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Strengthen your contextual data security with Langbase

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.

Risks of unprotected contextual data

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  • AI reliability degradation: Corrupted or outdated contextual data leads to major decision-making errors for your agents.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

What changes with Swiftask

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.

Deploy contextual protection in 4 steps

STEP 1 : Centralization in Langbase

Import and structure your reference data in a dedicated and secure Langbase environment.

STEP 2 : Swiftask integration

Connect your Swiftask instance to your Langbase project via encrypted API keys.

STEP 3 : Access definition

Configure permissions within Swiftask to restrict which data is accessible to which agents.

STEP 4 : Audit and monitoring

Enable full logging to track every request made to contextual data.

Advanced security features

Granular control over the scope of data injected into prompts.

  • Target connector: The agent performs the right actions in langbase based on event context.
  • Automated actions: Encryption at rest, workspace isolation, context version management, and automated deletion of outdated data.
  • Native governance: Compliance is at the heart of the integration to meet GDPR/SOC2 requirements.

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.

Strategic benefits for your company

1. Enhanced protection

Drastic reduction in the risk of intellectual property leakage.

2. Simplified compliance

Meet security audits with total traceability of access.

3. Unified control

A single interface to manage access rights across all your agents.

4. Risk-free agility

Experiment with new AI use cases without compromising your critical data.

5. Data quality

Better managed contexts ensure more accurate AI responses.

Security Commitment

Swiftask applies enterprise-grade security standards for your langbase automations.

  • End-to-end encryption: All data transiting between Langbase and Swiftask is encrypted.
  • Environment isolation: Your production data is strictly separated from test environments.
  • Strong authentication: Support for SSO and Role-Based Access Control (RBAC).
  • Continuous auditing: Immutable logs of all contextual data transactions.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your security posture

MetricBeforeAfter
Exposure surfaceHigh (unisolated data)Minimal (restricted access)
Audit response timeSeveral daysA few minutes
Access visibilityLimitedFull real-time
Access managementManual/ComplexAutomated/Granular

Take action with langbase

Ensure the compliance of your AI exchanges while leveraging the power of your internal data.

Build dynamic data pipelines with Swiftask and Langbase

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