With the release of iOS 18, Apple has continued to expand its integration of AI technologies, positioning the iPhone as a powerful personal assistant capable of smart recommendations, advanced text and image analysis, and even predictive suggestions. Leveraging on-device machine learning, iOS 18’s AI features tap into user data to provide a personalized experience.

It's important to be vigilant and cautious when receiving text messages from unknown or unexpected sources.

Make sure that all your Azure DevOps data is secured in any event of failure. Try GitProtect backup and Disaster Recovery software for Azure DevOps and prevent any data loss scenario. The IT industry nowadays is growing faster than ever before, and with it, there are potential threats that could negatively impact your business. Being able to recover quickly from any event of a disaster should become a key aspect of your cyber defenses.

Discover the essentials of endpoint monitoring, including how it differs from antivirus software, benefits, and insights into future trends and next-gen capabilities.

Understanding the threats we face is crucial to protecting against them. Industry research and reports are invaluable to this understanding, providing insights to inform mitigation efforts. Few cybersecurity reports are as valuable or comprehensive as the annual ENISA Threat Landscape Report (ETL).

Threat hunting is the discovery of malicious artifacts, activity or detection methods not accounted for in passive monitoring capabilities. Essentially, threat hunting is the process of identifying unknown threats that otherwise would be hiding in your network and on your endpoints, lying in wait to further expand access and/or steal sensitive data.

As the official implementation date approaches for the Digital Operational Resilience Act (DORA) – financial institutions and their information and communication technology (ICT) service providers, across the European Union are gearing up for a significant shift in their operational landscape.

As organizations race to adopt generative AI (GenAI) to drive efficiency and innovation, they face a new and urgent security challenge. While AI-driven tools and large language models (LLMs) open vast opportunities, they also introduce unique vulnerabilities that adversaries are quick to exploit. From data exposure to supply-chain risks, the potential for threats to AI systems is growing just as fast as the technology itself.

Are you caught in a Yarn versus NPM debate? It is not only because of personal choice – the selection can alter the course of your development. Yarn and NPM are the most common tools for managing virtual dependencies in the JavaScript ecosystem. However, it is important to point out that each has its own set of strengths and trade-offs.