Take Data Security Posture to the Next Level
Access
Threats
Risk
Classify
Discover
AI-enhanced,
Next-Generation DSPM
To proactively mitigate your data security risks, such as misconfigurations, mislocated data, sensitive data exposures, duplicated data, and compliance violations, requires more than simple data classification.
Sentra DSPM goes beyond detecting standard data like social security numbers. It leverages machine learning to identify complex data types such as intellectual property or unique customer records, and does so for unstructured stores that often represent visibility gaps, surpassing traditional data analysis methods. It fully evaluates your data posture, highlights exposures, and assigns a relative risk score, allowing you to speed remediation efforts.
Supercharge Your Data Loss Prevention
Endpoint DLP solutions, originally designed for on-premises data protection, lack accuracy and are a misfit when it comes to the dynamic and fluid nature of cloud-native ecosystems.
Sentra DSPM’s cloud-native approach to DLP leverages automated detection and remediation capabilities to effectively tackle data risks at scale. It’s designed to keep pace with moving cloud data, ensuring that the security posture has not been compromised.
It enriches your DLP and other controls by incorporating accurate, sensitive data findings into your cloud security events. High-priority risks and threats are identified and automatically remediated, including correcting configuration issues and ensuring users have appropriate access permissions at all times. Sentra monitors all data access activities to sensitive data, and also integrates with endpoint DLP solutions such as Microsoft Purview Data Loss Prevention.
Ensure Secure and Responsible AI
It’s no secret that AI has shortened development cycles and sped innovation. Unfortunately, the extensive data consumption and rapid adoption of LLMs has also revealed critical challenges surrounding the protection of associated data, and its integrity and privacy.
Sentra DSPM extends protection to LLM applications, to maintain a strong risk posture as developers build new GenAI applications. It considers LLMs as part of the data attack surface, applying the same data discovery/classification, posture management, access governance, and threat monitoring capabilities to any training data leveraged within these applications. Classify, test and verify that models do not leak sensitive information.
Agentless discovery and novel scanning technology covers your entire data pipeline, classifying sensitive data to ensure that datasets are meticulously cleaned and compliant with data privacy standards. Sentra helps you establish an ethical AI system by verifying adherence to the NIST AI RMF and ISO/IEC 42001 frameworks. Prompt and output monitoring via Sentra DDR also alleviates any GenAI data privacy and integrity concerns and fosters trust in your AI initiatives.
Always Be “Audit Ready”
Navigating complex data privacy regulations to avoid hefty fines is overwhelming, but keeping up with moving cloud data can make compliance adherence a real challenge.
Sentra helps avoid security breaches by translating compliance requirements for GDPR, CCPA, HIPAA, PCI DSS, and dozens of frameworks into rules and policies allowing you to continually track the movement and access to sensitive data, ensuring it remains within compliance boundaries and safeguarding against potential violations. Maintain readiness for audits by automating compliance checks, managing activity logs, and regularly generating compliance reports. Having all your regulated data at your fingertips comes in handy to be ready and organized for those big audits ahead of time.
Proactively Manage Your Data Risks: Visualize and Monitor Your Data Estate with Sentra's Cloud-Native Data Security Platform
Security posture assessment
Identify sensitive data assets with a weak security posture, including public exposure, unencrypted data, compliance violations, unmanaged or un-backed up data, and much more. In addition to dozens of default policies, you can also create your own policies with granular data security controls that are infrastructure agnostic. Get a relative risk score to prioritize which vulnerabilities to address first.
Comprehensive asset coverage
Ensure no critical data is left undiscovered by cataloging tables and objects. Understand in detail your data’s usage, sensitivity, lineage, environment and data type (source code, structured DB table, web pages, unstructured files, etc.) with custom classifiers and sensitivity labels enabling precise classification and risk evaluation, threat prioritization, and remediation actioning.
Data movement detection
Detects when data is copied across cloud data stores, including when it’s processed by data pipelines, ETLs, database migrations, or backups. Define policies to alert when sensitive data is copied or moved between regions, environments, and accounts. Gain rich context and visualization to investigate data similarities and security drifts, such as excessive permissions, and bring together multiple data owners for easier remediation.
Control cloud spend
DSPMs need to work at huge scales - think petabytes, not terabytes - without breaking your cloud bill. Using smart metadata clustering, these scans can provide the total visibility security teams need at a fraction of the cost of scanning every bit of data in your cloud.
