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AI-powered Data Loss Prevention (DLP) for Atlassian Confluence

Automatically detect and secure secrets, credentials, PII, PHI, and PCI data anywhere in Confluence, with capabilities that protect your knowledge base.

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The Data Loss Prevention Challenges in Atlassian Confluence

Confluence serves as your organization's knowledge hub, but creates unique security risks that traditional solutions fail to address.

Embedded sensitive content

PII, PHI, PCI and credentials appear in pages, comments, and attachments across unlimited spaces, often hidden in tables, or embedded images that basic detection tools miss completely.

Intelligent, automated policy enforcement.

Content created for internal teams frequently contains sensitive information yet becomes accessible to contractors, vendors, and expanding employee groups through inherited permissions and space reorganization.

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Historical documentation liability

Years of accumulated documentation contains credentials, customer data, and proprietary information that remains searchable and accessible long after project completion or employee departures.

Key Benefits

AI-powered

Pre-trained LLM and Computer Vision models detect sensitive content with 95% precision - even within complex page layouts, tables, and embedded images where traditional DLP fails.

Ease of use

Direct API integration with Confluence Cloud - no agents or proxies. Simple, intuitive workflows without complex rules that slow down security teams and frustrate employees.

Comprehensive coverage

Monitor pages, comments, attachments, and templates across all spaces. Scan both real-time edits and historical content across 150+ file types including PDFs and diagrams.

Streamline Security Operations

Instantly restrict access, redact content, or archive pages containing violations. Create automated tickets for security review when critical data is exposed.

Human Firewall

Coach employees with immediate notifications via Slack, Teams, email or auto-create Jira tickets. Allow employees to provide business justification without disrupting productivity.

Case studies