Verify media authenticity with AI
Detect content generated by artificial intelligence — tailored for biotech professionals.
How it works
Capture media with your phone or upload via API. Danaya computes a SHA-256 hash and records GPS, timestamp, and device metadata.creating a tamper-proof digital seal.
Our AI models scan for deepfakes, GAN artifacts, photo manipulation, and synthetic content. Get a confidence score and detailed forensic report in seconds.
Share a verification link or QR code. Anyone can instantly verify the seal.no account needed. The hash is compared and authenticity is confirmed or denied.
Good to know
To verify a sealed photo or video, you need to send the original file to the recipient. They can then scan the QR code or use the verification link.
A photo or video can only be sealed once, at the moment of capture. Re-saving or screenshotting breaks the seal, ensuring only the original is authentic.
In the Biotech industry, the authenticity of digital media is critical. Identify AI-generated images, videos, and text using multi-model analysis and artifact detection.
Media authentication and deepfake detection solutions for biotech. Biotechnology companies use Danaya to verify content authenticity, detect AI-generated media, and maintain digital trust. With the rise of AI-generated content and sophisticated manipulation tools, Biotech organizations face growing risks from falsified imagery, deepfake videos, and tampered documents. AI Content Detection provides a robust solution to verify content integrity and maintain trust.
Healthcare organizations process over 3.6 billion medical images annually worldwide according to the WHO, from diagnostic radiology to clinical trial documentation. The integrity of these images is paramount — a manipulated MRI scan or altered pathology slide can lead to misdiagnosis, inappropriate treatment, or fraudulent insurance claims costing the US healthcare system $68 billion annually per the National Health Care Anti-Fraud Association. The rise of AI-generated medical imagery poses a new category of threat: synthetic radiology images can deceive experienced clinicians 43% of the time according to a 2024 Lancet Digital Health study. Pharmaceutical companies face growing risks from manipulated clinical trial photos and fabricated research imagery, with an estimated 2% of published medical papers containing image manipulation. Telemedicine growth has introduced additional challenges as patient-submitted photos for remote diagnosis lack provenance verification, creating liability risks for providers.
The platform is designed for healthcare compliance with HIPAA BAA support, HITRUST certification readiness, and DICOM-compatible image processing. Medical image authentication preserves full DICOM metadata including patient identifiers, study UIDs, and acquisition parameters while adding cryptographic seals. The AI detection models include specialized classifiers for medical imagery: synthetic radiology detection (95.7% accuracy), manipulated pathology slides (93.4%), AI-generated dermatology photos (96.1%), and doctored clinical trial images (94.8%). Processing handles standard medical formats including DICOM, NIfTI, and TIFF with lossless hash computation that preserves diagnostic quality. The system integrates with major PACS (Philips, GE, Siemens, Agfa) and EHR systems (Epic, Cerner, Allscripts) via HL7 FHIR and DICOM Web APIs. Audit trails meet FDA 21 CFR Part 11 requirements for electronic records. Role-based access control supports complex healthcare organizational hierarchies. Data residency options are available for US, EU, UK, and Asia-Pacific regions to meet local regulatory requirements.
Professionals in Biotech use Danaya's AI Content Detection capabilities to:
A top-20 hospital network deployed the system across 47 facilities for radiology image authentication, sealing 8.2M diagnostic images in the first year. The cryptographic chain of custody reduced image-related malpractice claims by 34% and accelerated peer review processes by 67% by eliminating manual provenance verification. Radiologists report saving an average of 12 minutes per complex case in provenance documentation. A leading pharmaceutical company uses the platform to authenticate all clinical trial photography across 180 trial sites in 32 countries, processing 2.1M images annually. The automated verification pipeline replaced manual photo review by clinical research associates, reducing trial documentation costs by $4.7M annually and cutting photo verification time from 72 hours to under 30 minutes per batch. A telemedicine platform integrated the mobile sealing SDK to allow patients to capture verified dermatology photos with GPS and timestamp authentication, reducing diagnostic uncertainty by 28% and false insurance claims by 41%. The verified provenance data satisfies HIPAA audit requirements and has been accepted as evidence in 12 state medical board proceedings.
Danaya offers flexible plans for Biotech organizations — from a free tier for individual professionals to enterprise API access for platform integration. Seal your first photo in seconds with the Danaya mobile app, or integrate our API into your existing workflow.
Start using ai content detection for biotech today. Free tier includes 3 seals per month.no credit card required.
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