Platform
On-prem deepfake detection
Run ScamAI detection inside your own environment — VPC, private cloud, or fully on-premises — so regulated data never leaves your perimeter.
- Deploy in your VPC, private cloud, or air-gapped network
- Data residency and no third-party data sharing
- Same Eva V1.6 models and API, self-hosted
Detection where your data lives
For banks, government, and other regulated teams, media can't leave the building. On-prem deployment runs the same Eva V1.6 detection engine and API inside your environment, so results happen next to your data with no egress.
Built for compliance
Meet data-residency, sovereignty, and procurement requirements with a self-hosted install: your keys, your network, your audit trail. Halo already runs on-device; on-prem extends that privacy posture to the full platform.
Same platform, your perimeter
You get the same models, results, and integration surface as the cloud API, deployed to your infrastructure, updated on your schedule, and supported by our team.
What a self-hosted install actually looks like
On-prem is the same Eva V1.6 engine and REST API as the cloud, packaged as containers that run in your VPC or air-gapped network, so media never leaves your perimeter and a cloud integration ports with no code changes. The one difference is model updates, which you apply on your own schedule.
Due diligence for self-hosted detection
Judge self-hosted detection on how it handles isolation versus freshness: ask how often model updates ship, how they reach your environment, and what each upgrade asks of your team. Confirm the on-prem API is identical to the cloud one, and map the offering to your compliance requirements in writing.
/ROI
What this is worth
- One AI engine for every surface — add modules without adding vendors, contracts, or review queues.
- Evidence-backed results drop straight into your decisioning: auto-decline, step-up, or route to review.
- Live in a day: one REST API call in, a scored result out — no model training, no data-science team required.
Common questions
Can deepfake detection run fully on-premises?
Yes. ScamAI packages the same Eva V1.6 detection engine and REST API that power the cloud service for deployment inside your own environment — a VPC, a private cloud, or a fully air-gapped network. Your applications call a local endpoint with the same request and response shapes as the cloud API, and submitted media is scored entirely within your perimeter, with no egress. Results, evidence signals, and audit logs stay in infrastructure you operate, which satisfies data-residency and no-third-party-sharing requirements.
How do detection model updates work in air-gapped environments?
Through packaged releases delivered over your approved transfer channels, applied on your schedule under your change-management process. This matters more for detection than for ordinary software: coverage depends on retraining against new deepfake and forgery generators, so a model frozen at install time gradually loses ground. When evaluating any self-hosted detection product, ask about release cadence, delivery mechanics for isolated networks, and how much work each upgrade demands from your operations team.
When should we choose on-prem instead of the cloud API?
When data cannot leave your perimeter — data-residency laws, sovereignty mandates, sector regulation, or internal no-egress policy for sensitive media. If none of those apply, the cloud API is faster to adopt and carries no operational burden. A common middle path is hybrid: prove detection value with a cloud pilot on non-restricted traffic, then move regulated workloads on-prem once procurement and security review complete. Because the API surface is identical, migration does not require rebuilding the integration.
Talk to us about on-prem
15 minutes, on your own media. Pick a slot and leave with a result.