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 financial and reputation costs are soaring. As Wired reported last month, Garmin almost certainly paid a $10M ransom to recover their systems and many other large enterprises are now being systematically targeted. https://www.wired.com/story/
There is no magic bullet, but it’s becoming essential to carefully implement more intelligent tools that work with people to either make threats more visible or to aid defence prioritisation and operation. As Art Coviello (the former chairman of RSA) said: “There are too many things happening – too much data, too many attackers, too much of an attack surface to defend – that without those automated capabilities that you get with artificial intelligence and machine learning, you don’t have a prayer of being able to defend yourself,”
So what of our news?
Throughout this summer we’ve been gaining traction in the market. I’ll mention a few examples here:
https://advstar.org/ Advstar provides external threat monitoring and threat intelligence services to government, public services and enterprise in Hong Kong, Singapore, Japan, Thailand, Saudi Arabia and more and are now expanding their business into the UK.
Joe Chan, CEO of Advstar, said: “My team is already using Elemendar to research and categorize threat intelligence from unstructured sources. We are also looking for ways to further develop a more comprehensive solution that helps with the new challenges of threat identification.”
Additionally, we are excited to be working with BlockAPT to provide customers with more advanced cyber threat intelligence to safeguard their security ecosystems.
Elemendar’s NLP capabilities are improving all the time and we are breaking new ground in the development and use of Machine Learning (ML) Models.
Our NLP Engineer Rita Anjana has written about improving ML data models here:
We are also excited that our CEO & Co-founder Giorgos Georgopoulos has published a whitepaper with Defence iQ & Tate Nurkin on ‘The current state of AI in Defence and Security’. Whether your interests are in the Defence Industry or more general, this is a fascinating read on AI and how it can be effectively introduced into existing industries. Read it here:
Elemendar uses artificial intelligence to read cyber threat intel in minutes, not weeks, drastically reducing the window of vulnerability and protecting from new threats in near real-time.
Until then, stay frosty.