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Nettitude Data Loss Intelligence (DLI)

Nettitude Data Loss Intelligence (DLI)
Nettitude 数据丢失智能 (DLI)
批准号:
720538
负责人:
金额:
$31.35万
依托单位:
依托单位国家:
英国
项目类别:
GRD Development of Prototype
财政年份:
2014
资助国家:
英国
项目状态:
已结题
起止时间:
2014 至 --

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中文摘要
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英文摘要
Organisations value their data. Security controls have historically been implemented aroundthe environment in which data resides in order to bring the risk down to an acceptable level.The advancements in collaboration tools between businesses, use of cloud services, theborderless nature of our mobile work environments, and a reliance on 3rd parties - providingthis secure ‘wall’ around your data can be very difficult. Modern cyber-attacks utilisingreadily available advanced threat intelligence, sophisticated malware and spear phishingtechniques can penetrate traditional defences in a few steps.But as our data increases, keeping track of where it is and when it leaves our organisationbecomes harder.One of the first challenges for many companies is knowing what data they need to protect,where it actually resides and who has access to it. In the last 6-12 months there has been a realshift in security thought leadership from simply preventing it from happening, to knowingwhen it does.When you do get hacked, how do you respond, contain the problem and recover? Stopping itfrom happening is no longer a realistic expectation. ‘Security in Depth’ is the starting point,but without a strategy around ‘Response in Depth’ organisations will only know a problemexists after it is too late.Current solutions attempt to secure the environment, but if the data gets out, how do youknow where it has gone? Or when it went?Nettitude aim to address these issues through the development of a Data Loss Intelligence(DLI) prototype tool. This builds significantly on existing Data Loss Prevention (DLP) toolsby tagging real data and providing control over this data to its owners after it has left theirorganisation. The control and intelligence gathered by the data itself on its journey willprovide a unique approach to enhance incident response services based around log datacollection and analysis.This additional capability will allow you to know and control your data.
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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: