IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
In this paper, you'll learn how organizations are adopting increasingly sophisticated analytics methods, that analytics usage trends are placing new demands on rigid data warehouses, and what's needed is hybrid data warehouse architecture that supports all deployment models.
Internally developed software applications support the most sensitive and strategically important business processes of most enterprises. Yet application security is one of the most neglected fields of cybersecurity.
Are you up-to-speed with the latest trends in mobile and Internet of Things (IoT) application security testing? Our recent Ponemon Institute study reveals key findings about organizations' ability to protect their mobile and IoT apps. Read our report to learn how well you stack up against your peers in securing your most critical mobile and IoT applications.
IBM retained its position as a "Leader" in the 2017 Gartner Magic Quadrant for Application Security Testing.
Read our complimentary version of the Gartner report to learn:
Critical trends in the Application Security Testing market.
Why IBM maintained a Leadership position in a report that spanned 18 Application Security vendors.
Detailed criteria that determine how all of the vendors are positioned in the Magic Quadrant.
Keeping sensitive data secure in the age of Cloud computing.
Learn how IBM Security Guardium helps protect your data with scalable monitoring and protection in all kinds of cloud and hybrid cloud environments.
An IBM Security webinar featuring Gartner analyst Anton Chuvakin
Gone are the days of a clearly defined network perimeter, in which you can confidently rely on static rules to detect intruders. As the cyber threat landscape has evolved, so has the vendor landscape. With all the options available, do you know which threat detection solutions to invest in – much less which ones will still exist in five years?
Listen to this IBM Security webinar featuring Gartner analyst Anton Chuvakin to learn:
Similarities and differences between SIEM and UEBA solutions
Predictions on the future of these two markets
How QRadar’s single-platform approach to SIEM and UEBA can help you not only detect more threats, but also more accurately determine if a threat is real versus benign
In our 36-criteria evaluation of security analytics (SA) providers, we identified the 11 most significant ones — BAE Systems, E8 Security, Fortinet, Hewlett Packard Enterprise (HPE), Huntsman Security, IBM, Intel Security, LogRhythm, RSA, Securonix, and Splunk — and researched, analyzed, and scored them. This report shows how each provider measures up and helps security and risk (S&R) professionals make the right choice.
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before.
These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. This e-book presents six reasons why you should consider a database change, including opinions from industry analysts and real-world customer experiences. Read on to learn more.
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements.
To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing.