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Elemendar has spent the past three years developing and training an artificial intelligence to read (and write) human-created, cyber threat intelligence reports and content. We’ve done this to drastically reduce the time organisations are vulnerable and we have learned a lot on the way. I thought it might be useful

Despite the disruption and difficulties caused by the pandemic, cybersecurity seems busier than ever. In some ways (for cybersecurity companies) this is a good thing, but for others (the victims of crime) it’s certainly not. Organisations and public services are under siege from ever more sophisticated attackers and the resulting

What is the impact of dataset size on ML models? Are large models better, always? or could you have smaller, better models trained on smaller/smart datasets? Introduction In the world of ML, 2019 was the year in which NLP had its imagenet moment. This is the year where applying transfer

The Dangerous New Normal Covid19 has created a rich environment for cyber criminals to thrive due to the combination of the shift to working from home, ‘digital transformation’, the boom in e-commerce and rising geopolitical tensions. In this ‘new normal’ everyone is a target. The pandemic has helped reveal that

Our news is a little later than usual this month because I took a week or so holiday. Or a vacation as our US readers will call it. It’s weird taking a holiday at home but I completely recommend it. As we are in Britain, in summer, it was obviously cold,

This article explores how five important emerging trends involving Shadow IT, AI, cybersecurity and regulation could have serious implications for banks and financial institutions and their operational resilience during the post COVID period and expected e-commerce boom.  Understanding them is essential to appreciate the complex cybersecurity and operational resilience risks