Resemble AI

Resemble AI is a multimodal generative-media security platform for detecting synthetic audio, images, and video, monitoring meetings, searching impersonation, and watermarking content. It provides web access and APIs, batch processing on paid plans, and enterprise cloud or on-premises deployment. Its differentiator is one vendor for real-time detection, threat intelligence, identity protection, and provenance workflows instead of voice alone. Media-pipeline builders may examine ElevenLabs, Deepgram, and Murf AI, though those focus more on generation or speech infrastructure.

Pricing is transparent. Flex costs $0 monthly with one seat and usage credits. Flex rates are $0.035 per second for audio detection, $0.035 per image, $0.07 per second for video, and $0.025 per second for Intelligence. Team costs $350 monthly or $280 per month billed annually, includes five seats, and lowers audio and image to $0.015, video to $0.03 per second, and Intelligence to $0.015 per second. Business costs $1,000 monthly or $800 per month annually, includes 20 seats, SSO, organization-wide meeting integration, and the same listed rates as Team. Enterprise is custom and adds volume pricing, SLAs, custom training, support, and on-premises deployment. Flex credits do not expire according to the FAQ.

The platform suits fraud review, call-center abuse screening, newsroom verification, executive impersonation monitoring, and authenticity pipelines. A pilot must include authentic samples and attacks resembling actual risk: compressed phone audio, replayed speech, edited social video, screenshots, face swaps, and multiple languages. Measure true-positive rate, false-positive rate, verdict time, latency, analyst time, and cost per thousand items. A detector that catches fakes but blocks legitimate customers may be unacceptable.

Strengths include multimodal coverage, published rates, real-time APIs, and hosting choices. Limitations are fundamental: detection is probabilistic, generators evolve, and compression, noise, cropping, or novel models can reduce quality. A score is not proof of fraud. Batch upload, large files, SSO, and meeting security require paid tiers.

Use the AI agent security guide to place detection inside broader controls. Require a second signal for consequential action, preserve original files and metadata, record model and threshold, and route uncertain cases to reviewers. Resemble provides a credible technical layer, but organizations still need identity verification, callback procedures, payment controls, incident response, and appeals for false positives. Set thresholds separately by channel rather than copying one cutoff everywhere. Phone audio, uploaded studio recordings, social images, and meeting video have different base rates and error costs. Re-test monthly with newly observed attacks and retain a holdout set that analysts have not seen. Procurement should also confirm concurrency, rate limits, regional processing, retention, and incident-notification terms.