As artificial intelligence becomes prevalent, protecting AI training data is more important. Here’s how companies can enhance security to safeguard AI data. With the rise of AI, data protection challenges are evolving in parallel with the emerging technologies to both threaten and protect an enterprise’s data assets. When training AI,

In an era characterized by relentless digital transformation and interconnectedness, cybersecurity has evolved into a complex and dynamic battleground. Businesses, governments, and individuals find themselves locked in a perpetual struggle against a relentless flood of evolving threats. From sophisticated cybercriminal syndicates to state-sponsored hackers and opportunistic threat actors, our adversaries

Strong code-signing best practices are an invaluable way to build trust in the development process and enable a more secure software supply chain. The recent news that hackers had breached remote access solution company AnyDesk shined a harsh light on the need for companies to take a long, hard look at code-signing

Modern cybersecurity has reached an exceptional level, particularly with the integration of AI technology. The complexity of cyberattacks and their methodologies has also increased significantly, even surpassing human comprehension. This poses a considerable challenge for cybersecurity professionals who struggle to keep pace with the scale and complexity of AI-generated attacks. The widespread

As cyber threats become more complex and scaled, AI’s role in bolstering defences will grow, ensuring a safer digital future for both organisations and individuals. In cybersecurity at large, the ability to keep up with the ever-changing landscape of threats has proven critical. Reactive cybersecurity strategies have become less relevant,