ATTEND FOR FREE Join 5,000 delegates and attend Birmingham Tech Week 2020

Dark Web and Threat Actors

A talk by Michael Earle and Chris Woods
CyberQ Group and CyberQ Group

16 October 2020, 10:15 AM

Attend Birmingham Tech Week for FREE!

By submitting your email you agree to the terms
Book my place

About this talk

Exploring the good, the bad and the ugly side of the Dark Web, presented by guest speakers Chris Woods, CEO and Michael Earle, Threat Intelligence Lead from the CyberQ Group.

During this presentation, Chris and Michael will provide an overview of the Dark Web. They will demonstrate what the Dark Web is used for; COVID 19 scams, technical insights, threat intelligence on breaches and the positive side of the Dark Web.

Participants will have the opportunity to ask questions. This session is being recorded and the recording will be made available to registrants.

Michael Earle

Michael is an experienced threat analyst leading the innovation and intelligence services within CyberQ Group. Managing global teams of investigators, with skills ranging from asset & bitcoin tracing to human & company investigations. Liaising with clients and breaking down the complex nature of investigations, maintaining communication and insight into what has been discovered. Michael also is an expert in exploring and uncovering aspects of the dark web and de-anonymising the anonymous.

Chris Woods

An experienced leader within the cyber security realm, Chris Woods is also the founder and director of CyberQ Group – an award-winning cyber security company in the UK. Having previously managed elite security teams at the European Space Agency, HP and Fujitsu, Chris brings over 20 years of pure Cyber Security experience developed within the EU and MENA regions. Whilst at HP, Chris developed and led a cyber security practice, culminating in the acquisition of ArcSight for $1.5b. Chris is now leading a passionate team of cyber and business professionals, developing the next generation of Security Operations Centres using Big Data analytics and Machine Learning.

Learn from amazing companies like these


Proudly supported by