The damage curve is measured in hours, not quarters.
By the time an unauthorised deepfake reaches a client's inbox, it has already been seen. Autonomous agents sweep continuously against every registered likeness and file notices under rights already on record — so enforcement does not wait for a lawyer to be free.
- sweep
- autonomous
- first notice
- agent-filed
- evidence
- packaged
- surfaces
- web · video · ads · apps
- notice filedCloned voice in monetised uploadVideo platform
- removed · 6 hFace used in investment creativeAd network
- escalatedLikeness in app screenshotsApp store
- notice filedVoice clone in reply videoSocial
- removed · 2 hUnlicensed voice pack listingMarketplace
Why most monitoring fails
Keyword alerting finds mentions, not likeness. Reverse image search finds copies, not AI synthesis. Neither knows what was licensed, so every hit lands in a human queue that nobody has time to clear.
Agents wired to a rights registry invert the problem. The system already knows which AI uses are permitted, in which territories, until when — so the only findings that reach a person are the ones outside a live grant.
Where synthetic likeness actually shows up.
Scanning is prioritised by where harm converts fastest: paid distribution, monetised video, and app stores — not just the social feeds that are easiest to crawl.
Video platforms
Uploaded and monetised AI video matched on face and voice, including clips too short for conventional fingerprinting.
Ad networks
Paid creative across programmatic inventory — the surface where fake endorsements do the most financial damage fastest.
App stores & marketplaces
Listings, screenshots, voice packs and companion apps built on someone else's likeness.
Social & short form
High-velocity surfaces where a clip is judged in the first hour and reposted long after the original is gone.
Open web & forums
Long-tail sites, mirrors and aggregators, including the places takedowns are coordinated against.
Audio & podcasts
Cloned voice in ad reads, sponsorships and synthetic interview content across audio platforms.
A notice is only as good as the evidence stapled to it.
Every finding is packaged before it is filed: the matched asset, the confidence, the grant it violates, the capture with timestamps and hashes, and the chain of custody. Platforms act faster on complete submissions, and counsel can escalate without rebuilding the file.
- 01
Match
A registered voice or face is detected on a monitored surface with a confidence score.
continuous
- 02
Adjudicate
The use is checked against live grants. Anything covered is dismissed automatically and silently.
seconds
- 03
Package
Capture, hashes, timestamps, model versions and the violated term are sealed into an evidence record.
automatic
- 04
File & track
Notice submitted through the platform's channel, then tracked to resolution with escalation paths.
hours
- matching
- Face and voice matching with generative AI synthesis scoring on every candidate
- cadence
- Autonomous and continuous for enrolled assets; priority sweeps triggered by campaign, release or incident
- adjudication
- Automatic dismissal of uses covered by a live grant, including territory and term checks
- evidence
- Screen and media capture, cryptographic hashes, timestamps, model versions, chain of custody
- filing
- Platform-native notice channels, DMCA where applicable, plus jurisdiction-specific likeness statutes
- reporting
- Per-asset dashboards, resolution times, repeat-infringer tracking, exportable case files
Stop finding out from a client.
Enrol a roster, set the terms once, and let enforcement run without a standing meeting about it.
soc 2 type ii in progress · eu & uk data residency · no ai training on your data