Thales has officially launched Data Risk Intelligence, a cutting-edge solution designed to identify and address threats to sensitive data, leveraging the highly-regarded Imperva Data Security Fabric (DSF) and Thales’s own CipherTrust Data Security Platform. This innovative offering is the latest result of Thales’s strategic acquisition of Imperva in December 2023. Tasked with offering security teams comprehensive visibility into data locations, types, and associated risks, Data Risk Intelligence comes at a time when, according to the 2024 Thales Data Threat Report, around 93% of enterprises have reportedly faced an increase in threats.
Enhanced Risk Prioritization
Comprehensive Visibility into Data Risks
The primary goal of Data Risk Intelligence is to enhance risk prioritization and decision-making by offering unified visibility into data risks, including critical insights into encryption strength across an organization’s entire data ecosystem. CIOs, CISOs, and data risk specialists can utilize this tool to identify and categorize critical data at risk based on severity and likelihood. This enables enterprises to effectively prioritize their risk mitigation strategies. The integration of intelligence from both the DSF and CipherTrust platforms ensures that the solution delivers precise risk scores, which are essential for informed decision-making.
This combined intelligence translates into a more robust risk prioritization mechanism, reducing complexity and delivering actionable risk indicators. The tool provides organizations with the ability to customize risk indicators according to their unique environments and integrate encryption capabilities from the CipherTrust platform. Such comprehensive safeguarding of data ensures a reduction in data breaches and a strengthened security posture. Beyond that, advanced analytics capabilities, including posture-based analysis and machine-learning behavioral models, further enhance the identification and prioritization of high-risk data.
Advanced Analytics and Machine Learning
Data Risk Intelligence employs advanced analytics to offer security teams the ability to effectively identify and prioritize high-risk data. The use of posture-based and machine-learning behavioral models plays a crucial role in this process. For instance, posture-based analytics helps in analyzing the current security status of the data, determining vulnerabilities, and assigning risk scores accordingly. On the other hand, machine-learning models predict potential risks based on historical data patterns, thus offering predictive insights that are instrumental in preemptively addressing threats.
Moreover, the solution goes beyond identifying and prioritizing risks. It centralizes data risk visibility and management, offering valuable context regarding data vulnerabilities. This centralized approach offers a holistic view of organizational, asset, and regulatory risks, consolidating all relevant information in one place. By integrating such insights into their security strategies, organizations can more effectively allocate resources to protect the most vulnerable data, thereby enhancing their overall security framework. This makes Data Risk Intelligence an indispensable tool in contemporary enterprise security management.
Centralized Data Risk Management
Holistic Approach to Data Security
Data Risk Intelligence centralizes the visibility and management of data risks, providing a holistic view that aids organizations in prioritizing protection where it is most crucially needed. The solution addresses increasing data security complexities by contextualizing vulnerabilities and offering an all-encompassing perspective on both assets and regulatory risks. This centralized approach not only maximizes protection but also optimizes resource allocation within the organization, ensuring that security efforts are directed toward the most pressing vulnerabilities.
In addition to its centralization capabilities, the solution is designed to be flexible and customizable, allowing organizations to tailor risk indicators to their specific environments and integrate seamlessly with existing encryption tools provided by the CipherTrust platform. Such customization ensures that each organization’s unique data security needs are met, reducing the complexity traditionally associated with managing disparate security tools. This, in turn, streamlines operations and enhances overall efficiency in data protection efforts.
Integration with Existing Security Platforms
Thales has unveiled Data Risk Intelligence, a state-of-the-art solution aimed at detecting and addressing threats to sensitive data. This advanced tool uses the well-regarded Imperva Data Security Fabric (DSF) in combination with Thales’s CipherTrust Data Security Platform. This innovation is a culmination of Thales’s strategic acquisition of Imperva in December 2023. Data Risk Intelligence is designed to provide security teams with comprehensive insight into where data is stored, its types, and the potential risks associated with it. This launch is particularly timely, as the 2024 Thales Data Threat Report reveals that approximately 93% of enterprises have experienced a surge in data threats. The new solution will empower organizations to better understand their data landscape and respond more effectively to security challenges. By integrating these robust platforms, Thales aims to offer a holistic and proactive approach to data security, addressing the increasingly complex threat environment that modern enterprises face.
