IN-SESSION AI ANALYSIS
Hoop applies AI analysis to live session content, classifying risk, detecting anomalies, and surfacing patterns that rule-based systems miss. Every query, every command, every response gets evaluated in context, not after the fact.
Individual queries pass every rule. Together, they extract your entire customer table. That requires session-level context to detect.
HOW IT WORKS
Hoop's AI analysis layer sits on top of the protocol parsing engine. It sees every command and response in the context of the full session, the user's history, and the organization's baseline behavior.
Every action gets a risk score based on command type, target sensitivity, user role, and session context. Not just what was run, but why it matters.
Flag unusual access times, query volumes, or resource targeting that deviate from your organization baseline.
Automatic summaries of what happened in each session: who did what, which resources were accessed, what data was returned.
Suggest guardrail rules based on observed patterns. "This team frequently runs bulk exports. Consider adding a masking rule."
CONTINUOUS IMPROVEMENT
Hoop learns access patterns, not your data. Fewer false positives, more accurate risk scoring, policies that match how your teams work.
ORGANIZATIONAL IMPACT
AI analysis runs on every session. The insights aggregate into organizational risk metrics your compliance and security teams can report on — across SOC 2, GDPR, PCI DSS, and HIPAA.