DoControl provides AI-driven SaaS Data Loss Prevention (DLP) to govern data access across various SaaS applications. The platform offers instant data discovery, identity threat detection, and automated workflow remediation for security policy enforcement. This service helps organizations manage SaaS misconfigurations and mitigate insider risks at scale.
Funding
$42.6M 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 face challenges in managing and securing data within SaaS applications due to a lack of visibility and control over data access, usage, and sharing. This can lead to data breaches, insider threats, and compliance violations. Existing security tools often lack the context and granularity needed to effectively address these risks without impacting employee productivity.
Solution
DoControl provides a SaaS Security Posture Management (SSPM) platform that delivers complete visibility, threat detection, and automated remediation for sensitive data exposure and insider threats across major SaaS ecosystems. The platform integrates with core SaaS applications via APIs to build an instant inventory of assets, users, and third-party OAuth apps. It uses machine learning to classify data sensitivity and map exposure levels, enabling organizations to prioritize risks. DoControl's automated workflows enforce granular security controls, while its end-user engagement features educate employees and empower them to remediate risky actions, reducing data exposure over time.
Target Audience
The primary target audience includes security teams and IT professionals responsible for managing and securing data within SaaS environments, particularly those using Google Workspace, Microsoft 365, Salesforce, Slack, Box, and Zoom.
Features
- Instant data discovery and inventory of SaaS assets, users, groups, and third-party OAuth apps
- Machine learning-based data classification and exposure mapping to prioritize risks
- Real-time threat detection and alerts for anomalous user activity and data exposure
- Automated remediation workflows for granular policy enforcement across applications
- End-user engagement via Slack/Teams bots to educate employees and enable self-remediation
- Integration with IdP, HRIS, and EDR systems to enrich threat detection with business context
- Bulk remediation actions to remove historical data exposure at scale
- Shadow app discovery and remediation to identify and manage over-permissioned third-party apps
- Real-time scanning of sensitive data types using NLP, custom keywords, and RegEx