Andrea Danti - Fotolia
A machine learning technology developer has won the UK national competition to find the most innovative cyber security company for 2017.
CheckRecipient was announced as the winner after the final round of the competition was held at Infosecurity Europe 2017 in London.
Four finalists showcased their products in front of an expert judging panel and Infosecurity Europe attendees in a bid to win the award, sponsored by the Department for Culture, Media and Sport.
CheckRecipient, a venture capital-backed, London-based, cyber security startup founded by a team of Imperial College-trained engineers, mathematicians and ex-investment bankers, has developed a product that uses machine learning technology to automatically prevent highly sensitive information being sent to the wrong people by email.
The CheckRecipient platform analyses historical email data to identify conventional sending patterns and behaviours to detect when emails are accidentally being sent to the wrong people or intentionally being sent to unauthorised accounts.
Tim Sadler, co-founder and CEO at CheckRecipient, demonstrated the product in the final and said he was delighted to win this year’s award.
“It is great that we have the exposure provided by this award so that others can find out about what we’re doing and the problem that we’re solving for enterprises around the globe,” he said.
Sadler said awards are important because they show credibility in what startups are doing and interest from the wider community.
“They also help us win new customers and meet new people, something which is very important to our business,” he said.
The other finalists were Dynarisk, Immersive Labs and iProove, which went head to head in a live pitch at Infosecurity Europe.
DynaRisk gives individuals a cyber risk score derived from personal risk factors, external data sources, vulnerability scanning and more. It helps companies protect their individual or SME clients, staff or supply chain from cyber threats by enabling people to take action to protect themselves.
Read more about artificial intelligence
- SAP pushes deeper into machine learning.
- Irish managed security services provider Smarttech has increased its speed and capacity to analyse cyber attacks using IBM’s fledgling cognitive computing technology.
- Three examples of machine learning methods and related algorithms.
- Smart systems like IBM’s Watson, autonomous vehicles and a growing army of robots are quietly making more and more decisions every day.
Immersive Labs combines social, gamification and lab streaming to identify, measure and develop practical cyber skills.
iProove delivers secure online authentication using neural network-based face matching. Patented One Time Biometric Flashmark technology protects users from spoof and replay attacks and compromised devices.
The competition, launched at Infosecurity Europe in 2015, this year saw 20 small cyber security firms battle it out for a place in the final in the first round in April.
Past winners of the award were Device Authority (2016) and GeoLang (2015).
This year’s judging panel comprised Martin Chalmers, managing director, aerospace defence, security and technology, Atkins; Eileen Burbidge, partner at Passion Capital; David Cass, vice-president and CISO, cloud and SaaS operational services at IBM; and Paul Crichard, CTO and head of technical strategy at BT Security.