Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In today’s hyper-connected world, unmanaged IoT devices represent one of the fastest-growing security threats. Research shows that over 50% of IoT devices contain critical vulnerabilities, and one-third of all data breaches now involve an IoT endpoint. Data privacy is a major concern in IoT security, as protecting sensitive information and ensuring confidentiality is essential to prevent attacks and unauthorized access.

‍Artificial intelligence (AI) has departed from the realm of science fiction and emerged as a very real, regular part of life, increasing efficiency across a number of everyday activities. Particularly in the marketplace, where process optimization directly equates to time and money, general-purpose AI (GenAI) and other AI systems have rapidly taken on a central role.

Cybersecurity has become unnecessarily complex. Modern threat actors have refined network infiltration techniques while many organizations continue operating with outdated response methodologies. Traditional security measures are proving insufficient against contemporary attack vectors, particularly advanced persistent threats that operate undetected for extended periods. Security operations centers process thousands of daily alerts, with most representing false positives.

AI is unlocking new ways to work across industries. Nearly four in five CEOs are implementing or likely to implement generative AI to speed up innovation across their companies, and workers at every level are using GenAI to improve or expand their processes. Unfortunately, they aren’t the only ones embracing the power of AI. WormGPT was one of the best-known early examples of an AI that could create convincing social engineering attacks and build malware.