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The Boltive AI Engine provides Privacy Guard customers with advanced tools to add context and clarity to your website and digital ad campaigns. Detect issues with your consent management platform (CMP), identify new tags and cookies, and inspect digital ads effortlessly. Save time by automating tedious manual QA and research tasks, allowing you to focus on work that drives real value for your company and consumers.

Verify Objects

Are Tags and Cookies Properly Enabled or Suppressed as The Site Loads

Validate that vendors' on-page activity is working as expected to protect against violations of consumer opt-outs and data leakage while maximizing data collection when consent is given.

Privacy Guard UI in a tablet screen. This UI shows a dashboard with metrics focused on Digital Objects. A graph at the top showcases the error rate, while below a pie chart shows a breakdown of objects by type.

Verify Ads

Are Digital Ad Campaigns Passing Consent Signals Correctly

Ensure privacy signals are being passed with fidelity in digital ads – especially interest-based ads – and detect unauthorized data collection and data sharing in ad transactions.

Privacy Guard UI in a tablet screen. This screen shows the Ads Overview, which gives users key info about ads that Privacy Guard has captured. An ad asset viewer appears alongside trend data broken out by persona.

Privacy Guard for Mobile Apps

Ensure that iOS and Android apps provide a clear and user-friendly consent flow for consumers. Verify that data collection and sharing, including requested permissions, installed SDKs and libraries, and HTTP traffic, are operating correctly. This helps prevent consumer opt-out violations and data leaks while maximizing data collection where consent is given – all without requiring any integration.

Compliance

Ensure that privacy policies, links, and consent management platform interfaces are all displaying and functioning as expected.

Permissions

Identify which permissions the app is requesting from the consumer and which SDKs and libraries are installed. This helps understand and quantify the app's risk profile and pinpoint opportunities to eliminate unnecessary data collection, reducing risk.

Data Sharing

Inspect the range of third party domains that are receiving traffic from the app, to spot unauthorized data sharing and data leaks.

Case Studies

Uncovering Data Sharing with Unapproved Third Parties

After incurring a significant GDPR fine for not securing consumers' personal information, this Fortune 500 travel brand was concerned about unseen data sharing liabilities within its digital ad supply chain partners. Using Privacy Guard, the brand discovered their remarketing partner was allowing an unauthorized ad vendor to siphon data. The brand sent evidence from Privacy Guard to their remarketing partner, and the partner was able to find the source of the data leak and turn it off immediately.

Detecting and Correcting CMP Implementation Errors for a Health Publisher

A large health content publisher was seeing unexpected variability in revenue delivery. Using Privacy Guard to inspect the CMP's interactions with the IAB privacy signalling frameworks, the client was able to diagnose a critical error made by their Engineering team in a CMP update. Once corrected, revenue delivery resumed to normal patterns, ensuring full compliance for consumers who opted out, as well as maximizing revenue among consumers who opted in.

"Boltive's compliance system, with all of its tracking methodologies, will create a good paper trail and record of good faith efforts at privacy compliance."

— Richard Arney

Co-author CCPA, CPRA