Frequently asked questions

Most detectors cover one format and are trained mostly on English. Raid AI checks voice, images, video and documents in one platform. Audio detection covers over 120 languages in under 50 milliseconds, and it is the best Arabic deepfake detection model in the world, placing first on Track 1 of ArA-DF 2026. Image and video analysis catches face swaps and generated frames, and document forensics catches edited statements, IDs and invoices.

Yes. Raid AI supports real time and near real time detection across all media types. For voice, it analyses live audio streams during VoIP calls and online meetings. For video, it can detect face swaps and synthetic visuals in conference feeds. It integrates natively with Microsoft Teams, Zoom, Google Meet, Slack, Webex, and WhatsApp, helping stop deepfake attacks as they happen.

Raid AI is designed for financial institutions, contact centres and BPO operations, enterprise meeting platforms, government agencies, and media verification teams. It is used anywhere voice, image, or video communication drives business critical decisions and the cost of a successful deepfake attack is high.

Yes. Raid AI integrates directly with Microsoft Teams, Zoom, Google Meet, Slack, Webex, and WhatsApp to provide real time deepfake detection during live calls and meetings. The system monitors audio streams continuously and alerts participants immediately when synthetic speech is detected. For video calls, Raid AI can also identify face swap deepfakes and other visual manipulations in real time.

Raid AI is purpose built to detect CEO voice fraud and other executive impersonation attacks. Deploy it on any voice channel used for treasury, wire transfer, or financial authorisation calls. The under 50 ms audio latency means flagged calls are surfaced to the agent before they can complete a fraudulent request, and the accompanying forensic report supports investigation and recovery.

Yes. Raid AI analyses both live streams and recorded files across audio, image, and video. Upload a file through the web dashboard or submit it via the REST API to receive a detailed authenticity report with segment level verdicts, suitable for forensic investigations and compliance reviews.

Raid AI supports all major media formats. For audio: WAV, MP3, FLAC, OGG, M4A, and live streams from VoIP calls and video conferencing platforms. For images: JPEG, PNG, and WebP. For video: MP4, MOV, AVI, MKV and WebM. The platform handles compressed, low-quality media as well as high-fidelity source files.

Raid AI returns an authenticity verdict with a confidence score in under 50 milliseconds for audio. Depending on your configuration, the platform can show an on-screen alert to participants, display a visual warning when a video deepfake is identified, notify a security operations centre, block the call, or trigger a dual control verification workflow. Every detection event is logged for forensic review.

Raid AI achieves 99.7% detection accuracy for audio deepfakes across diverse conditions including phone calls, video conferences, compressed streams, and recorded files. Image and video deepfake detection capabilities are also available, with models continuously trained on the latest AI generation techniques across all three modalities to keep pace as deepfake technology evolves.

Audio detection supports over 120 languages and dialects. For Arabic it is the best deepfake detection model in the world: it placed first on Track 1 of ArA-DF 2026, which scores systems on dialects and speakers held out of training. Image, video and document analysis does not depend on language and works the same everywhere.

Raid AI delivers audio detection results in under 50 milliseconds (under 50 ms latency), enabling real time protection during live calls and meetings. Image and video deepfake analysis is also available, allowing security teams to verify visual media alongside audio for comprehensive multimodal protection.

Raid AI's models are trained with a focus on generalisation, not just fingerprinting known generators. For audio, the platform detects synthetic speech based on fundamental acoustic properties rather than relying on knowing which specific model produced it. The same principle applies to image and video analysis, where the models identify statistical artifacts common to generated and manipulated visual content. This multimodal approach is critical for catching zero day deepfakes from newly released generation tools.

Yes. Raid AI is trained on real world conditions across all media types. For audio, the detection pipeline tolerates background noise, bandwidth limitations, and compression artifacts from phone calls and mobile recordings. For images and video, the models handle low-resolution files, heavy compression, and social media re encoding that destroy the signals used by lab trained academic detectors.

You choose how long media is kept. With zero retention, media is analysed and discarded once the verdict is returned and nothing is written to Raid AI storage. Otherwise media is kept for a window you set, 30 days by default, and then deleted. None of it is used to train a model, and enterprise tenants can keep their records inside their own database or infrastructure instead. Media goes only to the detection engines your tenant is configured to use, and only to produce the verdict.

Raid AI offers both cloud API and on premise deployment options. The cloud API provides quick integration with minimal setup, just a few lines of code. On premise deployment runs entirely within your organisation's infrastructure, ideal for air gapped environments with strict data sovereignty requirements. Both options deliver the same detection capabilities across audio, image, and video, and both let you choose zero retention.

Raid AI is designed around the SOC 2 trust service criteria and is actively working toward formal certification. We do not currently claim SOC 2, ISO 27001, or HIPAA certification. If you need a specific certification as a condition of deployment, contact us to discuss our current state and timeline.

Yes. Raid AI provides a REST API, official SDKs, and native integrations with major collaboration platforms. Audio, image, and video analysis can all be embedded into your existing pipelines. Detection events can be routed to your SIEM, SOC tooling, fraud operations platform, or custom workflows. Enterprise customers receive dedicated integration support.

No. Raid AI offers an easy-to-use dashboard with drag and drop uploads for audio, image, and video files. For developers and integration teams, it also provides a REST API that can be added to any media pipeline with a few lines of code.

Raid AI is priced for enterprise deployment. Pricing depends on volume, deployment mode (cloud or on premise), modalities required (audio, image, video, or all three), integrations, and language coverage. Contact our sales team at info [at] raidxai [dot] com for a tailored quote based on your specific use case.

Cloud API integrations can be up and running in hours with a few lines of code. Native integrations with Microsoft Teams, Zoom, Google Meet, Slack, and Webex can be deployed in days. On premise and air gapped deployments for government and regulated industries typically take weeks depending on infrastructure requirements. Contact sales for a timeline specific to your environment.