Bedrock Data Extends DSPM to Atlassian Confluence, Tackling AI Inference Risks
Event summary
- Bedrock Data announced native support for Atlassian Confluence on January 28, 2026.
- The integration maps sensitive data flows into AI systems, addressing inference risks.
- New features include comprehensive discovery, permission resolution, and AI-driven classification.
- The tool requires only read-only access, minimizing operational risk.
The big picture
As AI adoption accelerates, enterprises face growing challenges in securing unstructured data within SaaS platforms like Confluence. Bedrock Data's integration addresses this gap by providing visibility into how sensitive information flows into AI systems, a critical need as organizations increasingly rely on retrieval-augmented generation (RAG) and other AI-driven analytics. This move underscores the strategic importance of DSPM in managing enterprise risk across cloud, SaaS, and AI environments.
What we're watching
- AI Governance
- How Bedrock Data's ability to map sensitive data to AI models will influence enterprise AI adoption and compliance.
- SaaS Security
- Whether the integration with Confluence can set a new standard for securing unstructured SaaS collaboration environments.
- Market Differentiation
- The pace at which competitors will respond with similar AI inference risk mapping capabilities.
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