Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

At WatchGuard, we’re committed to helping managed service providers (MSPs) and businesses of all sizes simplify security while scaling for growth. That’s why we’re excited to introduce our next-generation Firebox rackmount appliances, the Firebox M Series.

The software security landscape is evolving faster than ever, and AI is accelerating this change. As generative and embedded AI become core to how software is developed, tested, and deployed, security must adapt to protect an entirely new layer of risk. At Mend.io, we’ve spent the past year reimagining what Application Security Testing (AST) looks like in this new reality.

Picture your online shopping site overwhelmed with fake orders, your customer accounts being drained one after another, or your essential APIs flooded by an endless wave of automated attacks. This is the reality businesses face today—thanks to a fully automated army of cyber criminals determined to cause harm. In this digital bot invasion, businesses of all kinds are under urgent pressure to establish defenses that effectively fight this digital threat.

As we move deeper into 2025, the conversation around data protection has fundamentally shifted. What was once a straightforward discussion about backup and recovery has evolved into something far more complex: data resilience. For Managed Service Providers (MSPs) protecting dozens or even hundreds of client environments, this shift isn’t just semantic. It represents a critical evolution in how we think about safeguarding business continuity in an era of escalating cyber threats.

The global financial system is in flux. The relentless pace of innovation, fuelled by the rise of digital assets, is causing a seismic shift. As this change reshapes the landscape, the question increasingly asked by banks and other financial institutions is not if they will be affected, but how they will adapt to the powerful forces of tokenization.

Microsoft warns that a recent phishing campaign used AI technology to obfuscate its payload and evade security filters. “Appearing to be aided by a large language model (LLM), the activity obfuscated its behavior within an SVG file, leveraging business terminology and a synthetic structure to disguise its malicious intent,” the researchers write.