0
Controlled Data Leaks
Policy checks prevent controlled technical data from reaching model context or unauthorized workflow destinations.
Aerospace & Advanced Manufacturing
Aerospace teams are using AI across engineering changes, supplier reviews, quality records, MRO documentation, and controlled technical data. Iron Gorilla keeps every agent action inside export, quality, and approval boundaries before it enters the record.
ITAR and EAR-sensitive drawings, supplier data, and technical records are checked before model calls or workflow actions expose controlled context.
Agents cannot advance ECOs, configuration decisions, or quality dispositions outside the required board, role, and evidence path.
AI-assisted supplier reviews, maintenance records, and quality notes are sealed with the source evidence and policy checks that allowed them.
A useful agent can summarize a nonconformance, review a supplier packet, or draft an engineering change. The failure mode is when it exposes controlled data, skips a configuration gate, or leaves quality teams with an output that cannot be traced back to source evidence.
"If an AI-assisted decision enters the quality record, aerospace teams need to prove exactly how it got there."
AI agents are probabilistic by nature. Governance shouldn’t be. Iron Gorilla turns every uncertain agent action into a predictable, auditable outcome — one that your compliance team, your regulators, and your board can stand behind.
0
Controlled Data Leaks
Policy checks prevent controlled technical data from reaching model context or unauthorized workflow destinations.
100%
Traceable Decisions
Every agent-assisted engineering, supplier, quality, and MRO action is recorded with source evidence and approval state.
<5ms
Enforcement Latency
Export, quality, and approval checks run inline before the agent action reaches PLM, QMS, supplier, or maintenance workflows.
Aerospace agents operate across dense documentation and strict traceability requirements. Iron Gorilla monitors agent behavior over time, catching drift from summarization into unsupported decisions before it affects engineering, quality, or supplier records.
Protect controlled data, engineering changes, supplier reviews, quality records, and MRO workflows before agents act.
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