Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

AI adoption is accelerating at an unprecedented rate. A recent McKinsey survey found nearly 80% of enterprises now regularly use generative AI, outpacing the early adoption of both the personal computer and the public internet. Agentic AI—autonomous agents capable of planning, reasoning, and acting on a user’s behalf—has likewise moved from pilots to production, with 79% of senior executives reporting adoption.

Misconfigurations in storage and encryption settings can put your mobile apps at risk, but so can social engineering attacks. Mobile devices are powerful productivity tools, enabling your staff to work from almost anywhere. They can also be security risks, sharing sensitive data outside of a tightly controlled office environment. If smartphones and tablets are integral to your organization’s day-to-day workflows, a mobile application security assessment should be part of your cybersecurity strategy.

Penetration testing is one of the most effective ways to gauge your organization’s cybersecurity readiness. While traditional security tools can block everyday threats, a penetration test (or pen test) demonstrates what might happen if a particularly clever or dedicated threat actor decided to attack your network. A well-executed pen test can reveal unexpected cybersecurity holes in both the technological and human layers at your organization.

Generative artificial intelligence (GenAI) went mainstream in 2022 with the launch of ChatGPT. Now, tech companies are turning their attention toward the next big advancement: agentic AI. Within the next few years, generative AI and agentic AI may coexist in the professional world, synthesizing information and streamlining operations more efficiently than humans can.

Every year, mobile devices become more powerful, more innovative, and more complex. That’s good news for diligent workers who want to stay connected and productive. Unfortunately, it’s also good news for threat actors who want to steal sensitive data. Zero-day vulnerabilities in mobile applications and operating systems (OSs) are becoming more common over time.

Generative artificial intelligence (GenAI) has firmly embedded itself in the workplace. As of 2024, more than two-thirds of organizations in every global region have adopted GenAI. And, as always, cyber criminals are eager to capitalize on a new and potentially powerful piece of technology. Over the past few years, a GenAI tool called FraudGPT has made phishing, hacking, and identity theft as simple as entering an AI prompt. FraudGPT and similar tools are essentially democratizing cyber crime.

Artificial intelligence (AI) has come a long way over the past six decades. From simple chatbots in the 1960s to today’s sophisticated large language models (LLMs), mimicking human behavior has always been one of AI’s most intriguing applications. At present, though, AI cannot plan or make decisions as humans do. If it could, the ethical implications of AI would suddenly become much more complex. That’s where agentic AI comes in.