Interested in the future of CyberSecurity? Preview the new at the CyberASAP Demo Day - Thursday 18th February.
Cyber Security presents a constant threat to businesses, governments and individuals. To tackle it, we need a continuous pipeline of innovative solutions, many of which are born in academic labs throughout the UK.
To help those ideas emerge into the commercial world, the Cyber Academic Startup Accelerator Programme (CyberASAP) provides a unique package of support, expertise and mentoring to academic teams. The culmination of the programme is the Demo Day where the final teams pitch and demonstrate their Proofs of Concept products/services to investors and industry.
The Demo Day for the 2020/21 cohort is on Thursday 18 February (2pm-5pm) and you can register to attend here to preview Proofs of Concept developed by final 14 teams in CyberASAP.
The Demo Day is your chance to assess a diverse range of highly promising cyber security ideas, ready to be taken to the next stage on their commercialisation journey.
During the afternoon, each of the final 14 teams will give a three minute pitch of their idea; you will then have an opportunity to meet the teams informally as they demonstrate their products/services in their own digital showrooms within the Demo Day virtual venue.
The final 14 teams in this year’s CyberASAP programme, selected from 28 who started the programme in April 2020, are as follows. More information about these projects is available here.
Authentibility Pass | Bournemouth University
Application for people with disabilities to communicate authentication/accessibility requirements to organisations.
Surface RF | University of Bristol
A Tamper Guard and Intrusion Monitor using Zenneck Electromagnetic Surface- waves. Making surfaces that identify, verify and protect themselves.
Memcrypt | Edinburgh Napier University
Memcrypt protects and recovers confidential data from ransomware attacks.
SenseiChain | University of Essex
Redefining the future of Blockchains through secure real-time data analytics.
Shoji: Privacy-preserving Machine Learning as a Service | Imperial College London
Unrivalled value from sensitive data silos with mathematically guaranteed privacy.
WhatML: Watermarking Machine Learning Models | Imperial College London
WhatML protects the value and the intellectual property of machine learning models.
#ID Security for IoT | University of Kent
Secure Device Identity to power the future of the Internet of Things.
Developer Security Essentials | Lancaster University
A non-profit helping consultants make the 400,000 UK developers better at security.
Artificial Behaviour-Based Authentication for IoT (ABBA- IoT) | University of Leeds
Data tampering detection system for automotive sensors.
Linux | Middlesex University
A Security assessment tool for Linux systems based on the MITRE Framework.
MaCRA (Software Tooling for Maritime Cyber Risk Assessment) | University of Plymouth
Dynamic, Multi-Dimensional Risk Assessment for Holistic Appraisal of Maritime Specific Operations.
CyberHelper | University of Southampton
CyberHelper is an innovative tool that efficiently runs your cyberattacks’ investigations.
Lupovis: A Wolf in Sheep’s Clothing | University of Strathclyde Lupovis provides AI-driven deception solutions to detect threats and automate incident response.
CyberMIND | University of Wolverhampton
An AI-based platform helping Cybersecurity professionals to detect, predict, and manage stress.
Year 5 Funding Competition
Funding for CyberASAP 2021/22, starting in April 2021, is anticipated and we expect to be able to announce competition details shortly. If you would like to apply to participate, or be involved in any way, please register your interest here. We will make sure you’re the first to hear when the competition opens (likely to be in early February with a close date in early March).
More information about the programme is here.