Product News and Updates

We are excited to introduce Custom Rules within READ., a feature which allows users to finetune READ. extractions. For instance, a user may introduce a new rule of annotating the word “Telegram” as “Malware” instead of a “Tool” should they feel that’s more appropriate for their requirements. Then READ. will adapt its annotations to follow the implemented custom rule.

WIN – Elemendar x Google for Startups Europe!

We have been selected alongside 14 other amazing startups for Google For Startups Growth Academy: Cybersecurity Cohort. This opportunity allows us to work alongside and learn from experts at Google, including Google’s Safety Engineering Center (GSEC). Be sure to follow us on our social media platforms to be the first in on our GFS project successes!

WIN – Innovate UK Award!

Elemendar has won a funding award from Innovate UK as part of their Combined Investor Partnerships programme. This funding will allow us to build upon our READ. capability and produce targeted, AI-powered knowledge graphs. This will also include analytical support over the next year. We look forward to sharing this project’s advancements with you in the coming weeks.

Innovate UK are part of the UK’s Research and Innovation sphere. Their aim is to create a better future by inspiring, involving and investing in businesses with life-changing innovations. Innovate UK provides targeted sectors with expertise, facilities and funding to test, demonstrate and evolve their ideas, driving UK productivity and economic growth.

Analysing Disinformation: What Can Be Applied From CTI?

As the sources and platforms of information proliferate and diversify, it becomes more important than ever to have rigorous and reliable methods to assess the veracity and quality of the information we consume. In our latest blog on Analysing Disinformation: What Can Be Applied From CTI? our head of CTI explores some of the models and frameworks that can be adapted from the field of Cyber Threat Intelligence (CTI) to help us identify and counter false or misleading information.

Editors’ Picks…

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