Swiftask connects ipdata.co to your business tools. Instantly analyze connection origins and block potential threats without manual intervention.
Result:
Dramatically reduce fraud rates while streamlining the experience for legitimate users.
AI Agents
ipdata.co
Connector ipdata.co · Secure OAuth 2.0
Faced with increasingly sophisticated attacks, manual transaction verification has become obsolete. Teams waste precious time analyzing logs, while fraudsters capitalize on processing delays.
Main negative impacts:
Slow risk analysis
Without automation, suspicious transactions are only identified after the fact, making refunds or cancellations costly and complex.
False positives impacting revenue
Rigid but manual security rules often block legitimate customers, causing an immediate loss of revenue.
High operational costs
Mobilizing human resources to validate every suspicious transaction is inefficient and unscalable for a growing business.
Swiftask orchestrates your data flows with ipdata.co to apply intelligent security policies. Each connection is analyzed in milliseconds for an automated decision.
BEFORE / AFTER
Manual risk analysis
A transaction arrives. The security team must manually extract the IP, check its origin, compare it against blacklists, and decide whether to block or authorize. Meanwhile, the fraudster has already succeeded.
Automation with Swiftask + ipdata.co
As soon as a connection is detected, Swiftask queries ipdata.co. If the IP originates from a VPN, a high-risk country, or a known proxy list, the AI agent blocks access or triggers an instant 2FA check.
1
STEP 1 : Configure your Swiftask agent
Define a security-focused agent in Swiftask that listens for connection or transaction events.
2
STEP 2 : Integrate ipdata.co API
Connect your ipdata.co credentials to Swiftask to enrich your connection data with geolocation and threat intelligence.
3
STEP 3 : Define your risk thresholds
Create logical rules: for example, block any IP identified as 'tor' or 'proxy' by ipdata.co.
4
STEP 4 : Automate the response
The agent executes the appropriate action: blocking, Slack alert for human review, or requesting additional verification.
Your agent cross-references ipdata.co data (location, IP type, reputation, ASN) with your application context to assess the overall risk score.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-ipdata.co@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.
Block fraudulent transactions before they are finalized, protecting your margins.
Handle thousands of requests per second without needing to increase your security team.
Rely on ipdata.co's trusted data to reduce false positives and avoid frustrating your real customers.
Maintain an immutable registry of all blocking decisions for your audit reports.
Adjust your filtering rules in a few clicks without touching your application's source code.
Swiftask applies enterprise-grade security standards for your ipdata.co automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Detection time | Several minutes (manual) | Under 200 ms (automated) |
| Filtering accuracy | Variable (human error) | High (ipdata.co data) |
| Team productivity | Focus on alert triaging | Focus on security strategy |
| Time to deploy | Weeks of development | Configuration in a few hours |
Dramatically reduce fraud rates while streamlining the experience for legitimate users.