Creative IP. Protected before the prompt.
Media companies face a unique convergence of intellectual property risk and regulatory obligation. Pre-release scripts leak through AI summarization. Production schedules surface in planning queries. Talent contracts and deal terms reach unauthorized models through natural-language prompts. Arbitex puts an enforcement layer between every AI request and every model — inspecting, classifying, and governing content before sensitive creative and business data leaves your environment.
Capabilities
AI governance built for creative and entertainment environments.
Pre-Release Content Protection
Unreleased scripts, plot summaries, casting decisions, and production timelines represent the most commercially sensitive data in media companies. A single AI prompt summarizing an unreleased storyline can leak material that moves stock prices or destroys marketing campaigns. Arbitex's DLP pipeline detects pre-release content patterns in AI prompts — project codenames, episode titles, character arcs, and production schedule references — before any model processes them. Content teams using AI writing assistants are inspected in-path. Violations are blocked or flagged before reaching any model endpoint.
DMCA Compliance — Copyright-Protected Material Detection
The Digital Millennium Copyright Act creates liability when copyrighted material is reproduced or distributed without authorization. AI tools that ingest scripts, lyrics, music compositions, or visual descriptions can reproduce protected content in their outputs. Arbitex applies inspection and enforcement at the AI request boundary before models process or generate derivative content. Arbitex does not ship copyright detectors: studios and publishers author org DLP rules for the titles, character names, and catalogue identifiers they need screened, and the policy engine enforces DMCA-aligned controls on those matches.
Royalty and Licensing Data DLP
Licensing agreements, royalty rates, distribution deal terms, and residual payment structures are among the most commercially sensitive data in entertainment. AI queries analyzing contract terms, comparing deal structures, or summarizing licensing agreements create vectors for this data to reach unauthorized models. Arbitex enforces licensing data classification policies in-path, detecting deal terms, royalty percentages, distribution windows, and territory rights before any AI model processes them.
Talent PII Protection — SAG-AFTRA and Guild Obligations
Talent personal information — home addresses, compensation details, health records, minor performer data, and contact information — carries both regulatory and contractual protection obligations under SAG-AFTRA agreements, CCPA, and state privacy laws. AI tools used in casting, payroll, and production management handle this data routinely. Arbitex detects talent PII in AI prompts using ML-based entity recognition trained on entertainment industry data patterns, enforcing guild-aligned and privacy-law-aligned controls at the model boundary.
Competitive Intelligence — Deal Terms, Ratings, and Market Data
Audience ratings, box office projections, advertising rates, subscriber metrics, and competitive deal terms are material non-public information in publicly traded media companies. AI tools used for market analysis, competitive research, and strategic planning routinely handle this data. Arbitex detects MNPI patterns in AI prompts — revenue figures, subscriber counts, advertising CPM rates, and acquisition terms — enforcing SOX-aligned controls and preventing material information from reaching unauthorized AI endpoints.
Content Categories — Automated Classification at the Gateway
Media organizations manage thousands of content assets across development, production, and distribution stages. Arbitex's content category system automatically classifies AI requests by content sensitivity level — distinguishing between public marketing materials, internal production documents, pre-release creative assets, and confidential business records. Classification drives enforcement: public content flows freely while pre-release and confidential categories trigger DLP inspection, audit logging, and policy evaluation before model access.
How it works
Deploy at your content perimeter
The Arbitex data plane installs in your media company's infrastructure using Docker Compose or Kubernetes — inside your production network, content management VPC, or studio campus environment. All AI traffic from creative teams, production systems, business intelligence tools, and content management platforms routes through the gateway before reaching any model endpoint. Pre-release content detection, talent PII enforcement, and audit logging run entirely inside your environment. No creative IP transits Arbitex-controlled infrastructure.
Content-aware DLP runs on every AI request
Your configured compliance bundle activates the relevant detection sets. Pre-release content patterns run at Tier 1 — structural regex matching project codenames, episode identifiers, and production schedule formats. Tier 2 applies ML-based detection to identify talent PII, deal terms, and royalty data in free-text creative and business queries. Contextual validation at Tier 3 resolves ambiguous detections — distinguishing published content references from unreleased material. Enforcement actions — block, redact, or route-to-review — execute before any data reaches the model.
Audit evidence for rights holders, regulators, and guild compliance
The tamper-proof audit log accumulates a complete evidence trail for every AI interaction involving protected content. Signed exports include compliance framework identifiers mapped to each enforcement action — ready for DMCA compliance reviews, CCPA data subject access requests, guild audit requirements, and SOX compliance examinations. SIEM integrations deliver enforcement metrics for continuous monitoring of content protection across creative and business teams.
Six frameworks. One policy layer.
Each compliance obligation maps to a specific Arbitex capability. All bundles are active simultaneously — no separate configuration per framework or content type.
Copyright-protected content detection at the AI boundary. Script excerpts, lyrics, registered trademarks, and licensed character descriptions identified before model processing.
Talent and consumer PII detection and governance. Data subject access request support with tamper-proof audit evidence for California privacy compliance.
International talent and audience data protection. Cross-border data transfer controls and data minimization enforcement for AI workflows involving EU personal data.
Material non-public information controls for publicly traded media companies. Revenue figures, subscriber metrics, and deal terms governed at the AI boundary with audit trail evidence.
Broadcast and telecommunications subscriber data protection. CPNI and audience measurement data controls for media companies operating broadcast or streaming infrastructure.
Multi-state privacy compliance for media companies operating across jurisdictions. Talent PII, audience data, and subscriber information governed under varying state requirements.
Related Resources
Ready to protect your creative IP at the AI boundary?
Talk to an Arbitex engineer about pre-release content detection, DMCA compliance controls, talent PII protection, and content classification for your studio, network, or streaming platform.