Swiftask partners with Langbase to protect your business data. Ensure strict isolation and total governance of your AI contexts.
Result:
Ensure the compliance of your AI exchanges while leveraging the power of your internal data.
AI Agents
langbase
Connector langbase · Secure OAuth 2.0
Using AI agents often requires injecting sensitive data. Without a robust management system, this information is exposed, poorly structured, or accessible by unauthorized actors, creating critical security vulnerabilities.
Main negative impacts:
Sensitive data exposure
Poorly protected contexts can be intercepted or used by third-party LLMs without explicit consent.
Governance fragmentation
Data scattered across multiple tools makes access control and compliance auditing almost impossible.
AI reliability degradation
Corrupted or outdated contextual data leads to major decision-making errors for your agents.
Swiftask centralizes your data management via Langbase, providing a contextual vault that isolates and secures every AI interaction.
BEFORE / AFTER
Standard contextual management
Data is sent raw to models. There is no control over retention, visibility is unclear, and every added source increases the risk of leakage.
Enhanced security with Langbase
Your data is processed via a secure abstraction layer. Langbase ensures versioning and encryption, while Swiftask orchestrates access based on your policies.
1
STEP 1 : Centralization in Langbase
Import and structure your reference data in a dedicated and secure Langbase environment.
2
STEP 2 : Swiftask integration
Connect your Swiftask instance to your Langbase project via encrypted API keys.
3
STEP 3 : Access definition
Configure permissions within Swiftask to restrict which data is accessible to which agents.
4
STEP 4 : Audit and monitoring
Enable full logging to track every request made to contextual data.
Granular control over the scope of data injected into prompts.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-langbase@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.
Drastic reduction in the risk of intellectual property leakage.
Meet security audits with total traceability of access.
A single interface to manage access rights across all your agents.
Experiment with new AI use cases without compromising your critical data.
Better managed contexts ensure more accurate AI responses.
Swiftask applies enterprise-grade security standards for your langbase automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Exposure surface | High (unisolated data) | Minimal (restricted access) |
| Audit response time | Several days | A few minutes |
| Access visibility | Limited | Full real-time |
| Access management | Manual/Complex | Automated/Granular |
Ensure the compliance of your AI exchanges while leveraging the power of your internal data.