sources are added or
removed, and simplify data capacity expansion projects.
●● ●
GuardAPI support for batch operations—Facilitates
integration of any IT process with Guardium Data Activity
Monitor. GuardAPI is a script-based command-line interface
(CLI) to Guardium, which allows any operation to be per-
formed remotely.
●● ●
Centralized aggregation—Merges and normalizes audit
reports from multiple data sources to produce enterprise-
wide reports and a forensics source.
●● ●
Centralized management—Controls operations and policy
setting from a central location, including hands-off agent
updates, policy control, Guardium environment health and
load balancing.
Integration
Most organizations have a diverse set of IT and security
solutions in place today, such as ticketing systems or SIEM
solutions. All of these solutions eventually require interaction
with data security. Most existing security solutions lack the
complete visibility into data access patterns required by regula-
tory mandates. Guardium Data Activity Monitor provides
analytics-based, in-depth insight while seamlessly integrating
into existing security solutions, such as QRadar or ArcSight.
In addition, Guardium Data Activity Monitor provides
a modular integration model with existing IT systems,
such as data management, ticketing and archiving solutions.
The goal is to streamline IT and security operations by comple-
menting and extending them with data security capabilities,
including:
●● ●
Integration with IT operations—Guardium Data
Activity Monitor includes built-in, ready-to-use support
for Oracle, IBM DB2®, Sybase, Microsoft SQL Server,
IBM Informix®, mySQL, Teradata, IBM PureSystems®,
Hadoop, IBM InfoSphere® BigInsights™, PostgreSQL,
NoSQL, MongoDB, SAP HANA and more across all major
protocols, including: HTTP, HTTPS, FTP, SAMBA and
IBM iSeries connections to CSV text file data sources.
It can also seamlessly share information with common IT
operations tools, such as ticketing systems, where Guardium
tracks ticket IDs within data access audit records.
●● ●
Integration with security systems and standards (QRadar,
HP ArcSight, Radius, LDAP)—Changes to users, groups,
roles and authentication to data sources and applications can
be updated automatically and directly from directories such
as LDAP, Radius and Active Directory. Organizations can
automatically handle any staff or user changes while keeping
the policies and reports intact, avoiding the need to con-
stantly modify them. In addition, IT staff can send alerts and
all audit information to a SIEM. QRadar users experience
bidirectional integration, allowing QRadar to issue alerts and
change policies for immediate data protection.
●● ●
Guardium Universal Feed and Enterprise Integrator—
Simplifies and automates the integration of data from
external data sources or text files into the Guardium reposi-
tory. With data housed in the repository, the full array of
Guardium policy, analysis, reporting and workflow tools
can be leveraged. It allows input data from other sources to
participate in the correlation analysis from change ticketing
systems. Organizations can import descriptive information
such as full names and phone numbers corresponding to user
names to streamline investigation of exceptions; integrate
information from identity and access management systems,
such as roles and departments, to enable fine-grained security
policies; and connect to IBM Spectrum Protect™, formerly
known as IBM Tivoli® Storage Manager, and EMC Centera
to archive audit data and oversight process results.
7. 7
Data SheetSecurity
Why Guardium?
Guardium is part of IBM Security Systems Framework and
IBM Data Security Privacy Platform. Data Security and Privacy
Platform provides end-to-end data protection capabilities to
discover and analyze, protect, integrate and manage the critical
data in your environment. Guardium provides all the building
blocks you need for data protection—from meeting compliance
requirements all the way through to broader data protection.
The portfolio is modular, so you can start anywhere and
mix and match security software building blocks with compo-
nents from other vendors or choose to deploy multiple
building blocks together for increased acceleration and value.
The security platform is an enterprise-class foundation for
information-intensive projects providing the performance,
scalability, reliability and acceleration needed to simplify
difficult challenges and deliver trusted information to your
business faster.
IBM Security Guardium is a comprehensive data security platform that
helps security teams secure and manage all types of sensitive data
consistently, whether it is in big-data platforms, databases or file systems,
across distributed and mainframe (IBM z Systems™) environments.
Why IBM?
IBM Security offers one of the most advanced and integrated
portfolios of enterprise security products and services. The
portfolio, supported by world-renowned IBM X-Force®
research and development, provides security intelligence to help
organizations holistically protect their people, infrastructures,
data and applications, offering solutions for identity and access
management, database security, application development, risk
management, endpoint management, network security and
more. These solutions enable organizations to effectively
manage risk and implement integrated security for mobile,
cloud, social media and other enterprise business architectures.
IBM operates one of the world’s broadest security research,
development and delivery organizations, monitors 15 billion
security events per day in more than 130 countries, and holds
more than 3,000 security patents.
For more information
To learn more about IBM Security Guardium Data Activity
Monitor, please contact your IBM representative or
IBM Business Partner, or visit: ibm.com/guardium
Additionally, IBM Global Financing provides numerous pay-
ment options to help you acquire the technology you need to
grow your business. We provide full lifecycle management of
IT products and services, from acquisition to disposition. For
more information, visit: ibm.com/financing
File systems
Databases and
data warehouses
Big-data
platforms
Applications
Cloud
environments
IBM
Security
Guardium
Discovery, classification,
vulnerability assessment and
entitlement reporting
Encryption, masking
and redaction
Data and file activity
monitoring
Dynamic blocking and
masking, alerts, and
quarantines
Compliance automation
and auditing
Analytics