Tarification

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.

Resultat:

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.

Les principaux impacts négatifs :

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.

AVANT / APRÈS

Ce qui change avec 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

ÉTAPE 1 : Define your compliance rules

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

ÉTAPE 2 : Connect Swiftask to your Azure OpenAI instance

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

ÉTAPE 3 : Activate the filtering engine

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

ÉTAPE 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.

Connecteur cible : L'agent exécute les bonnes actions dans azure openai selon le contexte de l'événement.
Actions automatisées : 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.
Gouvernance native : All these actions are transparent to the end-user while ensuring organizational security.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-azure-openai@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

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 applique des standards de sécurité enterprise pour vos automatisations azure openai.

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.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Impact on your security

Métrique	Avant	Après
Data exposure risk	High	None (automated filtering)
Visibility on exchanges	Partial	Total (Audit trail)
Compliance time	Manual (slow)	Automated (instant)

Passez à l'action avec azure openai

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

Traduisez vos contenus techniques instantanément avec Azure OpenAI

Cas d'usage suivant.