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Elemendar News - Issue 15 October brings hot, spring sunshine to Australia and golden leaves across the Northern Hemisphere, with all of us working through this ongoing pandemic. We hope you and yours are all OK. This month's interesting article talks about the “allure of novel threats” and the risk

There've been a lot of memes about “Fatima going into cyber” here in the UK after a government advert to encourage people to seek careers in “cyber” showed a ballerina with the quote “Fatima’s next job could be in cyber”. Whilst the advert was released last year, it’s attracted a

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