Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

For years, phishing has worked for one simple reason: it exploits the weakest link, the user. The defensive strategy has followed the same formula: better email filtering, more user awareness, and an extra layer of authentication. It wasn't perfect, but it was a workable balance.

One particularly concerning trend in the recent evolution of phishing is the rise of QR code-based attacks. It doesn't rely on new malware or sophisticated exploits. Instead, it takes advantage of something much simpler: the trust users place in QR codes every day. Over the last few months, QR codes have become one of the most popular tactics for steering users toward malicious sites on mobile devices or in browser environments, where the visibility of many security tools is very limited.

For years, the cybersecurity industry has assumed that the primary challenge was to see more, detect better, and deploy increasingly sophisticated tools. That paradigm no longer reflects the reality of today's cybersecurity operations. Organizations have never had so much visibility into their attack surface or so many capabilities to identify threats. However, the rapid evolution of AI is increasing the speed and complexity of attacks to a point where detection alone is no longer enough.

Artificial intelligence is quickly becoming one of the most transformative technologies in cybersecurity. Unfortunately, it's not transforming the industry exclusively for defenders. Attackers are already experimenting with AI to accelerate reconnaissance, analyze software for vulnerabilities, develop fully-functional exploits, and automate nearly all parts of the attack lifecycle.

The cybersecurity conversation usually revolves around attacks. We talk about ransomware, phishing, and critical vulnerabilities—but there is a much less visible problem that is limiting many organizations' ability to respond: operational complexity. Today, a single company might rely on dozens of security tools, manage workloads spread across multiple cloud providers, handle hundreds or thousands of digital identities, and support employees connecting from absolutely anywhere.