Phishing attacks are a huge threat. They prey on human trust and manage to trick even the most tech-savvy users. A successful attack on a company’s customers can weaken it financially, create compliance issues, and cause long-lasting reputational damage. Scammers have stolen over $1 trillion globally in just the past year – a staggering figure that rivals the GDP of some nations.

As scam-prone enterprises know, innovations in digital technologies raise the specter of phishing-related brand impersonation scams as much as they help mitigate it. Take rogue Generative AI tools like Fraud GPT and ‘Phishing-as-a-Service’ as just two examples of how fraudsters are co-opting new technologies as part of customer account takeover (ATO) schemes.

In industries like banking, e-commerce, and logistics, where millions of transactions occur daily, fraud often begins with a single malicious device. Attackers use proxies and VPNs to mimic legitimate users, but subtle clues — browser settings, session habits, or time zone mismatches – can expose their schemes. Device fingerprinting solutions have become essential for businesses aiming to enhance fraud prevention and improve user experience.

Advanced security technologies make it possible to detect, analyze, and respond to incidents with impressive precision. Yet even the best tools can’t bridge the gaps created by disjointed responsibilities, siloed workflows, and competing priorities. This lack of cohesion weakens your security posture and increases exposure to sophisticated attacks that thrive on disorganization. 41% of organizations struggle to manage cybersecurity collaboratively.