Pricing

Secure exchanges: protect your data with Sendbird and Swiftask

Integrate a Swiftask AI agent into your Sendbird infrastructure. Deliver seamless conversational experiences while guaranteeing bank-grade security.

Result:

Build user trust by securing every interaction, without compromising on performance.

The privacy challenge in AI chatbots

Implementing an AI chatbot often exposes companies to data leak risks. Without a robust architecture, exchanges can be intercepted or mismanaged.

Main negative impacts:

Data breach risks: Unsecured infrastructure can expose sensitive customer information to public LLMs without proper filtering.
Regulatory non-compliance: Failure to meet GDPR or SOC2 standards during AI exchanges can lead to heavy fines and reputation loss.
Loss of customer trust: If your users doubt the security of their interactions, they will limit engagement, reducing the efficiency of your customer service.

The Swiftask + Sendbird integration creates a security middleware layer. Your data is processed via encrypted channels, ensuring total privacy on every message.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

The chatbot sends raw data to third-party APIs without anonymization. Logs are stored in plain text, making security audits impossible and data vulnerable.

With Swiftask + Sendbird

Swiftask acts as a security filter. Sensitive information is anonymized before any AI processing, and exchanges are encrypted according to industry standards.

Deploy your secure exchanges in 4 steps

STEP 1 : Encrypted tunnel configuration

Enable the secure connection between Swiftask and your Sendbird instance via restricted API keys.

STEP 2 : Privacy rule definition

Configure anonymization filters to automatically mask personally identifiable information (PII) in messages.

STEP 3 : Sovereign AI integration

Connect your AI models to process requests without ever exposing raw data to public training servers.

STEP 4 : Continuous audit and monitoring

Use the Swiftask dashboard to monitor compliance and generate secure activity reports.

Advanced security features

Swiftask analyzes Sendbird message content in real-time to detect and block potential data leaks.

Target connector: The agent performs the right actions in sendbird ai chabot based on event context.
Automated actions: Automatic PII anonymization. End-to-end TLS 1.3 encryption. Log retention compliant with corporate policies. Multi-factor authentication for agents.
Native governance: Every exchange is tracked in an immutable audit log, facilitating internal and external controls.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-sendbird-ai-chabot@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.

Benefits for your compliance

1. Full GDPR compliance

Master the customer data lifecycle, from storage to automatic deletion.

2. Protection against prompt injection

Our filters prevent malicious users from manipulating your AI chatbot's behavior.

3. Data sovereignty

You maintain total control over the data flowing between Sendbird and AI services.

4. Seamless integration

Add security without impacting user experience or response latency.

5. Reduced IT risk

Decrease the attack surface of your customer messaging infrastructure.

Certified security architecture

Swiftask applies enterprise-grade security standards for your sendbird ai chabot automations.

Environment isolation: Each Swiftask instance is isolated to prevent inter-client data leakage.
At-rest and in-transit encryption: All data is encrypted using AES-256 standards.
Granular access management: Precisely control who accesses conversation logs within Sendbird.
Continuous audit: Regular penetration testing ensures the resilience of your connector.

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

RESULTS

Security and compliance performance

Metric	Before	After
PII filtering time	N/A (risk present)	< 50ms (real-time)
Exchange encryption	Partial / Standard	End-to-end (TLS 1.3)
Log visibility	Dispersed fragments	Centralized and auditable
Standard compliance	At risk	GDPR/SOC2 certified

Take action with sendbird ai chabot

Build user trust by securing every interaction, without compromising on performance.