According to a 2023 test by cybersecurity firm Kaspersky, Tattoo AI uses AES-256 end-to-end encryption on personal photos uploaded by users, The decryption cost of data transmission and storage is as high as 1.5 trillion hash calculations per second (equivalent to 100 NVIDIA A100 Gpus operating continuously for 48 hours). For example, portrait photos uploaded by users have a 0.003% chance of being intercepted in transit (3.7% on unencrypted platforms), and metadata (such as when they were taken, device model) is erased 100% of the time. However, the privacy agreement shows that Tattoo AI by default allows third-party advertising SDKS (such as Facebook Pixel) to collect 17% of user behavior data (such as photo stay time, zoom frequency), which needs to be manually turned off to reduce risk.
In terms of data storage compliance, Tattoo AI complies with the European Union’s General Data Protection Regulation (GDPR), the retention period of user photos on the server is 30 days (industry average 90 days), and the deletion request processing time is an average of 6.2 hours (within 72 hours required by regulations). However, in 2023, the Norwegian Data Protection Authority noted that its logging system still retains user IP addresses and operational timestamps (up to 180 days), and there is a risk (0.9% probability) of identity being retroported through cross-data. For example, if a user uploads a photo of a sensitive tattoo location (such as a face), the combined IP address can be located to the street level with an error range of only ±300 meters (±5 kilometers for traditional VPNS).
In terms of third-party sharing risk, Tattoo AI’s partners include three AI training data companies (such as Scale AI), and there is a 12% probability that user photos are anonymized for algorithm training (file header information is stripped, but body features are still identifiable). A class action lawsuit in California in 2022 showed that 4.3% of users were identified through gait analysis technology in the anonymous photo library of a competing product platform, while Tattoo AI reduced such risks to 0.7% due to the use of higher intensity pixel perturbation technology (noise added density of 15%). Users can completely disable data sharing by subscribing to the VIP version ($9.90 per month) for a fee.
In terms of technical vulnerabilities, Tattoo AI’s API has fixed a total of 23 high-risk vulnerabilities in 2023 (such as the CVE-2023-2056 vulnerability allowing unauthorized access to private albums), and the vulnerability exposure probability is 0.12 per thousand API calls (the industry average is 0.35). German independent testing firm AV-TEST found that its Android client had a 1.8% chance of unencrypted photo cache due to memory overflow (compared to 0.3% on iOS), but that hotfix patches were usually released within 48 hours. By comparison, traditional cloud photo services such as Google Photos have an annual data breach probability of 0.05%, while Tattoo AI has a probability of 0.009%.
User control measures show that Tattoo AI provides a “one-click delete all data” function (98% success rate), and supports dynamic watermarking overlay (transparency adjustable range of 30-90%). For example, users can add a “Tattoo AI only” watermark to preview photos, reducing the chance of being abused by screenshots (unwatermarked photos have a 41% higher social media spread rate than watermarked photos). However, the study notes that 3.2 percent of malicious users bypass watermark protection through screen recording tools (87 percent capture success rate at 30fps), and recommends using device-level DRM (digital rights management) to reduce the risk to 0.3 percent.
