Getting Started with the AI Findings Table Assistant Erin Conry The AI Findings Table Assistant is designed to streamline how you interact with findings data. Built directly into the findings table experience, the Assistant helps you move from data review to action more efficiently.Please note: This feature is exclusively available for Security Posture Management (SPM) users.Key CapabilitiesThe AI Assistant helps you maximize the value of your findings data through the following capabilities:Data Interpretation & Insights Generate insights: Converts raw findings data into summaries that are clear and easy to understand. Pattern and risk detection: Pinpoints essential trends and potential risks within findings tables. Surface critical details: Highlights key information to ensure it receives necessary user attention and follow-up. Content & Workflow Optimization Interprets findings for users by converting table data into straightforward, plain-language explanations. Provides actionable next steps based on the available findings. Enhances clarity by refining the consistency, structure, and wording of findings. Minimizes manual review tasks by quickly surfacing the most relevant information. How it WorksThe AI Findings Table Assistant is built to support your workflow, not replace it. Analyze: By working within the context of your findings table, the AI evaluates your data directly. Suggest: The system generates intelligent recommendations for your review. Review & Decide: Refine your results using table filters. How to Use the AI Assistant Navigate to the SPM Findings Table. Select the AI Assistant icon with the Findings table header. This will open the “Ask Bitsight AI” chat interface. Ask anything in the free text field or choose a standard prompt, such as “Summarize my Bad and Warn findings.” Evaluate the AI-generated results in the side panel to incorporate them into your workflow as needed. Not interested in using any AI feature? Please open a support ticket. Related articles New AI Findings Table Assistant (SPM Only) - July 1, 2026 Jira Integration What is a Finding Lifetime? Patching Cadence Risk Vector: Core Overview Action Plans: Subsidiary Improvement Feedback 0 comments Please sign in to leave a comment.