Mobile app security testing tools are like a unified command center for enterprise organizations. They automate the detection of potential threats, standardize testing protocols across agencies, help prioritize risks, and enable rapid response to the most critical threats. If your organization has several mobile applications developed by multiple third-party vendors, fragmented security oversight and inconsistencies in app development must be commonly observed.

Cursor AI has quickly become the hot AI code editor, rapidly gaining popularity with developers looking to write code faster and more efficiently. But while Cursor accelerates coding, how can devs trust that Gen AI code is secure?

AI is transforming industries at an unprecedented pace. From generative AI tools revolutionizing creative work to AI assistants reshaping enterprise workflows, one thing is clear: this technology is no longer a nice-to-have; it’s a must-have. But what about DevSecOps - the teams tasked with safeguarding our modern apps and infrastructure and ensuring their reliability?

Large Language Models (LLMs) are AI systems trained on vast textual data to understand and generate human-like text. These models, such as OpenAI’s Chat GPT-4 and Anthropic Claude, leverage their wide-ranging language input to perform various tasks, making them versatile tools in the tech world. By processing extensive datasets, LLMs can predict subsequent word sequences in text, enabling them to craft coherent and contextually relevant responses.

The intersection of IoT (Internet of Things) and OT (Operational Technology) in healthcare has become a focal point in securing critical infrastructure. With the industry accounting for 9% of global GDP and integrating thousands of devices, from bedside monitors to surgical robots, the stakes couldn’t be higher. The journey from isolated systems to hyper-connected healthcare environments has unlocked unparalleled efficiency and innovation. Yet, it has also introduced unprecedented security risks.

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. Over the next several weeks their thoughts will be posted here, so please read on and stay tuned! As we approach 2025, cybersecurity landscapes are set to evolve in unprecedented ways, with artificial intelligence (AI) taking center stage for both cyber defenders and threat actors alike.

Cloud security operates on a different paradigm compared to traditional IT security. For example, it involves multiple contextual layers such as cloud services, containers and Kubernetes that require specialized insights. The challenge is even harder when the organization is affected by compliance requirements, and is compounded by the sheer volume of data that becomes a major concern for any organization. Failing to effectively manage it leads to costly inefficiencies and risks.

At Teleport we love modern infrastructure and open-source software, but don't like static credentials and passwords. This created a challenge for us when deploying Temporal, an open-source workflow automation software on EKS: Temporal always requires a password to authenticate to the backend RDS database. To solve this problem, we turned to Teleport Machine & Workload Identity.