iCyberPlatform - An innovative cybersecurity platform that uses AI, ML, Bayesian statistical models and the LDA algorithm to provide enhanced cyber defence against breaches
iCyberPlatform - An innovative cybersecurity platform that uses AI, ML, Bayesian statistical models and the LDA algorithm to provide enhanced cyber defence against breaches
批准号:
10037731
负责人:
金额:
$44.29万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --
中文摘要
iCyberDefence是一家总部位于英国的网络安全中小企业,其核心项目团队由Soumen Paul(产品负责人/商业主管)、Deb Dutta(项目技术主管)、Neil Barnatt(质量保证)和Arpita Dey(高级数据分析师)组成。英国的网络安全漏洞继续增加,2021年报告了数百万起。企业的成本是毁灭性的。企业希望投资于高质量的网络防御,但这既复杂又昂贵。如果没有针对黑客和违规行为的全面保护,企业仍然很容易成为攻击目标。iCyberDefence正在建立一个创新的网络安全平台(iCyberPlatform),它可以比竞争对手准确地检测到25-45%的威胁。这是一种具有成本效益的解决方案,比同类产品便宜35%。更高的检出率将使安全运营中心(SOC)团队的效率提高30-40%。采用iCyberDefence产品的公司可以提高生产率,从而节省时间和金钱。节省将来自产品性能和减少违规。通过其创新的技术方法,iCyberPlatform将为传统的威胁检测软件提供独特和开创性的替代方案。
英文摘要
iCyberDefence is a UK-based cybersecurity SME with a core project team of Soumen Paul (Product Owner/Commercial Lead), Deb Dutta (Project Technical Lead), Neil Barnatt (Quality Assurance) and Arpita Dey (Senior Data Analyst).Cybersecurity breaches continue to rise in the UK, with millions reported in 2021\. The cost to businesses is devastating. Companies want to invest in high-quality cyber defence, but it is complex and expensive. Without comprehensive protection from hackers and breaches, companies remain easy targets.iCyberDefence is building an innovative cybersecurity platform (iCyberPlatform) that can detect threats 25-45% more accurately than its competitors. It is a cost-effective solution that will be 35% cheaper than similar products.A higher detection rate will increase security operations centre (SOC) teams' efficiency by 30-40%. Companies that adopt iCyberDefence's product can increase their productivity and, therefore, save time and money. Savings will come from both product performance and reduced breaches.Through its innovative technological approach, iCyberPlatform will offer a unique and pioneering alternative to traditional threat detection software.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金