Provides a Data Security Posture Management (DSPM) platform that continuously discovers, classifies, and monitors sensitive data across cloud, SaaS, PaaS, and on-premises environments. It identifies and prioritizes data access risks, enables real-time remediation, and supports compliance by generating detailed risk assessments and actionable security insights.
Funding
$26.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations struggle to maintain visibility and control over sensitive data spread across diverse cloud, SaaS, PaaS, and on-premises environments. This data sprawl increases the risk of unauthorized access, data breaches, and compliance violations. Traditional security tools often lack the context and automation needed to effectively manage data security posture in these complex environments.
Solution
Proofpoint Data Security Posture Management (DSPM) provides a data-centric approach to security, continuously discovering, classifying, and monitoring sensitive data across hybrid and multi-cloud environments. The platform uses an agentless, machine-learning-powered scanning engine to identify data stores, assess access risks, and detect excessive permissions. By correlating insights into data, access, and risk, Proofpoint DSPM enables data and security teams to prioritize remediation efforts, enforce data governance policies, and prevent data leakage in real-time. The solution integrates with existing security workflows and provides actionable insights to reduce human-centric risks and improve overall data security posture.
Target Audience
The primary target audience includes security and data teams in enterprises that need to secure sensitive data across complex, hybrid, and multi-cloud environments, and comply with data protection regulations.
Features
- Automated data discovery and classification across cloud, SaaS, PaaS, and on-premises environments
- AI-driven risk prioritization based on data sensitivity, access patterns, and potential vulnerabilities
- Real-time monitoring of data access and usage to detect anomalous behavior and potential threats
- Out-of-the-box integration with existing security tools and workflows for streamlined remediation
- Role-based access control and least-privilege enforcement to minimize the attack surface
- Comprehensive compliance reporting and auditing capabilities to meet regulatory requirements
- Agentless architecture for rapid deployment and minimal operational overhead
- Data lineage tracking to understand the flow of sensitive data across the organization