TRENDING TAGS

Cybersecurity and application security is a trend-driven field. While attackers continue to improve their attack techniques, defenders need to pay attention to these new trends. Follow our trending tags for information on specific topics.

Demystify ransomware in the context of SAP

To demystify ransomware in the context of SAP we need to look at the attack scenario. While traditional ransomware hits the victim on the operating system level, the SAP technology stack is only impacted if the server platform was successfully attacked.

Efficient Patch Management for SAP

Applying security updates is a very effective protection against successful cyberattacks. Unfortunately, SAP patching is essential but time-consuming, and keeping a system unpatched is like sending an open invitation to threat actors.

Cross-layered detection and response (XDR) for SAP

In this article, we want to share our thoughts on the meaning of cross-layered detection and response and elaborate on why we think it’s an important step to maturity for IT-Security.

Latest Resources

Your Road to SAP Security

Download the White Paper "YOUR ROAD TO SAP SECURITY" to learn about the major milestones towards increasing the cybersecurity posture of your SAP systems.

Top mistakes to avoid in SAP security

Within this whitepaper you will learn about the key mistakes that can be avoided when it comes to SAP Security. History has shown that many companies have suffered from cyber incidents, moreover, not all incidents are reported or have been made available to the public.

SAP Security Product Comparison Report

Download the SAP Security Product Comparison Report and understand that holistic security for SAP can be delivered by a single solution.

How remote working affects your SAP security posture

In our webinar on May 7th, we showcased a potential attack on an SAP system, using techniques which are common tools among hackers. Using a password spray attack, we first tried to gain access to the system and subsequently extracted the password hashes of all users.