Data By the Bay has ended
Data By the Bay is the first Data Grid conference matrix with 6 vertical application areas  spanned by multiple horizontal data pipelines, platforms, and algorithms.  We are unifying data science and data engineering, showing what really works to run businesses at scale.
Back To Schedule
Wednesday, May 18 • 3:00pm - 3:40pm
Insider Text

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

"Insider Threat" is a major area of risk for many organisations, in both the government and commercial spheres. Employees, contract staff and suppliers are often in a strong position to perpetrate fraud, steal secret information or intellectual property, or sabotage computer systems, and effectively evade detection for long periods. After-the-fact investigation is often challenging and labour intensive, and early prediction and positive mitigation, which may be far more effective, is even more difficult to automate. To trained eyes, text sources like chat and email often contain signals that insiders are on a path to hostile action. However, making use of these sources in ways that respect individual rights and improve trust is as much of a challenge as the technical one of extracting the signal. Mr. Stewart outlines the role and limitations of text analysis in the automation of predicting insider threat by discussing key results in the area of intent detection, and argues that (given the projected state of the art) many organizations might achieve greater harm reduction by developing or adopting what IBM has called "Systems of Engagement".

avatar for Gregor Stewart

Gregor Stewart

VP Product Management, Text Analytics, Basis Technology
As Vice President of Product Management at Basis Technology, Mr. Stewart helps to drive company strategy and ensure that the company’s offerings stay ahead of the curve. Previously Mr. Stewart was the CTO of a storage services startup and a strategy consultant. He holds a Masters... Read More →

Wednesday May 18, 2016 3:00pm - 3:40pm PDT