Given the ever-evolving threat landscape, organisations must adopt proactive strategies to safeguard their digital assets. The NIST Cybersecurity Framework 2.0 offers a proven roadmap to help organisations build a strong cybersecurity posture.

In an increasingly digital world, cybersecurity has become paramount for the protection of sensitive information and the smooth operation of businesses and government entities. The NIST Cybersecurity Framework (CSF), developed by the National Institute of Standards and Technology, provides a comprehensive approach to managing and reducing cybersecurity risk. Its latest version, NIST CSF 2.0, introduces enhancements to address evolving threats and technological advancements, making it an essential tool for organisations worldwide.

This blog aims to provide a clear and concise comparison between Traditional AI and Generative AI, highlighting the innovative aspects of Generative AI and its potential to revolutionise various fields.

Artificial Intelligence (AI) has revolutionized various industries, offering unprecedented capabilities in data analysis, decision-making, and automation. Traditional AI has laid the foundation for these advancements, providing tools and techniques that have become integral to modern business practices.

As generative AI continues to evolve, so too do the threats and challenges it faces. From adversarial attacks to advanced cybersecurity threats, organisations must stay vigilant and proactive in securing their AI systems.

Generative AI (GenAI) has revolutionized numerous fields, offering incredible capabilities from image generation to complex decision-making. However, as with any powerful technology, it comes with its own set of challenges and risks. Adversarial attacks on GenAI have demonstrated significant vulnerabilities across various domains. This blog explores real-world examples of these attacks and highlights the critical cybersecurity threats that organisations must address to safeguard their AI systems.

AI assistants like ChatGPT, Gemini, and Copilot are transforming workplaces.  This guide explores how to leverage them for maximum benefit and avoid costly mistakes.

The critical need for robust AI governance

AI governance is the framework of rules, processes, and guidelines that shape the development, deployment, and use of artificial intelligence systems. Its core purpose is to ensure that AI technologies operate ethically, transparently, and in alignment with societal values.

As our reliance on digital systems continues to grow, embracing advanced security measures like dynamic access will be crucial in safeguarding our information and maintaining trust in our digital interactions.

In today’s digital age, securing sensitive information and systems is more critical than ever. Traditional methods of granting access to employees, customers, and partners often rely on static rules and roles, which can leave gaps for cybercriminals to exploit. Enter “dynamic access” – a cutting-edge approach to cybersecurity that adapts in real-time to keep our digital environments secure.