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Master compliance and filtering for your Azure OpenAI interactions

Swiftask adds an essential control layer to Azure OpenAI. Filter sensitive content, ensure compliance, and secure your enterprise AI usage.

Result:

Deploy generative AI with confidence, backed by strict and automated governance.

The risks of uncontrolled AI usage

Integrating Azure OpenAI without filtering mechanisms exposes your enterprise to sensitive data leaks, generation of inappropriate content, or regulatory non-compliance risks.

Main negative impacts:

  • Data leak risk: Sensitive information can be included in prompts or responses without prior control, compromising your intellectual property.
  • Non-compliant content generation: Lack of filtering can lead to the production of biased, toxic, or internally prohibited content.
  • Lack of governance: Without visibility into interactions, auditing exchanges and ensuring compliance with industry standards is impossible.

Swiftask acts as a secure gateway between your users and Azure OpenAI, applying strict filtering and compliance rules before every interaction.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

Users access Azure OpenAI directly. No verification is performed on data sent or received. Compliance risks are unchecked, and auditing is nearly impossible.

With Swiftask + Azure OpenAI

Every request is analyzed in real-time. Sensitive data is masked, inappropriate content is blocked, and every interaction is logged to guarantee full compliance.

Setting up your filtering policy in 4 steps

STEP 1 : Define your compliance rules

Configure in Swiftask the types of data to filter (PII, banned terms, sensitive topics) for your Azure OpenAI agents.

STEP 2 : Connect Swiftask to your Azure OpenAI instance

Securely integrate your Azure OpenAI API keys into Swiftask to enable centralized control.

STEP 3 : Activate the filtering engine

Apply filters on both input and output requests to ensure exchange security.

STEP 4 : Audit and adjust

Review access and filtering logs in your Swiftask dashboard to refine your governance rules.

Advanced control features

The Swiftask engine semantically analyzes every prompt and response to detect risks in real-time.

  • Target connector: The agent performs the right actions in azure openai based on event context.
  • Automated actions: Automatic masking of Personal Identifiable Information (PII). Filtering of keywords and prohibited topics. Sentiment and toxicity analysis. Comprehensive logging for audit. Immediate blocking of non-compliant requests.
  • Native governance: All these actions are transparent to the end-user while ensuring organizational security.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-azure-openai@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.

Why choose Swiftask for compliance

1. Data security

Protect your confidential information against accidental exposure via AI.

2. Regulatory compliance

Meet requirements (GDPR, SOC2) with full traceability of exchanges.

3. Risk reduction

Prevent the generation of toxic or inappropriate content by your AI agents.

4. Centralized governance

Manage your security policies for all agents from a single interface.

5. Rapid deployment

Implement robust controls without technical complexity.

Security commitment

Swiftask applies enterprise-grade security standards for your azure openai automations.

  • Data encryption: All data processed by Swiftask is encrypted at rest and in transit.
  • Privacy compliance: Swiftask does not retain your training data, only the logs necessary for auditing.
  • Isolated infrastructure: Your Azure OpenAI instances remain isolated and protected by your cloud security policies.

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

RESULTS

Impact on your security

MetricBeforeAfter
Data exposure riskHighNone (automated filtering)
Visibility on exchangesPartialTotal (Audit trail)
Compliance timeManual (slow)Automated (instant)

Take action with azure openai

Deploy generative AI with confidence, backed by strict and automated governance.

Instant technical translation with Azure OpenAI

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