Attestiv
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About
Attestiv is an AI-powered platform designed to detect and analyze altered or fake digital content, including photos, videos, and documents. It uses a combination of AI models to identify manipulations, providing a tamper score indicating the likelihood of tampering. The platform integrates with existing workflows through APIs, enabling businesses across various sectors (insurance, cybersecurity, finance, news & media) to automate fraud detection, improve efficiency, and build trust in their digital assets. Attestiv's technology is designed to be scalable, offering bulk analysis capabilities and the option of storing fingerprints on a distributed ledger. It aims to mitigate the risks associated with deepfakes and other forms of digital manipulation.
Platform
Task
Features
• api access
• document analysis
• fraud detection
• video analysis
• deepfake detection
• photo analysis
• digital asset validation
• ai-powered digital content analysis
FAQs
What types of digital files does the Attestiv Platform analyze?
It analyzes photos (jpeg or png formats) or documents (pdf, jpeg and png formats). Video formats will be available soon.
Who should use Attestiv?
Anyone making business decisions based on photos, documents, and videos who is concerned about altered media and generative AI.
What does the Attestiv Tamper Score mean?
The tamper score signifies the likelihood from 0 to 100 that an item is tampered, altered, or fake
What Tamper Score indicates an item is suspicious?
A score of 50 or over is the default threshold for suspicious items, though that threshold is adjustable and can be made higher for lower sensitivity or lower for higher sensitivity
If an item is marked suspicious, does that mean it is fraudulent?
If an item has a high Tamper Score, that indicates it is suspicious. Attestiv will report on what it discovered in the item to make it suspicious. However, a suspicious item may require further analysis to be considered fraudulent. For instance, an item that was found on the internet is marked suspicious, but may or may not be fraudulent if it isn’t being re-used for malicious purposes.
How many models are used to generate the tamper score?
The tamper score aggregates numerous models that run on each item to produce the score. There are over 80 models Attestiv uses across a number of categories listed on [the Attestiv website technology section](https://attestiv.com/technology/).
What is the accuracy of the Attestiv platform?
Each model used by the Attestiv platform is tested to a minimum of 97% AUC and biased toward false negatives to try to avoid false positives. However, each model is trained on certain types of anomalies or potential fraud and is not all-encompassing. We strive to identify new threats and include them as part of our analysis as soon as we can.
What is AUC?
AUC stands for the area under the curve, which provides an aggregate measure of accuracy across various classification thresholds. Specifically, it takes into account accuracy relative to false positives and false negatives.
What is a false negative?
A false negative occurs when a suspicious item is not flagged or missed by the system.
What is a false positive?
A false positive occurs when an authentic item is incorrectly flagged as suspicious.
I’m looking for a generative AI detector. Does Attestiv flag generative AI?
Attestiv flags generative AI produced by many of the popular text-to-image platforms, including Dall-E, Stable Diffusion, and Midjourney. As you may have noticed, new versions and new platforms appear regularly, and we strive to be up-to-date on the latest. If you discover a new generative AI framework that is not supported by our analysis, please notify us via [our support web page](https://attestiv.com/support/).
I’m looking for a Photoshop detector. Will Attestiv flag Photoshop and other photo editors?
Yes, Attestiv detects various photo editors via traces and pixel-level analysis.
I’m looking for a photo of a screen or screenshot detector. Does Attestiv detect these?
Attestiv detects photos of screens, screen captures, and photos of photos.
Why are a lot of my photos flagged as suspicious?
Often photos are manipulated or resized as part of capture, handling or to try to save storage space. In such cases, the photo may not have been maliciously altered but will still contain traces of manipulation. Attestiv offers tunable settings through the dashboard and can be configured to selectively ignore common manipulations that are not malicious. There are several calibration profiles that administrators can select including high sensitivity, low sensitivity, Insurance, and News and Media. If you would like help calibrating or customizing settings for your data, please bring it to our attention via [our support web page](https://attestiv.com/support/).
What if I find a file that is flagged incorrectly?
Attestiv provides several calibration profiles that can be selected depending on the type and source of items being analyzed. Selecting the appropriate setting will often help properly calibrate your system and eliminate false positives or negatives. However, if Attestiv continues to flag files incorrectly, please bring it to our attention via [our support web page](https://attestiv.com/support/). We are always interested in hearing from our customers to improve our models.
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