Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Generative AI is rapidly transforming the way we work. The large language models (LLMs) that power tools like ChatGPT and Claude are immensely powerful, capable of providing us with research data, detailed insights, and even deep analysis of documents and data sets, all performed through simple, text-based prompts. However, these prompts have unfortunate side effects for the IT professionals assigned to protect sensitive and proprietary data from cyber attacks.

The history of computing is marked by sea change moments; those times when the world seems to shift into a new possibility space almost overnight. ENIAC. The personal computer. The World Wide Web. The smartphone. And now, AI. While the term “AI” has been applied to many new (or re-branded) services and products, the underlying technology that makes most of them feel like magic is the large language model (LLM).

It’s easy to think about securing an organization’s data like building a bank vault. You focus on defenses that are impermeable to unauthorized parties: doors hardened against drills, walls resistant to impacts, and countermeasures for any number of other illicit access methods. Ultimately, you feel confident that only people with the right clearance will get in.

Modern businesses are more reliant on mobile devices than ever before. Employees need smartphones and tablets for communication, productivity, and even security authentication. As remote and hybrid work setups become more common, mobile technology is necessary for keeping workers connected to their organizations. At the same time, these devices expose a weak link in the cybersecurity chain: the human layer.

The battle against cyber threats is never-ending — and mobile is the new battleground. Modern workers now rely on mobile devices to access sensitive information, often using a single device for personal and professional purposes. As a result, malicious actors have sensed a blind spot and are using these devices as the first line of attack to gain a foothold into secure systems. 1.2 million enterprise employees were exposed to mobile phishing attacks in Q2 2025.