The fraud is no longer a matter of “if” but “how soon!” Attackers are getting smarter, leveraging AI, deepfakes, synthetic identities, and cross-platform tactics that outpace legacy defenses. According to industry forecasts, fraud prevention tools and analytics will explode in demand as businesses scramble to stay ahead.

During routine threat hunting, we, the ManageEngine Malware Analysis Team, came across a cluster of Google Colab notebooks appearing in search results for popular software downloads. On the surface, they looked legitimate, with well written installation guides and download links.

OpenAI, the people behind ChatGPT, have launched an updated AI video- and audio-generation system with fascinating, and terrifying, implications for the spread of deepfakes.

The conversation about AI in cybersecurity is missing the point. While the industry has been focused on the emergence of AI-generated phishing emails, perhaps a far more profound shift has been somewhat ignored. Your workforce is no longer just human. It's a hybrid team of people, AI agents, copilots, assistants and digital partners. This creates a new and complex attack surface. The next great security challenge isn't just protecting a human from a machine.

AI is no longer a side project. It now powers support desks, analytics, knowledge search, decision support, and developer tooling. That reach makes data privacy a daily engineering task, not an annual policy exercise. Teams that succeed treat privacy like performance or reliability: they design for it, measure it, and improve it with each release. This guide captures Best Practices for Protecting Data Privacy in AI Deployment that work across industries.

With a background in philosophy, my transition into the world of cybersecurity as a penetration tester sparked a deep curiosity about the inner workings of the prolific cybercrime groups I saw in the news. To better defend against these groups, I needed to understand more about how they worked, specifically how they recruited people, vetted them, and turned their skills into a profitable business model.