Artificial Intelligence & Machine Learning in Cybersecurity

  •  TYPE: Track    START DATE: Wednesday, May 15, 2019     START TIME: 11:00  
Parent Track


Intelligence provides us with the capability to create a better future and one with a more human face.  Using AI to synthesize and amplify human intelligence has the potential to lead help use create a new and previously unseen era of prosperity.  However, this depends upon us controlling how we exploit these technologies to keep them safe and secure by ensuring that they are used ethically.

From the beginning of the industrial revolution, we have looked for ways to structure our work in a way that can be automated.  Initially, this replace the need for highly skilled artisans and put the individual craftspeople out of work.  As AI reaches its potential it has the capability to replace today’s knowledge worker with knowledge-based systems.  This may provide some relief to areas where there are skills shortages but could also create unemployment in others.

One area of potential benefit is in the area of cyber-security.  The threats to organizations from data theft, ransomware and other forms of cyber-crime continue to increase and cyber adversaries are using every increasingly sophisticated methods of attack.  These attacks can result in severe financial penalties as well as loss or intellectual property and brand damage.  Most organizations have already implemented many layers of defences against cyber-attacks.  These will include network firewalls, intrusion prevention systems, access controls as well as encrypting sensitive data. 

 This track will explore how the application of Artificial Intelligence and Machine Learning to cybersecurity has the promise to understand, detect and predict cyber-attacks.

Continuing Professional Education Credits:

KuppingerCole is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing education on the National Registry of CPE Sponsors. State Boards of accountancy have final authority on the acceptance of individual courses for CPE credits. Complaints regarding registered sponsors may be submitted to the National Registry through its website:

After attending this track you will be able to:

  • Describe how machine learning can be applied to detect abnormal behaviours
  • Explain how this can help to identify cyber-attacks at an earlier stage
  • Describe the limitations of this approach
  • Understand how this field is evolving  
  • Describe the AI Powered Conversational Experience at the Singapore Art Museum;
  • Describe the limitations of what exists today;
  • Explain the Secrets to Successful AI.

You can get 2 CPEs for this track.


AI for the Future of your Business

Date: Wednesday, May 15, 2019 Time: 11:00-12:00

AI for the Future of your Business
Mike Small, KuppingerCole • Dr. Barbara Mandl, FOSTER FORE

AI covers a range of technologies and some of these are sufficiently mature for commercial exploitation and some are not.  This session will describe the areas where they can be applied today. It will include real life examples of how it is being used.   It will also discuss the limitations of the current state of the art and some of the research into overcoming these. 

Use Case: AI Powered Conversational Experience at the Singapore Art Museum
Lynn Sim, Singapore Art Museum

Panel: What are the Secrets to Successful AI?
Mark Stephen Meadows, Botanic Technologies, Inc. • Lynn Sim, Singapore Art Museum • Ken Herron, UIB

You have AI. She has AI. It’s 2019. We’re all going to have AI powering conversational experiences with our customers. But there’s a problem. How do you make your AI stand out from your competitors’ AI?

Devil's in the Details: AI, Bad Guys, & Messy Data

Date: Wednesday, May 15, 2019 Time: 12:00-13:00

Devil's in the Details: AI, Bad Guys, & Messy Data
Chris Mack, Basis Technology

Outsmarting AI
Frederic Stallaert, ML6

One can think of many arguments of why machine learning (ML) is a game changer in the field of cybersecurity. In fact, today, many ML applications already exist to protect our systems from attacks in more intelligent ways than before. However, have you considered that your own ML model can be the direct target of attacks? This talk elaborates on the topic of adversarial attacks in ML; How they work and how you can defend against them.  Key takeaways: Know how your ML...

Trusting Your AI
Dr. Richard Tomsett, IBM

The huge promise offered by AI, and particularly machine learning, has led to an explosion in uptake of AI methods applied to a wide variety of business problems. However, machine learning and the data to which it is applied can be extremely complex, resulting in opaque systems that are not understood by their creators and not trusted by their users. In this talk, I will discuss approaches that can improve trust in AI systems, focussing in particular on explainability (how and why did the...

Munich, Germany


European Identity & Cloud Conference 2019

Registration fee:
€2100.00 $2625.00 S$3360.00 23100.00 kr
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Contact person:

Mr. Levent Kara
+49 211 23707710
  • May 14 - 17, 2019 Munich, Germany