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Black Hat USA 2018
Sat, Aug 4 - Thu, Aug 9
in Las Vegas, NV
Black Hat USA 2018 Jump to

Join Forcepoint at Black Hat USA 2018 to explore our innovative security approach, which uses behavior analytics and automated policy enforcement to identify high-risk activity, prioritize the security response, and adapt security controls in near real time.

Level up with Forcepoint at Black Hat USA 2018

Booth #620
,
Career Zone Booth #CZ115
August 8, 2018 - August 9, 2018
| 10:00 AM - 7:00 PM

Legacy cybersecurity can only take you so far—it’s time to level up with risk-adaptive protection. Join Forcepoint at Black Hat USA 2018 to explore our innovative security approach, which uses behavior analytics and automated policy enforcement to identify high-risk activity, prioritize the security response, and adapt controls in near real time.

Our security experts will host insightful booth demos and informative sessions around the Human Point System, which includes next-generation security for web, email, cloud applications, data, enterprise-scale SD-WAN, and cross domain transfer.

Booth hours are 10 am - 5 pm on Thurs, Aug 9.

Stop by our booth to watch a theater presentation and receive a free t-shirt!

Our Sessions

Using Language Modeling to Verify User Identities

Business Hall - Theater A - Level 1 (subject to change)

Aug 8, 2018 |
12:30 PM - 1:30 PM

How can we verify identity using unstructured data from a user device? While biometrics like fingerprinting and facial recognition are often used for authentication, research around natural language processing has found people's use of language as uniquely identifying.

In this session, we will discuss multiple facets of language modeling:

  • Efficacy on different kinds of unstructured text within a corporate network
  • As a technique to detect anomalous user activity, compromised accounts, and stolen credentials
  • As an integral part of a cybersecurity program in addition to UEBA and risk-adaptive protection

Speakers

Chris Poirel

Chris Poirel

Dr. Chris Poirel leads the data processing engineering team in the development of core analytic infrastructure and contributes heavily to all Forcepoint UEBA (formerly RedOwl) data science efforts. Chris joined RedOwl in 2013 after completing his PhD in computer science at Virginia Tech.

Eduardo Luiggi

Dr. Eduardo Luiggi serves as a Senior Data Scientist at Forcepoint (formerly RedOwl), where he is responsible for regulatory and cybersecurity enterprise solutions. He has a PhD in Experimental High Energy Physics from Vanderbilt University and conducted postdoctoral research at the University of Colorado, where he led a statistical data analysis team at the Large Hadron Collider.

AI & ML in Cybersecurity - Why Algorithms are Dangerous

South Seas ABE

Aug 9, 2018 |
11:00 AM - 11:45 AM

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

Speakers

Raffael Marty

Raffael Marty brings more than 20 years of cybersecurity industry experience across engineering, analytics, research and strategy to Forcepoint. Prior to joining the company, Marty ran security analytics for Sophos, a leading endpoint and network security company, launched pixlcloud, a visual analytics platform, and Loggly, a cloud-based log management solution. Additionally, Marty held key roles at IBM Research, ArcSight and Splunk and is an expert on best practices and emerging innovative trends in the security analytics space. Marty is one of the industry’s most respected authorities on security data analytics, big data and visualization. He is the author of “Applied Security Visualization” and is a frequent speaker at global academic and industry events. Marty holds a master's degree in computer science from ETH Zurich, Switzerland.