Conversational Follow-up
The GitHub App audit report has no saved analysis or follow-up chat. This page describes the saved analysis flow.
How to use it
The Flare Intelligence panel appears on the right side of any analysis results page. Type a question in the input field and press Enter or click Send. Flare includes up to 20 saved messages as conversation context, so you can ask follow-up questions that build on previous answers. Restate important details when a longer conversation moves beyond that context.Good questions to ask
Understanding findings
- “Why is SetIamPolicy anomalous?”
- “What does a spike in PERMISSION_DENIED errors mean?”
- “Is this service account supposed to be accessing this resource?”
- “What’s the difference between the baseline and query frequency?”
Prioritizing response
- “What should I investigate first?”
- “Which of these findings is the most urgent?”
- “Is this a known attack pattern?”
- “Could this be a false positive?”
Taking action
- “What are the remediation steps?”
- “What GCP or AWS commands should I run to investigate this?”
- “Which CloudTrail fields should I verify in AWS?”
- “How do I revoke this service account key?”
- “What should I tell my team about this?”
Getting context
- “Can you summarize the attack timeline?”
- “What other indicators should I check?”
- “How does this compare to normal activity?”
- “What would this look like if it were legitimate?”
Quick reply chips
After each Flare response, you’ll see suggested follow-up questions as clickable chips. These are contextual - they change based on what anomalies were found and what you’ve already discussed. Common chips include:- “What are the remediation steps?”
- “How urgent is this?”
- “Can you elaborate?”
- “What other indicators should I check?”
Tips
- Be specific. “Why is finding #3 anomalous?” gets a better answer than “explain the results.”
- Ask about actions. Flare can suggest provider-specific GCP or AWS commands, investigation steps, and remediation procedures.
- Use it for reporting. Ask Flare to summarize findings for a non-technical audience, or to draft an incident report.
- Conversation persists. Your chat history is saved with the analysis - come back later and pick up where you left off.