Compare ITsMine Beyond DLP vs. Skyhigh Security Cloud Access Security Broker (CASB)

ITsMine Beyond DLP™ transcends conventional Data Loss Prevention (DLP) methods by shielding organizations from a wide array of data threats. It eliminates the need for policies or endpoint agents, ensuring there is no impact on employee productivity while providing protection even after data has been exfiltrated. As incidents of data loss become increasingly frequent and destructive, stemming from both intentional and unintentional sources, a new security strategy is imperative. Beyond DLP™ introduces a revolutionary way for organizations to monitor and safeguard their data, regardless of its location, whether within internal networks or outside. It allows for the maintenance of stringent security measures whether data resides in on-premises systems or cloud environments. This innovative solution not only fosters employee productivity but also maintains control over sensitive data usage and location. Furthermore, it simplifies compliance with a variety of data protection regulations, including GDPR, CCPA, PCI, and HIPAA, while offering robust access control, data breach identification, and comprehensive reporting capabilities. Ultimately, organizations can confidently manage their data security without sacrificing efficiency.

Transform your cloud footprint from an opaque entity to a transparent resource with our top-tier Cloud Access Security Broker (CASB), which is a vital part of Skyhigh Security's Secure Service Edge (SSE). It identifies sensitive data stored in cloud services while addressing any content violations. The system implements real-time controls to safeguard data during user interactions, offering detailed content sharing and access permissions. It features the largest and most precise catalog of cloud services, assessed through a customizable 261-point risk evaluation to enhance risk-aware cloud governance strategies. Additionally, it maintains a thorough audit trail documenting all user and administrator actions, which is essential for post-incident reviews and forensic analyses. By employing machine learning, it identifies behaviors indicative of negligence or malicious intent, such as insider threats involving the theft of sensitive information. Furthermore, it secures sensitive structured data through peer-reviewed encryption techniques that preserve functionality while utilizing keys controlled by the enterprise itself, thereby ensuring comprehensive protection across all fronts. This integrated approach not only bolsters security measures but also fosters a culture of accountability within cloud operations.