What is Sensity AI?

Sensity AI is a sophisticated deepfake detection platform designed to verify the authenticity of digital media with scientific precision. It serves as a digital integrity verification tool that analyzes videos, images, and audio files through a comprehensive multilayer forensic approach. The platform examines pixel-level visual artifacts, voice spectral inconsistencies, file metadata, container structures, and cross-modal anomalies to identify synthetic media. Built specifically for high-stakes environments including law enforcement, government agencies, and regulated enterprises, Sensity delivers court-admissible forensic reports with confidence scores, visual evidence markers, and complete audit trails. Its architecture supports both cloud-based scalability and secure on-premise deployment, ensuring compliance with strict data sovereignty and privacy requirements. Unlike simpler detection tools, Sensity stacks multiple independent forensic signals to achieve exceptional accuracy while minimizing false positives, making it a trusted standard in digital media authentication where truth verification is critical.

Main Features

- Multilayer Detection: Combines pixel-level visual forensics, voice spectral analysis, file container forensics, and behavioral inconsistency checks for thorough synthetic media assessment.

- Flexible Deployment Options: Offers both cloud-based service and private on-premise installation to meet various security, compliance, and latency requirements.

- Automated Analysis: Processes uploaded files or URLs within seconds without manual intervention, enabling rapid triage and scalable investigation workflows.

- Actionable Forensic Reports: Generates structured, court-ready documentation featuring confidence metrics, annotated visual and audio evidence, metadata breakdowns, and explainable reasoning.

- Developer Integration Tools: Provides robust API and SDK for seamless embedding into existing security platforms, KYC systems, video conferencing applications, or digital evidence management suites.

- Real-Time Validation: Supports live biometric verification during video calls or identity onboarding to detect AI impersonation attempts immediately.

Use Cases

- Government and Judicial Forensics: Verifying authenticity of digital evidence in criminal investigations, court proceedings, or intelligence analysis, particularly in disinformation-heavy contexts like elections.

- Corporate Security and KYC: Strengthening remote onboarding, video-based identity verification, and fraud prevention by detecting synthetic faces and cloned voices in real time.

- Financial Services Protection: Guarding against deepfake-powered social engineering attacks targeting executives, call centers, or transaction authorization systems.

- Media Integrity and Journalism: Validating user-generated content, press footage, or political advertisements before publication to prevent amplification of manipulated narratives.

- Hospitality and Travel Security: Securing digital check-ins, loyalty program access, and contactless services by confirming human presence and preventing synthetic identity spoofing.

- Cybersecurity Operations: Integrating into security operations centers and threat-hunting pipelines to flag manipulated media used in phishing, reputation sabotage, or insider threat scenarios.

Pricing Plans

- Enterprise Plan: Custom pricing based on deployment model (cloud or on-premise), volume of analyses, integration scope, and support service level agreements. Requires direct consultation with sales team.

- Government Plan: Tailored for public sector procurement cycles, including FedRAMP-aligned deployments, compliance certifications, and dedicated forensic reporting modules. Contact sales for specific quote.

- Developer Tier: Limited free API access for testing and prototyping purposes. Production usage requires an enterprise agreement.

- No publicly listed entry-level or self-serve subscription plans available. All commercial offerings are quoted individually after discovery discussions.

Frequently Asked Questions

Q: How accurate is Sensity AI's deepfake detection?

A: The platform achieves 98% accuracy on widely accepted public benchmarks like FaceForensics++ and DeepFakeDetection, validated across diverse manipulation techniques and codecs.

Q: Can Sensity analyze content from URLs or only uploaded files?

A: Yes, it accepts both direct file uploads and publicly accessible URLs such as YouTube links or cloud storage shares for analysis.

Q: Does Sensity support audio-only deepfake detection?

A: Yes, its voice analysis module examines raw audio waveforms and spectrograms to identify synthesis artifacts, even in highly natural-sounding cloned speech.

Q: Are forensic reports legally admissible?

A: Yes, reports follow NIST SP 800-161 and ENFSI guidelines, include chain-of-custody logs, reproducible methodology, and tamper-evident digital signatures for judicial use.

Q: Can Sensity be deployed behind a