The digital landscape across Asia/Pacific (excluding Japan) (APEJ) is characterized by rapid growth in the acceptance of Managed Detection and Response (MDR), and driven by a corresponding surge in cyber threats, according to IDC’s just released report IDC MarketScape: Asia/Pacific (Excluding Japan) Managed Detection and Response Services 2025 Vendor Assessment. IDC recognized Trustwave, A LevelBlue Company, as a Leader in the report.

When living in a world powered by data, there’s a hard truth many organizations still overlook: the moment you shrug off a regulatory checkbox, you don’t just risk a fine, you invite a full-scale crisis of data breaches. Picture this: you wake up to a news headline proclaiming that your company’s customer records are now public. Your CEO is answering media questions. Investors are rethinking their bets. And your best customers? They’re quietly looking elsewhere.

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.

The identity attack surface is expanding faster than ever. Every new cloud application, remote login, and digital touchpoint creates another entryway threat actors can exploit, targeting the very credentials that give employees, customers, and partners access to critical systems. One of the top, tried-and-true identity attack techniques threat actors have utilized with great success is called an account takeover.