Programmatic

Advanced DV360 Fraud Detection Techniques and Strategies for Programmatic Advertisers

October 25, 2026

Advanced DV360 Fraud Detection Techniques and Strategies

Step-by-Step Guide: Enhancing DV360 Fraud Detection

Configure Built-in Machine Learning (ML) Algorithms

Navigate to the Fraud Protection section in DV360.
Ensure that the Ad Server Fraud Detection feature is enabled.
Configure Threat Intelligence settings to incorporate external threat feeds such as those provided by the Threat Intelligence Partner Program. For example, integrate feeds from Trust & Safety, which offers a comprehensive suite of threat intelligence services.
Use the Threat Intelligence Dashboard to monitor and update threat feeds in real-time. For instance, the Dashboard can alert you to new threat types such as new malware or phishing campaigns, allowing you to quickly update your detection policies. Additionally, you can leverage the dashboard to identify trends and patterns in detected fraud, helping you to refine your detection rules and improve accuracy over time.
Set up Threat Intelligence Alerts to notify you of new threats in real-time. For example, when a new type of malware is detected, an alert will notify you, allowing you to update your detection policies and policies to ensure you are not missing any new types of fraudulent activity.

Integrate Third-Party Fraud Detection Tools

DoubleVerify: Use the DoubleVerify integration to extend DV360’s fraud detection capabilities.
Integrate DoubleVerify’s API to automatically identify and flag fraudulent activities. DoubleVerify’s API can integrate with DV360 to monitor and flag suspicious activities in real-time.
Utilize DoubleVerify’s Real-Time Alerts feature to stay updated on the latest fraud trends and tactics. For instance, DoubleVerify’s alerts can notify you of new fraud patterns such as ad ID duplication or creative file corruption, allowing you to quickly update your detection policies. Additionally, DoubleVerify’s alerts can be configured to send notifications directly to your email, providing timely and actionable information to address any emerging fraud threats.
DoubleVerify also offers Advanced Analytics tools that can provide deeper insights into the nature of the detected fraud, helping you to understand the types of attacks and how they are executed. For example, DoubleVerify’s analytics can reveal if the fraud is being committed by bots or by humans, allowing you to tailor your detection policies accordingly.
Pixiflux: Utilize Pixiflux’s tools to fine-tune and validate DV360’s detections.
Pixiflux’s Advanced Scoring Engine provides detailed insights into the likelihood of fraudulent activity. For example, Pixiflux’s Scoring Engine can analyze the behavior of a line item and provide a score indicating the likelihood of fraud, allowing you to prioritize which line items to review. The Scoring Engine can also identify potential anomalies or patterns that may indicate fraudulent activity, helping you to quickly update your detection policies.
Pixiflux’s Custom Reporting feature allows you to generate custom reports to track the effectiveness of your fraud detection efforts. For instance, Pixiflux’s reporting can generate a dashboard showing the number of false positives and false negatives, helping you to refine your detection policies. Additionally, Pixiflux’s reports can provide detailed insights into the effectiveness of your detection policies, allowing you to identify areas for improvement and ensure that your policies are continuously evolving to stay ahead of new fraud threats.
For example, a Pixiflux report might show that your current detection policies are incorrectly flagging a certain type of legitimate ad as fraudulent, which can help you to adjust your policies to avoid false positives and improve the overall accuracy of your fraud detection system.

Implement Manual Review Processes

For cases where automated detection fails, manually review suspicious activities. For example, if an ad ID is flagged as fraudulent by both DV360 and DoubleVerify, a manual review may be necessary to determine the actual cause of the fraud. Pixiflux’s Manual Review feature allows you to manually assess suspicious line items and add or remove fraud scores. For example, a Pixiflux reviewer may decide to remove the fraud score from a line item that is flagged as fraudulent by DV360 but is actually an issue with the ad delivery rather than fraud. Pixiflux’s Manual Review feature ensures that only valid and relevant fraud scores are retained, improving the accuracy of your detection policies.
Utilize DV360’s Custom Reviewer feature to flag and analyze suspicious line items. For example, a Custom Reviewer can review a line item flagged by the Custom Reviewer feature and flag it as fraudulent or mark it as legitimate, depending on the review findings. The Custom Reviewer feature also provides a scoring system that allows reviewers to rate the likelihood of fraud, helping you to identify and address unique or complex cases.
Utilize Custom Reviewer Workflows to streamline the review process and ensure consistency across reviewers. For example, a Custom Reviewer workflow can automate the process of flagging and analyzing suspicious line items, reducing the time and effort required to manually review each line item. Additionally, the workflow can ensure that reviewers follow a consistent and standardized process, reducing the risk of inconsistencies and improving the overall effectiveness of your fraud detection system.
For example, a Custom Reviewer workflow might include a scoring system that assigns a score to each flagged line item based on the severity of the fraud, allowing reviewers to prioritize their reviews and address the most significant issues first. This workflow can also include a scoring system that tracks the progress of each review, ensuring that reviewers are completing their work in a timely manner and reducing the risk of delays or missed reviews.

Monitor Log-Level Data

Access and analyze DV360’s Log-Level Data in the Ads Data Hub for immediate insights. For instance, you can use DV360’s Log-Level Data to identify suspicious ad IDs or line items that are being flagged by DV360’s detection algorithms. Pixiflux’s Log-Level Analysis feature can provide additional insights into the frequency and severity of detected fraud, helping you to identify trends and patterns that may indicate emerging fraud threats.
Set up Log-Level Filters to highlight specific events or fraud patterns such as ad ID fraud, IP address fraud, or creative file corruption. For example, you can set up a filter to highlight all ad IDs that are flagged as fraudulent by DV360’s detection algorithms. This filter can be used to quickly identify and address any emerging fraud threats, ensuring that your detection policies remain effective and up-to-date.
Use Log-Level Insights to identify and mitigate fraud trends before they cause significant financial loss. For instance, you can use DV360’s Log-Level Insights to identify a new fraud pattern and update your detection policies to address the issue. This can include adjusting the scoring system to better identify the specific type of fraud, or adjusting the detection rules to better identify the specific type of fraud.
Consider setting up Email Notifications for log-level alerts to keep you informed about potential fraud threats. For example, DV360 can send an email notification to your inbox when a suspicious line item is flagged by DV360’s detection algorithms, allowing you to quickly review and take appropriate action. Additionally, these notifications can include detailed information about the potential fraud threat, allowing you to quickly address the issue and prevent any potential financial loss.

Feature	DV360 Built-In	DoubleVerify Integration	Pixiflux Tools
Machine Learning	Yes	Yes	Yes
External Threat Feeds	Yes	Yes	Yes
Custom Reviewer	Yes	No	Yes
Real-Time Insights	Limited	Yes	Yes
Custom Filters	Limited	Yes	Yes
Ad-Perf Metrics	Limited	Yes	Yes
Log-Level Data Analysis	Limited	Yes	Yes

Frequently Asked Questions

Q: How do I resolve high DV360 log-level data alerts?

A: Review the alert details for specific ad IDs and line items. Use the Custom Reviewer feature to analyze and flag suspicious activities. Additionally, consult the Log-Level Dashboard for real-time insights and filters to help pinpoint the source of the alerts. For example, you can use DV360’s Log-Level Dashboard to filter out suspicious ad IDs and line items based on specific criteria such as ad ID fraud or IP address fraud.

Q: Why are my PMP deals not spending as expected?

A: Check for under-delivery issues. Use the Fix DV360 Programmatic Guaranteed Under-Delivery guide to troubleshoot and optimize your PMP deals. Ensure that your CTV frequency capping settings are correctly configured and reviewed. Use the Solve CTV Frequency Capping Duplication in DV360 guide for step-by-step instructions. For instance, you can use DV360’s CTV frequency capping settings to ensure that each user receives a certain number of ads within a specified period, reducing the risk of under-delivery.

Q: How can I ensure consistent CTV frequency capping across DV360 campaigns?

A: Ensure your CTV frequency capping settings are correctly configured in DV360. Use the Solve CTV Frequency Capping Duplication in DV360 guide for step-by-step instructions. Additionally, review the Fix DV360 Programmatic Guaranteed Deal Under-Pacing guide for detailed troubleshooting steps and optimizations to maintain consistent CTV frequency capping. For example, you can use DV360’s CTV frequency capping settings to ensure that each line item receives a certain number of impressions within a specified period, reducing the risk of under-delivery and pacing issues.

Q: What are the best practices for troubleshooting DV360 line item pacing issues?

A: Review the Fix DV360 Programmatic Guaranteed Deal Under-Pacing guide for detailed troubleshooting steps and optimizations. Ensure that your pacing settings are correctly configured in DV360. Use the Solve DV360 Line Item Pacing Issues guide for step-by-step instructions to troubleshoot and address any issues with line item pacing. This guide can help you identify and resolve any issues with the allocation of ad slots and the timing of ad delivery, ensuring that your campaigns are optimized for performance and effectiveness.

Q: How can I improve the accuracy of my detection policies?

Q: How can I improve the overall effectiveness of my fraud detection system?

A: Use Pixiflux’s Manual Review feature to ensure that only valid and relevant fraud scores are retained, improving the accuracy of your detection policies. Utilize the Custom Reviewer feature to streamline the review process and ensure consistency across reviewers. Use the Custom Filters feature to identify and address specific types of fraud, and consider using the Log-Level Analysis feature to identify and mitigate fraud trends before they cause significant financial loss. Additionally, use the Log-Level Data Analysis feature to identify and address any emerging fraud threats, and consider using the Email Notifications feature to keep you informed about potential fraud threats. Finally, use Pixiflux’s Log-Level Analysis feature to identify and address any issues with the allocation of ad slots and the timing of ad delivery, ensuring that your campaigns are optimized for performance and effectiveness. #### Q: How can I improve the accuracy of my detection policies?

Q: How can I improve the overall effectiveness of my fraud detection system?

A: Use Pixiflux’s Advanced Analytics tools to provide deeper insights into the nature of the detected fraud. Utilize the Log-Level Analysis feature to identify and mitigate fraud trends before they cause significant financial loss. Adjust your detection policies as needed based on the insights provided by these tools, and consider using the Manual Review feature to address any unique or complex cases that may not be adequately addressed by the automated detection systems. Additionally, use the Custom Filters feature to identify and address specific types of fraud, and consider using the Log-Level Data Analysis feature to identify and address any emerging fraud threats. Finally, use Pixiflux’s Log-Level Analysis feature to identify and address any issues with the allocation of ad slots and the timing of ad delivery, ensuring that your campaigns are optimized for performance and effectiveness. #### Q: How can I improve the overall effectiveness of my fraud detection system?

Advanced DV360 Fraud Detection Techniques and Strategies for Programmatic Advertisers