TECHNOLOGY
East Midlands Regional Cyber Resilience Centre launches
A new regional centre aimed at helping the East Midlands to improve its cyber resilience has been launched. The East Midlands Cyber
Resilience Centre (EMCRC) is the third of ten planned in the UK to follow Business Resilience International Management’s (BRIM) Resilience Centre Model. BRIM was appointed following
an extensive EU tender procurement process to establish ten Cyber Resilience Centres (CRCs) in partnership with Police UK within 15 months to help businesses prevent cyber attacks as well as support those organisations that are affected by data breaches. For businesses, the EMCRC
provides a dedicated point of contact on cyber-crime and access to services that can support them in becoming cyber- resilient. It translates intelligence gathered from Government specialist teams into user friendly, accessible business support and services. It becomes a resource hub that
further increases business confidence in the ability of the police to deal with cyber crime, thus encouraging increased reporting and collaboration. For police, having EMCRC
provides a central point to focus the tools, information, and expertise to help prevent cyber crime and deal with cyber criminals. In an increasingly sophisticated digital environment,
‘There has been a significant increase in cyber scams and online frauds since the lockdown period began’
the CRC model also facilitates police access to high-level, cutting-edge cyber-skills in an affordable way, through the association with Ethical Hacking students at leading universities. Currently the main customer is
Derbyshire Constabulary, where Chief Constable Peter Goodman is responsible for the NPCC Cyber portfolio for the UK.
The model will deliver three different elements which include: 1 The set up and governance of a board as an independent organisation combining police, academia and business
2 Provisioning of commercial services through working directly with regional universities and students
3 Working directly with the policing cyber model to support business to be a part of these models
BRIM Chief Executive Mandy Haeburn-Little said: "There has been a significant increase in cyber scams and online frauds since the lockdown period began under Covid-19. "The more that we can all do together to prevent such scams,
Mandy Haeburn-Little
to deter unscrupulous and malicious actors, while also acting in the best interests of policing, academia and the business community, the better. "We are seeing the pace of
requests for the centres increase and we know already from previous experience that they have a very important part to play within the community."
To find out more, visit
www.emcrc.co.uk
AI diagnostic predicts Covid-19 likelihood
Researchers have developed an artificial intelligence diagnostic that can predict whether someone is likely to have Covid-19 based on their symptoms. The initial phase of the research was a collaboration
between health science company ZOE, Massachusetts General Hospital, King’s College London, and the University of Nottingham.
‘Two clinical trials are due to start shortly in both the US and the UK’
The AI model uses data from the COVID Symptom
Study app, which in just six weeks has grown to over three million people reporting their health to help fight the epidemic. The model can predict Covid-19 infection without patients having to be tested, by comparing them with people who have used the app to share their symptoms and the results of traditional tests. Two clinical
64 business network June/July 2020
trials are due to start shortly in both the US and the UK. Dr Ana Valdes, from the School of Medicine at the University of Nottingham, is one of the collaborators on the study. She said: “We put together a mathematical model to
predict likelihood of Covid-19 given the full set of symptoms presented, which concluded that 17% of those who reported some symptoms, such as fever or cough between March and April, were likely to actually have had Covid-19.” The diagnostic is a not for profit initiative which
cannot completely replace clinical tests but may have great promise for populations where access to testing is limited. Combining the AI prediction with widespread adoption of the COVID Symptom Study app could help to identify those who are likely to be infectious as soon as the earliest symptoms start to appear, and focus tracking and testing efforts where they are most needed so the economy can be reopened without triggering a resurgence of the virus.
Dr Ana Valdes
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