Artificial Intelligence & Machine Learning in Cybersecurity
- TYPE: Track START DATE: Wednesday, May 15, 2019 START TIME: 11:00
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: www.learningmarket.org
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.
- Registration fee:
- Contact person:
Mr. Levent Kara
+49 211 23707710
- May 14 - 17, 2019 Munich, Germany
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