Ai Incident resolution and analysis, Super Intelligence agents working together.
AI Runtime Protection
Prompt Injection Defense for untrusted AI inputs
ModelGlue treats external source content as data rather than authority. On supported integrations, the local Input Firewall scans uploaded documents, OCR, fetched pages, retrieval results, connectors and user input before model context assembly, then applies source isolation and tool-action authorization boundaries when suspicious instructions are detected.
Neutralize the instruction without losing the evidence
A suspicious document or webpage does not always need to be discarded. Protect mode can keep useful factual content available for analysis while embedded instructions remain non-authoritative; higher-risk material can be quarantined from model context.
Keep source text away from privileged actions
External content cannot grant itself permission to invoke protected tools, change account controls, expose secrets, persist instructions into memory, or take consequential actions. Those permissions remain tied to authenticated user and system policy.
Turn detections into reliability intelligence
Subscribers can see Prompt Injection Defense status inside Incident Intelligence and combine source-safety controls with incident patterns, model/version signals, remediation learning and replay testing. Raw source instructions and private prompts are not exposed in the subscriber terminal.