Bedrock Data, a modern DSPM platform provider for data-centric security, governance, and management, announced native support for Atlassian Confluence to bring 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, the company said.
“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.”
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, the company said.
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 AIworkflows where enterprise risk increasingly resides, helping security teams close visibility gaps before they result in data exposure, the company said.
Bedrock Data’s Confluence integration is available immediately for Bedrock Data customers.
For more information about this news, visit bedrockdata.ai.