Explore how cybercriminals exploit generative AI and how security teams can stay ahead of them. It’s been a year since large language models (LLMs) dramatically improved. Threat actors quickly exploited generative AI for malicious purposes, while security teams began using AI to enhance their defenses, says Nick Ascoli, senior product

Cybersecurity has been spoken about extensively, and over the past decade, organisations have prioritised their efforts and resources to address the challenges posed by an ever-evolving and connected digital landscape. The race for digital transformation for organisations has expanded their digital frontier, covering personal devices, legacy systems integration or replacement,

Traditional document management systems are plagued by inherent limitations. Navigating their compliance challenges and security vulnerabilities increasingly resembles a labyrinthine puzzle. Such systems are also often fragmented and lack control, which leads to disorganization and data loss. But what exactly are the pitfalls of traditional document management approaches? Firstly, these

information security has become more crucial than ever. As artificial intelligence (AI) continues to advance, its impact on information security analysts is profound. This article explores the future of information security analysts in the age of AI, examining the opportunities, challenges, and essential skills required to thrive in this dynamic

Integrations are key to exchanging data between systems. If an integration is vulnerable, it creates an entry point for hackers. One small compromise in an integration can lead to a data breach of your customer data and intellectual property. Its consequences could be devastating, leading to large regulatory fines and