Learn how fileless techniques work and why they present such a complex challenge.
The arms race between cybersecurity vendors and determined adversaries has never been more heated. As soon as a new security tool is released, threat actors strive to develop a way around it. One advanced threat technique that is experiencing success is the use of fileless attacks, where no executable file is written to disk.
The 2017 Verizon Data Breach Investigations Report found that 51 percent of cyberattacks are malware-free, so there’s no indication that these attacks will be subsiding anytime soon. Read this white paper to get the important information you need to successfully defend your company against stealthy fileless attacks.
Download this white paper to learn:
• The detailed anatomy of a fileless intrusion, including the initial compromise, gaining command and control, escalating privileges and establishing persistence
• How fileless attacks exploit trusted systems — the types of processe
The ability to keep pace with trends like big data, open data, sophisticated analytics, and the de-compartmentalization of data silos and processes, distinguishes leading master data management (MDM) solutions from their counterparts. IBM, one of the five vendors in this evaluation, is positioned as THE leader with the most prominent, widely implemented solution in the market.
Different types of data have different data retention requirements. In establishing information governance and database archiving policies, take a holistic approach by understanding where the data exists, classifying the data, and archiving the data. IBM InfoSphere Optim™ Archive solution can help enterprises manage and support data retention policies by archiving historical data and storing that data in its original business context, all while controlling growing data volumes and improving application performance. This approach helps support long-term data retention by archiving data in a way that allows it to be accessed independently of the original application.
There are many types of databases and data analysis tools to choose from when building your application. Should you
use a relational database? How about a key-value store? Maybe a document database? Is a graph database the right ft?
What about polyglot persistence and the need for advanced analytics?
If you feel a bit overwhelmed, don’t worry. This guide lays out the various database options and analytic solutions
available to meet your app’s unique needs.
You’ll see how data can move across databases and development languages, so you can work in your favorite
environment without the friction and productivity loss of the past.
The end-to-end information integration capabilities of IBM® InfoSphere® Information Server are designed to help organizations understand, cleanse, monitor, transform and deliver data—as well as collaborate to bridge the gap between business and IT.