Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Beyond LLMs: The Strategic Need for MCP Security

Large language models (LLMs) are transforming enterprise operations, but their growing use introduces a critical security challenge: securing how they access sensitive data and integrate with existing tools. This is where Model Context Protocol (MCP) servers become a vital, yet often overlooked, part of AI security. These servers act as the crucial link, enabling LLMs to securely connect with diverse data sources and tools, significantly expanding attack surfaces that demand our immediate attention.

DORA Penetration Testing: What CTOs and CISOs Need to Know

The Digital Operational Resilience Act (DORA) is the EU’s response to the increasing operational risks posed by an interconnected financial system. It’s about more than cybersecurity; it’s about proving that financial institutions can keep critical services running through disruption. That’s where DORA penetration testing fits in. It shifts testing from a technical task to a strategic control, one that connects technology, risk, and business continuity.

Content Marketing Is the Key to Sustainable Business Growth

Content marketing is no longer just a buzzword; it has become a core business strategy. As consumer behavior shifts and digital platforms continue to evolve, brands must find authentic ways to connect with their audiences. Instead of relying solely on hard-sell tactics, content marketing offers valuable information that meets the needs of potential customers. This approach helps build trust, strengthen brand authority, and promote long-term engagement. For companies focused on scaling, content becomes more than just a tactic; it serves as the engine behind sustainable growth.

Using ITDR to Protect Non-Human Identities

Non-human identities. It seems like every technology conference that I’ve attended over the past year or so has had NHIs as a primary topic. And it’s no wonder. What have become powerful tools in the new world of hyper-automation, dynamic IT infrastructures, and complex security processes, have also led to new vulnerabilities within many IT environments. For just a moment, let’s look at why NHIs are important to focus on from a security perspective. I have 3 primary vulnerabilities.

Automating security questionnaires with open APIs: Trends in 2025

In this article Chief information security officers (CISOs) are continually tasked with understanding and deploying innovative solutions that reduce risk while increasing operational efficiency. As organizations expand their reliance on digital data and cloud-based infrastructures, the volume and complexity of security questionnaires have grown exponentially. In this environment, modernizing and streamlining these questionnaires is not simply about efficiency; it is a strategic imperative.

The Link Between Asset Classification and Threat Response Accuracy

The cybersecurity landscape continues to evolve at an unprecedented pace, with organizations facing increasingly sophisticated threats targeting their most valuable resources. In this environment, the accuracy and speed of threat response can determine the difference between a minor security incident and a catastrophic data breach. The fundamental truth: organizations cannot adequately protect what they cannot properly identify and classify.

Understanding Trustwave's Australia IRAP Assessment Services: A Comprehensive Guide

It's not news that keeping an organization's information and communication technology (ICT) systems safe and sound is absolutely critical. That's where the Information Security Registered Assessors Programme (IRAP), run by the Australian Signals Directorate (ASD), comes in. It’s an excellent programme and one that Trustwave highly recommends. To help organizations align with this process, Trustwave now has an IRAP Assessment Service available.

Preventing Data Poisoning in Training Pipelines Without Killing Innovation

Data poisoning occurs when cyber criminals intentionally compromise the integrity of a data set used for training machine learning models. They corrupt the information to manipulate the model’s outcome in the form of incorrect predictions by introducing vulnerabilities that reduce the effectiveness, add security risks, and fundamentally shape its decision making capabilities.