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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

If you are a cyber analyst or a CISO in a sophisticated cybersecurity operation it's you we have developed our AI Analyst for. Our technology reads your incoming cyber threat intelligence (CTI) and translates it into machine-readable and actionable code in almost real-time. We know that analysts spend hours manually

When I sat down to write our first monthly news mail a year ago I was looking forward to my first year of growing the business. That at least has been going well. But here we are today, in the midst of a deadly, global pandemic which disproportionately kills our

In April Defence IQ Interviewed our Co Founder and CEO Giorgos Georgopoulos about our journey of innovation from start up to where we are now and what the Defence industry can learn from this. The full interview is below or you can visit Defence IQ and read it here. As

Women, Diversity and Human Rights in Cyber Exclusive Interview with U.S National Security Expert Ms Algene Sajery Editor's Note: This interview was carried out on May 6, 2020, before the appalling killing of George Floyd and the disturbing violence we are now witnessing against peaceful protesters and innocent bystanders across

Elemendar is Three!  It feels a little odd celebrating during this very challenging time, but we also have to accept that life continues and that change is the only constant. We realised a week ago that we are three years old and it's a good time to reflect on how

When we design many ML applications, particularly classification systems, we come across a common problem wherein the dataset will be skewed in nature, i.e. we have some classes of data that may be seen more than other types. Take the example of the number of indicators of compromise (IoC) compared

…Elemendar’s third birthday, of course! (I’m no Star Wars fan, that’s strictly Syra’s department) Bad puns aside, Elemendar incorporated exactly 158 weeks ago yesterday. An arbitrary marker of time passing is bound to bring its fair share of reflection to any startup CEO with ruminative tendencies and I’m no exception.