Operational Impact Track Record | Global Cyber Risk Data | Fraud Detection Data | Insurance | M&A | DORA | NIS2 | Supply Chain | Daily Refresh
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资源简介:
> What is the Operational Impact Track Record? The Operational Impact Track Record is a data API designed to track extortion requests by cyber gangs and other illicit activities like DDoS threats, providing invaluable fraud detection data and cyber risk data indicators. > What are the key benefits? - Early identification of fraud risks during underwriting and presign - Constant vigilance over ransomware extortions and cyber-attacks, including stealthy Denial of Service (DoS) attacks. - Undeniable track record for cyber risk evaluations > Why this is important? the business interruption we track have consequences: claims could arise and sanctions may be imposed, especially in the context of the NIS2 directive and the DORA, and intellectual property theft may also be stolen. > Why work with us? We bring pivotal intelligence that’s invaluable for businesses focused on vigilant risk management. Our Double Extortion platform has been recognized by international Media and Italian press as a key tool able bring cyber intelligence to a new level. > How many data do you provide? This package tracks hundred of thousands cyber events related to company worldwide. We provide 5 year historic and daily refreshed data.
何为运营影响追踪记录?
运营影响追踪记录(Operational Impact Track Record)是一款数据应用程序接口(API),可用于追踪网络犯罪团伙的勒索请求及分布式拒绝服务(Distributed Denial of Service, 简称DDoS)威胁等非法网络活动,能够提供极具价值的欺诈检测数据与网络风险数据指标。
核心优势有哪些?
- 在承保与预签约环节及早识别欺诈风险
- 持续监控勒索软件勒索及各类网络攻击,包括隐蔽型拒绝服务(Denial of Service, 简称DoS)攻击
- 为网络风险评估提供确凿可信的追踪记录
该工具为何至关重要?
我们所追踪的业务中断事件会引发诸多负面影响:可能催生理赔申请、招致监管处罚,尤其是在符合《网络与信息安全指令(NIS2)》与《数字运营韧性法案(DORA)》的监管框架下,同时还可能发生知识产权失窃。
为何选择与我们合作?
我们可为专注于精细化风险管理的企业提供至关重要的核心情报。我们的双重勒索检测平台已获得国际媒体与意大利本土媒体的认可,被视为将网络情报提升至全新层级的关键工具。
你们可提供多大规模的数据量?
本数据集可追踪全球范围内数十万起与企业相关的网络事件,我们提供5年历史数据与每日更新的实时数据。
提供机构:
Digital Intelligence Lab
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集通过API提供全球网络风险事件的追踪记录,包括勒索软件、DDoS攻击等非法活动数据,支持欺诈检测和风险评估。每日更新的5年历史数据适用于保险、并购等领域,并满足NIS2和DORA等合规要求。
以上内容由遇见数据集搜集并总结生成



