As enterprises rapidly adopt cloud technologies, they face the same security challenges with cloud applications they did with in-house applications and systems. In many cases more. It is increasingly difficult to control user access and activity, as well as data movement and maintenance for these systems. While some operational and infrastructure issues are less relevant in the cloud, concerns relating to data breaches, data loss, account hijacking, malicious insiders, and shared technology are even more prevalent, representing constantly growing risks.
Why Choose Gurucul Cloud Analytics?
Provides full insight into cloud applications with contextual views of an identity, its access and associated activity.
Highlights behavioral anomalies, to identify insider threats, compromised accounts, compliance violations, data leakage.
Provides an organization with continuous insight into its cloud infrastructure.
Facilitates security incident investigation and forensics.
Employs big data machine learning, contextual access, and user behavior modeling for state-of-the art intelligent security analytics.
Reduces the attack surface for accounts, unnecessary access rights and privileges, and identifies, predicts and prevents breaches.
Gurucul’s Cloud Analytics Platform (CAP) – Features
The Gurucul Cloud Analytics Platform is an API-based CASB (Cloud Access Security Broker) built on our core architecture PIBAE (Predictive Identity-Based Behavior Anomaly Engine), which offers a rich array of predictive security analytic features.
360° View of Identity, Access, and Activity
Correlate data across multiple cloud applications to create contextual identity – who is the user, what access they have, and what is their activity
Detailed Insight into all Anomalous Behaviors – Access and Activity
Machine learning algorithms are executed on access and usage attributes to build cloud-centric anomalous behavior profiles across the enterprise.
Designed to Identify Behavior Anomalies
Self-training algorithms are tailored to identify learned anomalous behaviors immediately upon technology deployment.
Context-Aware Visibility of an Attack Lifecycle
Out-of-the-box timeline view to highlights the anatomy of an advanced attack whether, it be an insider or outsider.
What makes Gurucul Cloud Analytics more effective?
Gurucul Cloud Analytics’ core architecture is built on PIBAE™ (Predictive Identity-based Behavior Anomaly Engine)
Gurucul Cloud Analytics Successes
CAP has predicted, detected and deterred insider threats and cyber fraud for cloud applications via its API-based CASB solution.
Leveraged for hybrid deployments of on-premises and cloud behavior analytics, Gurucul has prevented data exfiltration with risk-scored timelines through predictive security analytics.
CAP has helped numerous customers detect high privileged account abuse, account hijacking and anomalous activity.
CAP’s real-time access analytics identify anomalies, and also improve access control, and data governance.
Reduction in accounts and access entitlements has reduced identity risk and exposure for virtually all of Gurucul’s CAP customers, in doing so, it enhances certifications with user, account, and entitlement risk determined by behavior analytics.