Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Tax season brings a predictable surge in phishing emails targeting accounting professionals. The messages look like client requests, IRS notifications, or software update alerts. They are crafted specifically for firms that handle sensitive financial data under deadline pressure, because attackers know that pressure creates mistakes.

The regulatory landscape facing financial services in 2026 is more complex, more demanding, and faster moving than at any point in the past decade. Across the UK, regulators are attempting to strike a delicate balance of stimulating economic growth while maintaining strong consumer protection and financial stability. This balancing act is unfolding against a backdrop of sluggish economic performance, geopolitical uncertainty, and political pressure for "pro-growth" regulation. The result is a regulatory environment where the pace, scope, and intensity of change is accelerating sharply.

Of all industries, it feels like it's the finance industry that's in the best position to benefit from AI integration, especially finance teams. After all, it's those teams that typically have to manually deal with data - and that's just the kind of thing that AI can help with. With that said, though AI can be beneficial for finance teams, it's far from a slam dunk. AI integration among finance teams has been slower and less extensive than it could have been, and that's in large part because employees haven't been given the AI tools that they actually want, or which make their jobs easier.

Managing personal finances has become significantly more complicated over the last decade. Most people no longer rely on a single bank account or one payment method. Daily transactions are spread across debit cards, credit cards, subscriptions, online banking platforms, digital wallets, and international payment systems. As financial activity becomes more fragmented, understanding spending habits manually becomes increasingly difficult.