'Trust Attacks' Fueled by IoT RisksDarktrace CEO Nicole Eagan on Role Machine Learning Will Play in Future Attacks and Mitigation
So-called "trust attacks" aren't waged for financial gain. They're waged to compromise data, data integrity and to expose sensitive information. Darktrace CEO Nicole Eagan says trust attacks will be among our greatest IoT worries in 2017, because organizations are likely to see attackers using machine learning and artificial intelligence to turn internet-connected devices against us.
See Also: The Global State of Online Digital Trust
In this video interview about artificial intelligence and its link to the Internet of Things, Eagan discusses:
- How machine learning can learn an innate sense of self about every user and device on a network;
- Why an increasing number of internet-connected devices within businesses today is opening new and unforeseen doors of risk; and
- How an immune system technology is capable of identifying and taking precise, proportionate and automated action against in-progress threats.
As chief executive officer of Darktrace, Eagan has positioned the company as an international leader in cyberdefense. She was named Woman of the Year'at the 2016 Cyber Security Awards for successfully introducing disruptive machine learning technology to the global market. Her career as a technology executive includes over 25 years of commercial and marketing experience. Under her leadership, Darktrace has won over 50 awards, including World Economic Forum Technology Pioneer.