# DoControl > Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04. - **Business Profile:** https://optimly.ai/brand/docontrol - **Dataset:** https://optimly.ai/brand/docontrol.json - **Markdown:** https://optimly.ai/brand/docontrol/llms.txt - **Official website:** https://docontrol.io - **Slug:** docontrol - **Categories:** cybersecurity ## Overview - **Tagline:** AI-driven contextual data protection, intelligent identity and behavioral risk protection, scalable and automated historical and ongoing remediation, and policy enforcement tailored for the dynamic nature of AI-accelerated SaaS collaboration, going beyond rigid, static content scanning of legacy DLP. Source: Brand's website (https://docontrol.io) · 2026-10-04 - **Description:** DoControl provides an AI-driven SaaS data security platform that offers visibility, precise risk detection, and scalable remediation for data sharing and access within cloud-native environments like Google Workspace and M365. It addresses the challenges posed by AI-accelerated collaboration, data leakage, and the limitations of legacy DLP solutions. Source: Brand's website (https://docontrol.io) · 2026-10-04 ## Offerings - **Core capabilities:** - AI-driven SaaS data security platform offering Data Discovery - Data Loss Prevention (DLP) - Identity Risk Management - Shadow Apps & AI discovery/remediation - and Misconfiguration management for cloud-native collaboration platforms. Source: Brand's website (https://docontrol.io) · 2026-10-04 - **Pricing:** Offers a free SaaS risk assessment, suggesting a trial-based or freemium model leading to enterprise subscriptions. Source: Brand's website (https://docontrol.io) · 2026-10-04 ## Audience - **Target industry:** Organizations utilizing cloud-native platforms like Google Workspace and M365, particularly those struggling with data leakage, oversharing, unauthorized access (by humans and AI agents), and the limitations of traditional DLP solutions in modern, AI-accelerated collaboration environments. Source: Brand's website (https://docontrol.io) · 2026-10-04 Page last updated 2026-10-17.