An innovative privacy management SaaS platform using Python, supervised learning and survey assessments that could save businesses up to £42K a year
An innovative privacy management SaaS platform using Python, supervised learning and survey assessments that could save businesses up to £42K a year
批准号:
10047228
负责人:
金额:
$42.84万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --
中文摘要
PCL是一家英国隐私合规中小企业,其核心项目团队由Steve Wright(首席执行官)、Alistair科尔(客户成功)、Vickie Guilloit(培训师)、Matt坦纳(解决方案架构师),Pete Ansell(软件开发人员),Andy Garner(产品官)和Akash Yadya(数据科学家)。自2018年以来,欧盟和英国都推出了新的数据保护法规,由于全球范围内进一步的数据保护法律和云服务的兴起,该领域变得更加复杂。英国和欧盟都开出了数百张罚单,平均罚款金额高达数百万英镑,而欧盟法院2021年6月针对Facebook的裁决更是让执法变得更加艰难。GDPR合规性的挑战甚至导致一些企业倒闭,因此需要帮助。PCL的解决方案是一个全面的SaaS平台,可以管理数据保护和培训。其专有的模块化框架是利用60多年的专业知识开发的,构成了成熟度评估的基础,并能够收集定性和定量数据。它使用Python进行ML和监督学习来对执法行动进行分类,从而产生预测的防御分数。该产品提供量身定制的培训和跟踪,使组织在面对监管机构时更加强大。PCL将为企业节省用于维护GDPR合规性的资金,这可能会达到数百万英镑,并帮助他们培养一种有利于客户的隐私文化。
英文摘要
PCL is a UK privacy compliance SME with a core project team of Steve Wright (CEO), Alistair Cole (customer success), Vickie Guilloit (trainer), Matt Tanner (solutions architect), Pete Ansell (software developer), Andy Garner (product officer) and Akash Yadya (data scientist).Since 2018, when new data protection regulations were introduced in both the EU and the UK, the field has been complicated even more by further data protection laws worldwide and the rise of cloud services. Both the UK and the EU have issued hundreds of fines costing millions of pounds on average, and the Court of Justice of the European Union's ruling against Facebook in June 2021 has made enforcement even tougher. The challenge of GDPR compliance has even led to some businesses collapsing, so help is needed.PCL's solution is a comprehensive SaaS platform that manages data protection and training. Its proprietary modular framework, developed using over 60 years of expertise, forms the foundation of the maturity assessments and enables the gathering of both qualitative and quantitative data. It uses Python for ML and supervised learning to classify enforcement actions and therefore produce a predicted defensible score. The product accommodates tailored training and tracking to make organisations stronger when facing regulators. PCL will save businesses the money they spend on maintaining GDPR compliance, which can run into millions of pounds, and help them foster a culture of privacy that will benefit their customers.
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批准号:61173188
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项目类别:面上项目
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资助金额:52.0万元
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批准年份:2011
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负责人:仲红
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依托单位: