AI Content Detection Tools

Across multiple industries, companies face unprecedented challenges combating the misuse of cutting-edge AI technology

Organizations need equally sophisticated technology to combat altered, manipulated or malicious source material; Attestiv’s AI content detection tools can help

Numerous industries use our forensic technology to verify the authenticity of source images, videos, and text:

  • Insurance: Insurers verify the authenticity of photos for claims to prevent fraud and accurately assess cases.
  • Financial Services: Lenders verify the existence and condition of collateralized assets used in loans. 
  • Media: Publishers use our platform to ensure the authenticity of source images and documents, helping them avoid publishing or citing inaccurate articles that spread misinformation.
  • Cybersecurity: Enterprises guard against malicious media content used for phishing, spreading misinformation and various types of fraud.
  • Healthcare: Our AI content detection tools help the medical industry reliably track and trace claims.

Why Use AI Content Detection Tools for Your Business?

Attestiv’s AI content detection tools provide your organization with the security of accurate and informed decision-making and protection against deepfake cyber threats.

  • Protect your business processes and reputation against fraud.
  • Reduce costs with efficient, self-service processes using automated image, video, and document validation.
  • Prevent losses from fraudulent claims or expenditures based on unvetted information.
  • Gain confidence through an automated system that identifies and flags suspicious content.

Our analysis service consists of a web-based application and APIs that review source materials to determine whether someone has manipulated them from their original form or generated them using AI. It’s like adding an expert forensic analyst to your team who can detect potential fraud in seconds. 

Build Trust. Save Money. Improve Service.

How Accurate Are Content Detection Results Using Attestiv?

Attestiv’s content detection results are highly accurate. They’re tested to a minimum of 97% of the Area Under the Receiver Operating Characteristic Curve (ROC AUC). This means Attestiv’s models have a 97% chance of accurately distinguishing characteristics of fraudulent source content in images. Every model is biased to avoid false positives and identify ambiguities for further intervention.

Fake Image of Dodge Charger

About the Content Detection Process

Our industry-leading technology is compatible with a wide range of digital media, making it easy to import, test, validate, and store documents for future integrity. Here’s how it works.

1. Intake via App or API

You can gather and import images from numerous sources. Then, enter them from a mobile device, camera, drone, surveillance system, or legacy media library into the Attestiv mobile or web app or our APIs.

2. Analysis and Tamper Detection

Our software detects anomalies with a forensic scan. It generates an aggregate tamper score between 1 and 100: Lower numbers represent trustworthiness, and higher numbers indicate a need for further image review.

3. Validation and Reporting

Attestiv’s patented real-time verification provides detailed reporting regarding each item’s authenticity. 

4. Optional Automation

Our software can read and process text from documents, saving you time from manual entry.

Our detection platform provides the following capabilities for images, videos, and documents.

AI in image detection tamper score
AI object analysis

Images

Generative AI like DALL-E and Stable Diffusion provide a new level of sophistication in generating fake images and altering source images. Attestiv’s AI image detector protects your organization from those who misuse these platforms for deceptive purposes.

Our model searches through metadata, traces provenance to editing software, can perform a reverse search against multiple websites and identifies pixel-level anomalies indicative of synthetic content.

Our AI image detection features also include:

  • Evidence of any editing or changes to images
  • The location of edits using visual heatmaps
  • Photos of a computer monitor or other screen type
  • Images found on the internet
  • Low-quality or blurry images
  • Changes to time, date, and location
  • Various pixel-level anomalies

Videos

Our video detection uses AI analysis to identify content manipulation as well as generated content from a variety of deepfake generation platforms. It provides an overall suspicion rating, graphically illustrating different categories of anomalies, with easy-to-understand levels of authenticity and powerful analysis from any video source, including multiple resolutions and formats.

document highlight

Documents

Organizations in financial services, insurance, and government sectors require the highest reliability of source documents to prevent fraud. Our proprietary document fraud detection process lets you leverage AI, computer vision, and blockchain technologies so you can be confident of a document’s authenticity.

Our models utilize rule-based approaches and AI,as well as blacklists to identifysigns of tampering of documents.

AI Content Detection Tools and Forensics You Can Rely On

Digital media fraud doesn’t have to impact your reputation or your finances. Our web-based image, document, and AI video detection are affordable, fast, and actionable.

Want to see for yourself? Get started with a free 30-day trial. Got questions? Reach out to one of our experts today!

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Mark Morley

Mark Morley is the Chief Operating Officer of Attestiv.

He received his formative Data Integrity training at Deloitte. Served as the CFO of Iomega (NYSE), the international manufacturer of Zip storage devices, at the time,  the second fastest-growing public company in the U.S.. He served as the CFO of Encore Computer (NASDAQ) as it grew from Revenue of $2 million to over $200 million. During “Desert Storm”, Mark was required to hold the highest U.S. and NATO clearances.

Mark authored a seminal article on Data Integrity online (Wall Street Journal Online). Additionally, he served as EVP, General Counsel and CFO at Digital Guardian, a high-growth cybersecurity company.

Earlier in his career, he worked at an independent insurance agency, Amica as a claims representative, and was the CEO of the captive insurance subsidiary of a NYSE company.

He obtained Bachelor (Economics) and Doctor of Law degrees from Boston College and is a graduate of Harvard Business School.