Innovate with confidence

Autonomous Data Governance

for your Snowflake Data Cloud

Data Intelligence

Understanding sensitive data in Snowflake across both cloud and self-managed systems is essential for effective data management and security.

Security

Ensuring data integrity through strong encryption and proactive measures, fortifying security to thwart potential threats and breaches effectively.

Privacy

Emphasizing data privacy with strict policies and encryption, ensuring secure and confidential information handling is given top priority within the organization.

Governance & Compliance

Data governance safeguards organizational integrity by ensuring compliance, maintaining quality, and enhancing security measures, ensuring steadfast adherence to established standards.

Sensitive Data Intelligence

Data Discovery
Sensitive Data Catalog
People Data Graph
Data Risk Graph

Data Discovery

Data Discovery Clasification & Labelling

Exploration, classification, and labeling of data for effective discovery, ensuring a systematic approach to identifying and organizing information based on its nature and relevance, promoting enhanced data management practices within the organization. Advanced Discovery Algorithms,Automated Classification Processes,Robust Data Labeling Capabilities , Seamless Integration with Diverse Data Sources, User-Friendly Interface for Enhanced Accessibility

Sensitive Data Catalog

A Sensitive Data Catalog plays a pivotal role in the identification, management, and safeguarding of confidential information within an organization. Employing advanced metadata tracking and robust access controls, it not only ensures compliance but also minimizes risks, fostering comprehensive data governance. The critical elements integral to deep data discovery include advanced analytics, data profiling, unstructured data exploration, automated data classification, cross-platform integration, discovery of relationships, real-time analysis, and dedicated data governance and compliance measures. Together, these elements form a cohesive framework, optimizing data management and security.

People Data Graph

Leveraging AI, the People Data Graph constructs a dynamic relationship map connecting identified personal data with respective owners. This innovative tool facilitates prompt and precise handling of Data Subject Requests (DSRs), streamlines breach notification and response procedures, and enhances the generation of consent reports. The People Data Graph serves as a robust solution, ensuring efficient navigation through intricate connections within personal data, ultimately contributing to enhanced data governance and compliance.

Data Risk Graph

Tailor and refine your data risk posture by considering factors such as sensitivity, location, user residencies, cross-border transfers, and data density. Analyze and compare data risks over time and across various assets, locations, and owners. This comprehensive approach allows for the identification of data risk hotspots, enabling informed decision-making and prioritization of necessary remediation measures to fortify overall data security and compliance.

Security

Monitor Data Risk
Security Posture
Data Access
Security Issues

Monitor Data Risk

Monitor Data Risks

Implement a robust monitoring system to consistently unveil concealed data risks. By maintaining a vigilant approach, you can proactively identify and address hidden vulnerabilities within your data landscape, ensuring a resilient and secure environment. Continuous surveillance for hidden risks. Unveil concealed vulnerabilities proactively. Persistent monitoring reveals data threats. Discover and mitigate unseen risks. Keep a vigilant eye on hidden data vulnerabilities.

Security Posture

Remediate Security Posture

Implement a robust monitoring system to consistently unveil concealed data risks. By maintaining a vigilant approach, you can proactively identify and address hidden vulnerabilities within your data landscape, ensuring a resilient and secure environment.Continuous surveillance for hidden risks. Unveil concealed vulnerabilities proactively.Persistent monitoring reveals data threats.Discover and mitigate unseen risks.Keep a vigilant eye on hidden data vulnerabilities.

Data Access

Govern Sensitive Data Access

Administer access to sensitive data by scrutinizing specific users/groups in Snowflake. Refine access policies to curtail broad permissions, preventing exposure to unauthorized users. This diligent review and adjustment process ensures a secure and controlled environment for sensitive data management. Scrutinize users in Snowflake. Refine policies for secure access. Curtail broad permissions effectively. Prevent exposure to unauthorized users. Ensure controlled environment for management.

Security Issues

Investigate Security Issues

Delve into issues by thoroughly searching and filtering through all data security alerts. Prioritize remediation efforts and streamline investigations to effectively address identified issues, ensuring a prompt and targeted response to potential threats or vulnerabilities. Regularly scan and optimize security.Conduct continuous audits for IAM. Address misconfigurations with remediation.Preemptively tackle potential vulnerabilities. Safeguard Snowflake account from exploitation.

Privacy

Data Mapping Automation
Remediate Security Posture
Consent Automation
Data Incident Management

Data Mapping Automation

Current Processing Documentation

Maintain current Processing Records using Snowflake for dynamic RoPA and Article 30 reports. Automatically initiate PIA/DPIA assessments for sensitive data changes, centrally monitor flagged risks in a risk register for efficient reporting, and streamline resolution processes.

Remediate Security Posture

Implement a robust monitoring system to consistently unveil concealed data risks. By maintaining a vigilant approach, you can proactively identify and address hidden vulnerabilities within your data landscape, ensuring a resilient and secure environment.Continuous surveillance for hidden risks. Unveil concealed vulnerabilities proactively.Persistent monitoring reveals data threats.Discover and mitigate unseen risks.Keep a vigilant eye on hidden data vulnerabilities.

Consent Automation

Automated Management of User Consent

Automatically secure and respect user consent by capturing and adhering to individual preferences. Utilize data that adheres to universally accepted consent standards, ensuring a compliant and user-centric approach to data handling. This streamlined process prioritizes privacy and aligns with global consent frameworks, fostering transparency and trust in data management practices.

Data Incident Management

Efficient Handling of Security Breach Notifications

Rapidly identify affected users and compromised data within your Snowflake instance. Leverage integrated privacy research capabilities to promptly notify necessary regulators and users within hours of a breach, ensuring compliance with global regulations. This swift response mechanism enhances data security and regulatory adherence, demonstrating a commitment to proactive and transparent breach management.

Compliance

Continuously track alterations and deviations in data, security configurations, and access protocols for automated remediation. Align up-to-date security controls with diverse compliance standards like ISO, NIST, PCI, HIPAA, GLBA, GDPR, ensuring perpetual compliance. This proactive approach guarantees that security measures remain current, reflecting a commitment to robust data protection and adherence to industry-specific regulations.

Data Security Regulations

Data Privacy Regulations

“Eager to announce our partnership with Bandiz, utilizing their cutting-edge solution for robust intelligence, protection, and privacy controls over sensitive data. The seamless integration with Snowflake not only fosters innovation momentum but also enables our customers and developers to effectively fulfill crucial data obligations. This collaboration signifies a commitment to advancing data security and compliance standards.”