Recent events such as the activities of REvil and Log4j have once again underscored the necessity of Cyber Threat Intelligence, a key component of modern cyber defence. However, effectively integrating CTI can be expensive for SOCs and especially so for less well financially resourced operations that are typical of those
Elemendar's AI-based READ. technology assists cyber analysts in processing cyber threat intelligence (CTI) into machine-readable, structured, defensive code, enabling them to faster defend organisations against new and complex cyber threats. READ. now allows users to apply TLP tagging (Traffic Light Protocol) at the entity level. So what does this mean?
The last days of 2021 saw PWC publish a report on the attempted extortion of the Health Service Executive (HSE) by the ransomware group Conti. Given that the HSE is the organisation responsible for public health care provision in the Republic of Northern Island and the fact that the attack
Elemendar has developed an Artificial Intelligence capability that reads human authored cyber threat intelligence and translates it into machine-readable industry-standard structured information.
How do you make the concepts of risk and threat work together at the operational and tactical levels?
Read our latest blog to find out more 👇
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