Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Ransomware Readiness: 10 Steps Every Organization Must Take

At the end of every year, the Trustwave content team asks its in-house experts what cybersecurity topics they predict will be top of mind in the coming 12 months, and inevitably the top answer is more ransomware. Instead of waiting an extra couple of months, we thought why not get ahead of the curve, pretend that ransomware will again be an issue, because it will, and proceed to the part of the story where we go through the problem and mitigation methods.

Emerging AI Use Cases in Healthcare: A Comprehensive Overview

The integration of AI, especially Gen AI, into healthcare has been transforming the industry, enabling providers to enhance patient care, streamline operations, and reduce costs. Below is an overview of the most promising AI use cases in healthcare that are reshaping the industry.

Streamlining Security Documentation for London SMEs

Security documentation is a huge concern for small and medium businesses in London due to the rapidly changing business environment. As these companies start doing more things online, security documentation is not an option but a dire need. With good security documentation, you will be able to protect all the vital information and compliance requirements. How can your business be managed effectively? Let's have a look at the essentials.

The states of data, Part 4: Securing data in motion through treacherous transits

In our previous blog, Data in use and why you need to keep an eye on file activities, we discussed why you should monitor how your data is being used, threats to data in use, and how you can protect it. But, when your data is on the move, you need other security capabilities to secure it. In this blog, we’ll explore data in motion. Gone are the days when you’d simply store your data in your local database and share it with peers when required.

How to Detect Threats to AI Systems with MITRE ATLAS Framework

Cyber threats against AI systems are on the rise, and today’s AI developers need a robust approach to securing AI applications that address the unique vulnerabilities and attack patterns associated with AI systems and ML models deployed in production environments. In this blog, we’re taking a closer look at two specific tools that AI developers can use to help detect cyber threats against AI systems.