Swiftask partners with DigitalOcean Gradient™ to provide highly secure serverless AI inference. Maintain full control over your sensitive data.
Result:
Leverage the power of the most advanced AI models without compromising the confidentiality of your critical information.
AI Agents
digitalocean gradient™ ai serverless inference
Connector digitalocean gradient™ ai serverless inference · Secure OAuth 2.0
Using public AI models often exposes your proprietary data to leaks or unauthorized usage. For enterprises, security and data sovereignty during inference have become non-negotiable imperatives.
Main negative impacts:
Sensitive data exposure
Sending customer or proprietary data to public APIs increases the attack surface and compliance risks.
Infrastructure complexity
Managing GPU servers yourself for private inference is costly and technically complex to maintain at scale.
Dependency on third-party models
Lack of control over the execution environment prevents strict governance and full visibility into processing.
The Swiftask and DigitalOcean Gradient™ integration provides an isolated serverless inference environment. Your data remains protected, processed in dedicated infrastructure, while benefiting from cloud scalability.
BEFORE / AFTER
Risks of unsecure inference
You use a generic AI API. Every request traverses shared servers, increasing the risk of exposing your business data. You have no guarantee on processing isolation or the future use of your prompts.
Private inference with Swiftask + DigitalOcean
Your requests are securely routed to your DigitalOcean Gradient™ instance. The serverless environment ensures strict isolation. Your data is processed privately, in accordance with your strictest security requirements.
1
STEP 1 : Configure your Gradient™ instance
Deploy your model on DigitalOcean Gradient™. You retain full control over model selection and environment configuration.
2
STEP 2 : Secure connection via Swiftask
Set up the connector in Swiftask using secure API keys. The link between Swiftask and your infrastructure is encrypted.
3
STEP 3 : Define processing policies
Set security rules in Swiftask: which data can be sent for inference and what are the purge rules.
4
STEP 4 : Execute isolated inferences
Run your requests via Swiftask. Inference runs in DigitalOcean's serverless infrastructure, ensuring confidentiality and performance.
The agent analyzes your latency and privacy needs. It orchestrates the call to the Gradient™ infrastructure while optimizing data flows.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-digitalocean-gradient™-ai-serverless-inference@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Total processing isolation within infrastructure dedicated to your needs.
Maintain full control over your data lifecycle to meet GDPR or industry standards.
Benefit from DigitalOcean GPU power without the operational burden of server management.
Switch models or settings without modifying your global software architecture.
Optimize your spend with DigitalOcean Gradient's usage-based billing model.
Swiftask applies enterprise-grade security standards for your digitalocean gradient™ ai serverless inference automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Confidentiality level | Shared (exposure risk) | Private (isolated infrastructure) |
| Operational management | Server maintenance (complex) | Serverless (zero maintenance) |
| Inference latency | Variable and unpredictable | Optimized and constant |
| Cost of ownership | High (dedicated servers) | Reduced (pay-as-you-go) |
Leverage the power of the most advanced AI models without compromising the confidentiality of your critical information.