Skip to main content

Brand Protection

Authenticity, impersonation, and amplification monitoring

At a glance

Per-org
Protected assets registry — executives, logos, voice clips, taglines
15-min
Continuous monitoring with rolling-baseline spike detection
Signed
Evidence packages routed to legal, platform abuse, and comms

Why it matters

  • Deepfakes of executives can damage reputation and stock prices
  • Synthetic media impersonation is growing exponentially
  • Brand teams need verifiable evidence packages to act on suspected impersonation

What Raina does

Visual deepfake detection

Frame-level synthetic-image probability from the universal forensic pipeline, surfaced as part of every brand-vertical scan.

Voice clone detection

Per-clip synthetic-audio probability via Resemble Detect and AssemblyAI Voice. The brand panel reports it as a separate signal from visual deepfake probability.

Protected-assets registry

Per-organization registry of executive headshots, logos, voice clips, and registered taglines. Scans match against the registry and surface the matched asset in the evidence package.

Continuous monitoring

Opt-in per asset. The scheduler runs every 15 minutes, learns a rolling mention baseline, and opens an incident when amplification spikes past the threshold.

Incident tracking + webhooks

Each spike opens an incident record with a triggered-snapshot audit. A signed webhook fires to the configured URL so downstream tools can route the alert.

Evidence package builder

Single-click bundle of headline, summary, signal block, and routing recommendations for legal, platform-abuse, and comms teams.

Incident triage and routing

Each amplification spike opens an incident with a webhook delivery record and a status workflow (open → acknowledged → resolved or dismissed). Analysts can route incidents to legal, platform abuse, or comms with a signed evidence package attached.

How it's verifiable

C2PA

Content credentials and provenance verification on submitted media.

Ed25519

Every verification report and evidence package is cryptographically signed.

Bayesian

Source-tier scoring model under the corroboration engine.

Example workflows

1

Profile setup

Register protected assets, executives, and brand elements

2

Continuous monitoring

Opt-in per asset. The scheduler watches social amplification and forensic match signals between scans.

3

Triage and route

Analyst opens the incident in /brand-incidents, reviews the trigger snapshot (current mentions vs baseline, webhook delivery status), and either acknowledges, resolves, or dismisses. Status transitions are audited.

4

Verification on demand

Submit suspected impersonation content for multi-layer authenticity analysis. Visual deepfake and synthetic-audio probabilities are surfaced as separate signals.

5

Evidence package

Receive a signed verification report and an evidence package formatted for legal action and platform abuse reporting.

We value your privacy

We use essential cookies to run the site. With your permission, we also use analytics cookies (PostHog) to improve Raina. Privacy Policy | Terms