Balabit’s behavior analytics solution now features biometrics analysis

Balabit released version 2016.03 of Blindspotter at the RSA conference in San Francisco this past week.

Blindspotter 2016.03 user behavior analytics solution features several new and unique machine learning algorithms to help security teams quickly identify hijacked accounts or unauthorized account sharing and to prevent large-scale data breaches or compliance problems.

“Besides the existing set of several sophisticated machine learning algorithms, the new release of Blindspotter further improves behavior analysis by adding the capability of detecting scripted activity on accounts and by performing a biometric analysis of keystroke dynamics and mouse movements,” said Péter Gyöngyösi, Product Manager of Blindspotter at Balabit. “Blindspotter enables CIOs and CSOs to get a comprehensive, unique visualization of their IT ecosystem. Gaining a better understanding on how IT services are used by specific users or user groups, IT professionals can get immediate, actionable and tangible insight.”

Some of the key new features of Blindspotter 2016.03 include: detection of system accounts used by humans and personal accounts used by scripts; screen content analysis, and; biometric analysis of user input.

Blindspotter is a key component of Balabit’s Contextual Security Intelligence (CSI) Suite. The company’s CSI strategy protects organizations in real-time from threats posed by the misuse of high risk and privileged accounts.

Balabit is headquartered in Luxembourg and operates globally through a network of local partner offices across the United States and Europe.

Article Topics

Balabit  |  behavioral biometrics  |  biometrics  |  data protection  |  identity analytics  |  keystroke biometrics  |  machine learning  |  online authentication  |  RSA  |  threat detection