Aeon AI Risk Management
Own your intelligence stack.
Aeon Private Stack serves professional services, wealth, engineering, research teams and IP-intensive firms. Open-weight models run on hardware you own, with quality and cost evaluated on your workflows and management by Aeon.
Questions this page answers
- Does a private stack prevent vendor training on our prompts?
- Local inference does not send prompts to a cloud model provider on that route. But a private deployment can still include external connectors, telemetry, backups, remote support or cloud fallback. We agree and test outbound-access and data-handling boundaries, document approved exceptions, and do not treat hardware ownership as a blanket confidentiality guarantee.
- What is private AI?
- Private AI means running AI models and workflows in an environment the organization controls, instead of sending sensitive context through default third-party cloud paths.
- Does Aeon Private Stack replace frontier APIs?
- Not always. Aeon Private Stack keeps durable workflows and sensitive context under client control while allowing governed cloud egress where a frontier model is genuinely needed for non-sensitive work.
Sovereign
Your models, your hardware, your server room. AI capability becomes an owned asset.
Frontier-grade through fusion
Leading open-weight models are orchestrated and benchmarked on your workflows.
Continuity by design
Keep a tested model version and runbook on your infrastructure. Reduce hosted-model dependency while planning for hardware, licensing, maintenance and updates.
Confidentiality you can examine
Agree and test controls for outbound traffic, model fallback, connectors, logs, backups and administrator access. Document exceptions and residual risks; hardware ownership is not a blanket guarantee.
CyberGuard security review
Every Private Stack deployment can include a CyberGuard security review of your AI applications and agents.