Every single security company is talking about how they are using machine learning—as a security company you have to claim artificial intelligence to be even part of the conversation. However, this approach can be dangerous when we blindly rely on algorithms to do the right thing. Rather than building systems with actual security knowledge, companies are using algorithms that nobody understands and, in turn, discovering wrong insights.
In this session, we will discuss:
- Limitations of machine learning and issues of explainability
- Where deep learning should never be applied
- Examples of how the blind application of algorithms can lead to wrong results
Raffael Marty brings more than 20 years of cybersecurity industry experience across engineering, analytics, research, and strategy to the company. Marty provides strategic company growth counsel and guidance and is responsible for how Forcepoint creates value across the Forcepoint Human Point System.