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Using Big Data For Active And Contextual Security

Organizations are turning to leverage big data and analytics to ‘look’ for indicators of intent or indicators of compromise, thus helping organizations focus their security resources on the threats at hand. The challenge though is how to process the vast amount of data, and furthermore, keep it relevant, timely, actionable – contextual. The challenge becomes harder when threat actors utilize a variety of techniques to maintain anonymity, reduce their ‘fingerprint’ and mask their intent.

In this webinar, John Ellis, Akamai’s Chief Strategist for Cyber Security (APJ) will share how Akamai leverages the vast amount of data that it sees daily to help its customers improve their security decisions, when the threat would otherwise be unclear. John will showcase how Akamai’s big data and analytics platform, Cloud Security Intelligence, powers its Client Reputation service. A service that provides the ability to forecast intent and protect applications against Distributed Denial of Service (DDoS) and application layer attacks, and how active defence can be applied to a variety of response mechanisms, delivering an intelligent contextually aware defence.

Join Akamai and (ISC)² on Aug 17 (Wednesday) at 2:00p.m. (Singapore time) for a Security Briefing on how to use Big Data for active and contextual security.
Recorded Aug 17 2016 62 mins
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Presented by
John Ellis, Chief Strategist, Cyber Security (APJ), Akamai Technologies; Moderator: Chuan-Wei Hoo, Technical Advisor, (ISC)²
Presentation preview: Using Big Data For Active And Contextual Security

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    In recent years, we have seen large-scale botnets used to execute attacks rarely seen in the past -- botnets that incorporate new features and bigger capabilities than ever before. How and why some of these botnets remain resilient is a question that needs to be answered, and one of the reasons is Fast Flux. Fast Flux is a DNS technique used by botnets to hide various types of malicious activities (such as phishing, web proxying, malware delivery, and malware communication) behind an ever-changing network of compromised hosts acting as proxies. In general, a Fast Flux network is mostly used to make communication between malware and its command and control server (C&C) more resistant to discovery. Akamai’s high visibility to both Web and Enterprise traffic enables new and unique insights on the behavior of such Fast Flux networks.

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  • Equifax: 又一启重大数据外泄事件! 分析事件根源、探讨解决方案 Recorded: Nov 8 2017 59 mins
    演讲人: Disney Cheng 郑学辉, Solution Architect 架构顾问, Tenable 亚太区; 主持人: 吴树鹏, (ISC)² 北京分会会员主席
    Equifax征信数据的外泄将对美国上亿人口产生潜在危害,敏感的个人信息(包括银行账户、信用评分和身份信息)可被犯罪分子利用,导致严重的安全隐患和财务损失。特别令人惊讶的是,犯罪分子利用了已知的网页Apache Struts漏洞发动攻击,而“漏洞补丁”早在数月前就已被公布及可下载使用。


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  • 了解安全威胁态势和凭证盗用(撞库)攻击 Recorded: Sep 27 2017 62 mins
    演講人: 李文涛, 阿卡迈(Akamai)大中华区解决方案部门总经理, 萧锦明, Akamai亚太高级企业安全系统架构师; 主持人: 阎光,(ISC)² 上海分会主席,德勤风险咨询副总监

    在今天的会议当中,Akamai 将基于已发布的《2017 年第二季度互联网安全现状》报告,与大家分享有关安全威胁态势的深度见解。

    近些年来,凭据滥用(撞库)攻击已成为一种普遍的威胁,而且复杂性正日益增加。我们也将对此进行详细介绍。凭据滥用(撞库)攻击活动一旦成功,用户将遭受无法访问、数据泄露或欺诈性交易等损失。Akamai 将揭示这些攻击活动中使用的技术以及难以检测出这些活动的原因。我们还将展示抵御此类攻击的方法和解决方案,从而使您的组织不再遭受此类攻击的影响。

    参加Akamai 和 (ISC)² 在09月27日下午2:00至3:00的在线论坛《了解安全威胁趋势和凭证盗用(撞库)攻击》,聆听专家对时下安全威胁的解读,还等什么?赶紧加入我们吧。
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  • Title: Using Big Data For Active And Contextual Security
  • Live at: Aug 17 2016 6:00 am
  • Presented by: John Ellis, Chief Strategist, Cyber Security (APJ), Akamai Technologies; Moderator: Chuan-Wei Hoo, Technical Advisor, (ISC)²
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