Passwords are our weakest link in the fight against cybercrime. In 2017, 81% of hacking-related data breaches leveraged either stolen, weak or guessable passwords according to Verizon’s Data Breach Investigations Report.
Machine learning is a field in computer science that focuses on computational methods to recognize patterns and “learn” to perform tasks without specific programming. When algorithms are exposed to new data, they can autonomously adapt through a wide array of advanced techniques. The ability to perform complex mathematical calculations to extremely large quantities of data is becoming a driving force in the industry, especially in the realm of behavioral biometrics.
If you were not at the K(NO)W Identity Conference last week in Washington, DC, you are probably wondering what the connection is. In the Tuesday morning keynote address, David Birch of Consult Hyperion not only entertained the audience, but tal
In recent years, data science has emerged into the limelight and gained more attentive scrutiny by business leaders, academics and practitioners. Many have opined that this new field has become a driving force in technology markets, generating tremendous innovation and growth. At its core, data science is an interdisciplinary field that employs automated methods to analyze massive amounts of data, incorporating concepts from different disciplines such as: computer science, mathematics, statistics, analytics and modelling.