Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Financial services firms operate in a high-risk environment where personal and financial data converge — and errors are expensive. Despite robust back-end controls, many still: GDPR’s complexity — 99 articles and multiple regional interpretations — creates audit friction even for mature teams.

I recently had several conversations about repeat clickers. First with a Forrester analyst and then, shortly after, at KB4-CON Orlando following a presentation on the subject by Matthew Canham, Executive Director of the Cognitive Security Institute. After that, my approach was a little less organic: intrigued by the topic, I spoke with several KnowBe4 customers to find out how they manage repeat clickers.

I am used to repeating some pretty big numbers when talking about the financial impact of cybercrimes. When you look into the data, it is pretty easy to start talking about tens of billions of dollars. I occasionally come across figures that are in the hundreds of billions of dollars in damage across multiple years globally. So, imagine my surprise when I learned the U.S. Federal Trade Commission (FTC) said Americans lost $158.3B in 2023, one year, to scammers, and that annual figure is getting worse.

Multi-cloud environments have become the backbone of modern enterprise IT, offering unparalleled flexibility, scalability, and access to a diverse array of innovative services. This distributed architecture empowers organizations to avoid vendor lock-in, optimize costs, and leverage specialized functionalities from different providers. However, this very strength introduces a significant challenge: increased complexity in security management.

AI Agents have become one of the most discussed emerging technologies in enterprise environments, and now, they’ve captured the attention of policymakers in Washington, DC. Over the past several weeks, a series of developments have brought AI Agents into the national spotlight, particularly through the lens of cybersecurity and regulatory preparedness.

Is your security team stopping threats before they enter, or just reacting after damage happens? Because in the current era of advanced cyber threats, a reactive approach isn’t enough. There must be a proactive defense strategy, fueled by threat intelligence! Extended Detection and Response (XDR) solutions help organizations stop attackers, spot weaknesses, and stay protected with cyber threat intelligence data.

Organizations often lack a complete, up-to-date inventory of their IT assets – servers, endpoints, cloud instances, IoT devices, and more – creating security blind spots. Attackers exploit these unknown devices and outdated systems. Without knowing “what you have, you can’t protect it.” Poor asset visibility dramatically increases risk: you’re slower to spot breaches, can’t prioritize defenses, and may fail compliance checks.

As organizations race to adopt artificial intelligence, many overlook a key success factor: Organizational Change Management (OCM). While AI governance and compliance frameworks provide the structure—policies, controls, and oversight, OCM addresses the human factors that brings these frameworks to life. AI governance requires more than technical controls; it demands cultural alignment, ethical awareness, and behavioral change across the enterprise. That’s where OCM becomes critical.