Securiti Data Controls Cloud provides complete insight and control over data across IaaS, SaaS, data cloud platforms, and self-management systems. Data Controls Cloud is uniquely engineered to support massive data growth, leveraging a distributed cloud architecture. This architecture can scale on demand by gaining insight from metadata, while avoiding unnecessary data extraction and keeping data processing local. This approach reduces costs, improves performance and avoids data sovereignty restrictions. With Data Controls Cloud, organizations can strategically and proactively:

1. Obtain complete controls and intelligence around data across all cloud environments
2. Unify data control efforts around security, governance, privacy and compliance
3. Break silos of data intelligence and controls spread across disparate environments and data initiatives
4. Cover everywhere place it has sensitive data with 1000+ integrations across data systems

• ASSET AND DATA DISCOVERY: Find data assets and discover personal and sensitive data in structured and unstructured data systems, across on-premises and multi-cloud environments
• SENSITIVE DATA INTELLIGENCE: Understand where your sensitive data lives, what type of sensitivity it has and then classify that data in way that provides intelligence to your organization to reduce risk, minimize cost, and streamline data governance, security, privacy and compliance efforts
• DATA SECURITY POSTURE MANAGEMENT: Detect and prioritize remediation of data security issues by understanding the security posture of data assets across cloud data systems by leveraging granular data insights to assess risk and determine remediation of any misconfigurations.
• DATA ACCESS & INTELLIGENCE GOVERNANCE: Gain insight into who is accessing sensitive data, as well as the geographic region, specific system or regulations tied to that data and then automatically set up policies to control access to data based on the type, sensitivity, system, location or regulation.
• DATA FLOW INTELLIGENCE & GOVERNANCE: Manage sensitive data flow and manage risks of intended data sprawl through your streaming platforms by gaining real-time visibility and control through cloud streaming platforms such as Kafka and Amazon MSK.
• DATA CATALOG: Streamline data governance and security efforts with cataloging capabilities that simplify the process for users to find, understand, trust and access the data they need, as well as enable them to secure and govern the processes around their data.
• DATA LINEAGE: Enable data governance and adhere to various data privacy, security and compliance mandates with insight into data lineage by finding, understanding, and tracking the changes and transformations that sensitive data undergoes throughout its entire lifecycle
• DATA BREACH ANALYSIS: Simplify breach prevention and response with automated data breach analysis before or after an incident by providing clear insights into the data breach radius, its financial impact, and global regulatory obligations
• DATA PRIVACY AUTOMATION: Automate privacy requirements with AI-powered PrivacyOps that can manage user consent, build relationships of personal data to its unique identity, map data flow, reliably fulfill DSAR requests, and manage third party assessments.
• DATA CONSENT AUTOMATION: Achieve global compliance with cookie & first party consent management through AI-driven automation and orchestration