Bedrock Data Extends DSPM to Atlassian Confluence, Mapping SaaS Data to AI Inference Risk

Brings visibility into what sensitive data AI models can access and return within Atlassian Confluence

MENLO PARK, Calif.--(BUSINESS WIRE)--Bedrock Data, the modern DSPM platform provider for data-centric security, governance and management, today announced native support for Atlassian Confluence, bringing data security visibility into unstructured SaaS collaboration environments that increasingly serve as both repositories for sensitive enterprise information and inputs for AI systems. Rather than simply discovering what sensitive data exists in Confluence, the integration maps how that data flows into AI systems and what information models could potentially expose during inference.

Security teams face a new challenge as SaaS adoption continues to grow at the same time as AI adoption is accelerating: a lot of their most sensitive data now lives outside traditional databases, embedded in collaboration platforms like Confluence. When this unstructured data feeds AI systems, including retrieval-augmented generation (RAG) implementations using services like AWS Bedrock Knowledge Bases, organizations lose visibility into what information their AI models can access and surface. This leaves teams without a clear understanding of what sensitive data exists where, who can access it and how it is ultimately used.

“Confluence is one of the most requested SaaS data sources because, for many organizations, it holds vast amounts of internal knowledge, including trade secrets, intellectual property and customer information,” said Bruno Kurtic, co-founder, President, and CEO of Bedrock Data. “This content is increasingly used across analytics, collaboration and AI use cases including as a basis for RAGs. Organizations need to ensure it is properly classified, protected and compliant with internal governance standards and regulatory requirements, with clear visibility into how sensitive information is accessed and used.”

Understanding AI Inference Risk by Mapping Data to Models

While some security tools offer partial coverage of SaaS or AI training data, Bedrock Data connects SaaS discovery, sensitive data classification, and AI inference lineage in a single DSPM platform. What differentiates Bedrock Data’s approach is its ability to map sensitive data back to the AI models using it for inference, allowing security teams to understand not just where sensitive data lives, but what an AI model could potentially surface in response to a query and whether that data could be exposed to an unauthorized user.

The new integration delivers:

• Comprehensive Confluence Discovery: Automatically discovers all Confluence spaces and maps content across folders, pages, live pages and blogs Complex.
• Permission Resolution: Analyzes permissions at every level and resolves inherited and indirect access paths, revealing effective access often obscured by space-level or parent-object permissions.
• AI-Driven Classification: Scans unstructured text to identify PII, secrets and intellectual property, indexing all metadata in the Bedrock Metadata Lake
• Unified Risk Querying: Security teams can query Confluence risk alongside other SaaS, cloud and AI data sources through a single platform
• Least-Privilege Security Model: Requires only a read-only, fine-grained Atlassian access token, ensuring discovery and analysis without introducing write permissions or operational risk.

The Bedrock Data integration automatically discovers all Confluence spaces and maps content across folders, pages, live pages and blogs, analyzing permissions at every level and resolving complex inherited and indirect access paths. It reveals effective access that is often obscured by space-level or parent-object permissions.

With native Confluence support, Bedrock Data continues to expand DSPM beyond traditional data stores into the SaaS tools and AI workflows where enterprise risk increasingly resides, helping security teams close visibility gaps before they result in data exposure.

Availability

Bedrock Data’s Confluence integration is available immediately for Bedrock Data customers.

Resources

• Read the blog post on the Bedrock Data integration with Confluence
• Request a Bedrock Data platform demo
• Follow Bedrock Data on LinkedIn, X and Bluesky

About Bedrock Data

Bedrock Data delivers continuous, context-driven security and governance for enterprise data across private cloud, IaaS, PaaS, SaaS and AI environments. Powered by its patented Metadata Lake and Serverless Outpost architecture, Bedrock Data autonomously discovers, classifies and contextualizes data in place without moving it outside customer boundaries. Its open, API-first design integrates with existing platforms and enables natural-language policy enforcement, AI governance and automated remediation at enterprise scale. Global leaders in technology, finance, healthcare and biotech rely on Bedrock Data to make data security operational. Learn more at bedrockdata.ai.