Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As 2024 comes to a close, we went around the room and asked some of Trustwave’s top executives what cybersecurity issues and technology they saw playing a prominent role in 2025. Here is the latest installment.

In today’s rapidly evolving digital landscape, the ability to harness the power of AI is becoming increasingly crucial for businesses. Within Microsoft Fabric, Microsoft recently added capabilities for building AI Skills, making it easier than ever for business users to create and integrate intelligent capabilities into your workflows to answer questions over lakehouse and warehouse tables. AI Skills are basically LLM engines that simplify interactions with data.

Mock data is an essential tool in software development and testing, offering realistic and secure alternatives to sensitive production data. Beyond traditional testing, mock data is now a cornerstone for AI development, where large datasets are critical for training and validation. By mimicking the properties of real-world data while ensuring privacy and compliance, mock data enables organizations to innovate without compromising security or trust.

Healthcare data masking unlocks the incredible potential of healthcare data for analytics and AI applications. The insights from healthcare data can revolutionize the industry from improving patient care to streamlining operations. However, the use of such data is fraught with risk. In the United States, Protected Health Information (PHI) is regulated by the Health Insurance Portability and Accountability Act (HIPAA), which sets stringent requirements to safeguard patient privacy.

Data protection in healthcare ensures patient information remains secure. The rise of digital health records increases the risks of data breaches and cyber threats. Strong security measures are essential to prevent unauthorized access and misuse of sensitive information. Healthcare institutions must implement advanced security protocols to combat evolving threats and ensure patient trust.

The term LLMjacking refers to attackers using stolen cloud credentials to gain unauthorized access to cloud-based large language models (LLMs), such as OpenAI’s GPT or Anthropic Claude. This blog shows how to strengthen LLMs with Sysdig. The attack works by criminals exploiting stolen credentials or cloud misconfigurations to gain access to expensive artificial intelligence (AI) models in the cloud. Once they gain access, they can run costly AI models at the victim’s expense.