Machine Learning for Security Applications: video now, plus live Q&A session 2 October

In an ever-more competitive world, business intelligence is vital. Powerful new data science, advanced analytics, and machine learning technologies enable organizations to make smarter, qualified, data-driven business decisions.

Later this year, Oxford Computer Training (OCT) will launch Project Botticelli’s data science training courses alongside its existing identity training courses. What connects these two areas?

Learn what Machine Learning can offer Identity and Security in our new video and live Q&A session on 2 October.

For over a decade, OCT’s training portfolio has focused on identity management solutions that enable and enhance security. It’s now clear that data science and machine learning also have a part to play in enabling and enhancing security.

Security transactions represent a massive stream of data – and, although new machine learning tools can help to make sense of this data, so far, few organizations are making the most of them to enhance security.

New video

Rafal Lukawiecki and Hugh Simpson-Wells
Rafal Lukawiecki and Hugh Simpson-Wells

In our new video Identity Management expert Hugh Simpson-Wells (Founder and CEO of OCT) and Data Science expert Rafal Lukawiecki (Founder of Project Botticelli) discuss how machine learning could be used for IT security purposes by letting an IT system monitor itself by looking for unusual behaviour, including implementing a live anomaly detection solution based on a machine-learned, cluster model of normal behaviour. They talk about:

  • New tools for anomaly detection and threat prediction
  • The challenge of false positives
  • The security arms race and adversarial machine learning – how improvements in machine learning benefit the bad guys as well as the good guys
  • The abuse of our privacy and our data by organizations
  • The role that governments play
  • The expense of making systems both secure and convenient
  • Potential social consequences as we move from imperfect passwords and passports to (inevitably) also imperfect machine learning based systems
  • Who would benefit from learning about such areas, and where to start

Hugh Simpson-Wells and Rafal Lukawiecki discuss Machine learning security applications Watch the video now

Live discussion and Q&A on 2 October – register now!

DATE Wednesday 2 October 2019
TIME 7am Pacific | 3pm UK | 4pm Western Europe
DURATION 45 minutes

Rafal and Hugh will talk about the relationship between new machine learning technologies, identity management and security and answer your questions. You are invited to ask any questions in advance here. Hugh and Rafal will answer as many as they can in the time allotted. Please submit your questions by Friday 27 September. Register for the Live Q&A session here:

Machine Learning webinar Wednesday 14 August 2019 Register here!

This session is for IT professionals, DBAs, security experts, architects, organizational IT decision makers, and anyone interested in machine learning from a practical perspective.

Want to learn more about Data Science and Machine Learning?

Oxford Computer Training (OCT) is launching a new course in conjunction with Rafal Lukawiecki from Project Botticelli – Practical Machine Learning, AI & Data Science on Azure ML/Server and Azure SQL/Server.