Resources

Live Event
May
07
The concept of using a Zero Trust architecture in cybersecurity has been around for more than a decade, and its fundamental principle of “never trust, always verify” sounds straightforward enough. However, there’s a lot of noise around Zero Trust, often generated by vendors promising that their solution is that magic silver bullet to all of your Zero Trust problems. This can muddy the waters and...
Guide

Going Beyond the GUI

Modernization is more than simply switching from a green screen to a GUI. To have a truly modern IBM i data center, you must consider all areas of IT from your software and applications to your hardware and devices to the processes that support the whole operation. This guides helps you modernize your IBM i from the ground up.
Blog

Data Classification and Data Loss Prevention (DLP): A Comprehensive Data Protection Strategy

Data is the world’s currency and has been for some time. Protecting data should be at the top of the list for organizations of any size, and the heart of any security strategy. Think about it: the purpose of any firewall, email solution, compliance regulation, or XDR platform is to keep data safe . Why not cut to the heart of it with a dedicated Data Loss Prevention (DLP) solution? And why not...
Datasheet

How Fortra Supports the Zero Trust Journey

What Zero Trust means, tips for getting started, and how Fortra solutions support your Zero Trust security journey.
Blog

Modern Data Security for the Enterprise

In this guest blog, Christopher Wilder of Tag Cyber provides a high-level overview of how companies can layer security solutions to ensure their data is fully protected no matter where it resides, how it travels or is shared.
On-Demand Webinar

IBM i Automation Series: Job Scheduling

Watch this webinar series for your FREE opportunity to learn what every beginner should know about Robot Schedule software for IBM i (iSeries, AS/400) automation, plus tips and tricks for the veterans.
Article

The Difference Between OCR and IDP

Compare optical character recognition (OCR) and intelligent document processing (IDP) to learn when to use each to make structured and unstructured data more usable.