Answer
Is generative AI secure enough for government use?
Short answer
Yes - when it's built for it. Generative AI can meet public-sector security and compliance requirements when it's deployed with private data handling, retrieval-augmented generation over your own governed sources, human-in-the-loop review, and controls aligned to the NIST AI Risk Management Framework. ALINEDS designs secure, compliant AI for government, so agencies gain the benefits of generative AI without exposing sensitive data or losing oversight.
Public agencies see the promise of generative AI - faster citizen service, less manual paperwork, quicker access to information - but off-the-shelf public chatbots raise real concerns: sensitive data leaving your control, 'hallucinated' answers with no source, and no audit trail for compliance. Secure public-sector AI solves these by design.
Four things make generative AI safe for government: private, governed data that is never used to train public models; retrieval-augmented generation (RAG) that answers only from your approved, authoritative sources, with citations; human-in-the-loop review for anything consequential; and controls aligned to the NIST AI Risk Management Framework for governance, transparency, and accountability.
ALINEDS builds AI this way for public agencies. Its in-production system, Hermes, automates end-to-end RFP response using governed data and human oversight - proof that agencies can capture the efficiency of generative AI while keeping sensitive information protected and decisions accountable.