Leading UEBA Vendor Wins Award for Second Consecutive Year Based on Continued Innovations
SAN FRANCISCO – Feb. 13, 2017 – Gurucul, a leader in user and entity behavior analytics (UEBA) and identity analytics (IdA) for on-premises and the cloud, today announced that Gurucul Risk Analytics (GRA) received the Best User Behavior Analytics Solution Award for the second consecutive year from Cyber Defense Magazine (CDM). The awards will be presented at RSA Conference 2017 this week.
Gurucul will demonstrate the GRA platform at booth 2407 in the South Hall at the RSA Conference beginning tomorrow. CEO Saryu Nayyar will also be on hand to sign copies of her new book Borderless Behavior Analytics (www.borderlessbehavioranalytics.com), which features articles by some of America’s top CISOs and CSOs exploring the evolution of cyber environments and the emergence of identity as the fulcrum for most of today’s more serious attacks.
“Winning the CDM Award for Best User Behavior Analytics Solution again this year is a tribute and recognition for the fact that we continue to set the pace for new innovations in identity-based security,” said Saryu Nayyar, CEO of Gurucul. “Identity as an attack surface is emerging as a top concern for CSOs and will be a key theme in 2017 and beyond.”
The Cyber Defense Magazine awards are determined by an extensive editorial review and evaluation by independent information security experts. Gurucul is profiled in the magazine’s February issue, which is available in print on the show floor of RSA Conference 2017.
In the past 12 months Gurucul has introduced several industry first technologies including:
- Native support for Big Data of customer choice
- Self-Audits that leverage user context
- Dynamic Peer Groups for improved accuracy in detecting insider threats
- Intelligent Roles to reduce access risks.
- Gurucul STUDIO, which enables custom machine learning models to be created without coding and minimal data science knowledge
Gurucul GRA also reduces excess access and access outliers through a risk-based approach that provides identity analytics to Identity (IAM) and Privileged Access Management (PAM) solutions. This closes the awareness gap between what is provisioned and how the access is being utilized, along with discovery of unknown privilege access risks. Gurucul uniquely enables risk-based certifications, requests and approvals while eliminating rubber-stamping and access cloning for new hires and individuals who change roles in an organization.
Finally, Gurucul added hybrid behavior analytics models to its Gurucul Risk Analytics platform which can detect unknown security threats and identity access risks that span both cloud and on-premises environments.
Gurucul is changing the way enterprises protect themselves against insider threats, account compromise and data exfiltration on-premises and in the cloud. The company’s user behavior analytics and identity access intelligence technology use machine learning anomaly detection and predictive risk-scoring algorithms to reduce the attack surface for accounts, unnecessary access rights and privileges, and to identify, predict and prevent breaches. Gurucul technology is used globally by organizations to detect insider threats, cyber fraud, IP theft, external attacks and more. The company is based in Los Angeles. To learn more, visit www.gurucul.com and follow us on LinkedIn and Twitter.
Marc Gendron PR