Despite their known vulnerabilities, one-time passwords remain one of the most widely used forms of two-factor authentication. From SIM swaps to phishing, malware, and a whole host of man-in-the-middle attacks, weaknesses in OTP security are putting customers, and businesses, at great risk.
Like any organization in the midst of digital transformation, corporate treasury departments are seeing a rise in cybercrime, including payment fraud, social engineering, and account takeover attacks.
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