What is Sensity AI?

Sensity AI is a specialized deepfake detection platform designed to authenticate synthetic media with scientific rigor. It analyzes videos, images, and audio files using a multilayer forensic approach—examining pixel-level artifacts, voice spectral inconsistencies, file metadata, container structures, and cross-modal anomalies. Built for high-stakes environments like law enforcement, government agencies, and regulated enterprises, Sensity delivers court-admissible reports with confidence scores, visual evidence markers, and full audit trails. Its architecture supports both cloud-based scalability and secure on-premise deployment, ensuring compliance with strict data sovereignty and privacy requirements. Unlike single-signal detectors, Sensity stacks independent forensic signals to achieve 98% accuracy on public benchmarks and reduce false positives significantly—making it a trusted standard in digital integrity verification where truth is non-negotiable.

Main Features

- Multilayer Detection: Combines pixel-level visual forensics, voice spectral analysis, file container forensics (codecs, timestamps, headers), and behavioral inconsistency checks for comprehensive synthetic media assessment.

- Cloud and On-Premise Deployment: Offers flexible infrastructure options—fully managed cloud service or private, air-gapped on-premise installation—to meet security, compliance, and latency needs.

- Fully Automated Analysis: Processes uploads (files or URLs) in seconds with zero manual intervention, enabling rapid triage and scalable investigation workflows.

- Actionable Forensic Reports: Generates structured, court-ready documentation featuring confidence metrics, annotated visual/audio evidence, metadata breakdowns, and explainable reasoning—designed for legal admissibility and internal audits.

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

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

Use Cases

- Government & Judicial Forensics: Verifying authenticity of digital evidence submitted in criminal investigations, court proceedings, or intelligence analysis—especially in disinformation-heavy contexts like elections or armed conflicts.

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

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

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

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

- Cybersecurity Operations: Integrating into SOCs 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/on-premise), volume of analyses, integration scope, and support SLAs—requires direct consultation with sales.

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

- Developer Tier: Limited free API access for testing and prototyping; production usage requires enterprise agreement.

- No publicly listed entry-level or self-serve subscription plans (e.g., no $29/month tier). All commercial offerings are quoted individually after discovery discussions.

Frequently Asked Questions

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

A: Achieves 98% accuracy on widely accepted public benchmarks such as 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 (e.g., YouTube links, 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 firewall?

A: Yes—on-premise deployment options ensure full data residency control, offline operation