Deployer Duties
7 articles
Articles
25 September 2026
Article 50 AI Act: Marking Outputs with C2PA & SynthID
Article 50 of the EU AI Act imposes strict transparency obligations on generative media, splitting machine-readable marking from visible disclosure. Here is how C2PA, SynthID, and embedded metadata satisfy the rule, and why compliance is a pipeline decision you must own.
25 September 2026
Provider or Deployer? AI Act Roles for Inference Engines
For teams building on a third-party inference engine, EU AI Act compliance starts with a counterintuitive fact: you are likely both a deployer of the upstream models and the provider of the AI system you ship.
23 September 2026
EU AI Act for Developers: A Practical Compliance Checklist (2026)
The EU AI Act assigns strict technical duties based on your role, but reading the legislation isn't practical. This routing hub indexes exactly which compliance obligations apply to your engineering team and links to the specific technical guides for implementation.
21 September 2026
Do You Need a DPIA for LLM Inference? A Deployer's Guide
Before shipping an LLM feature, you need to know if sending prompts to an API triggers a DPIA. This guide clarifies that the DPIA is a GDPR instrument, not an AI Act one, and maps exactly how to extract the 4 mandatory compliance inputs from your inference provider.
14 September 2026
AI Act Article 26: Deployer Logging & 6-Month Retention Explained
For high-risk AI deployers, Article 26(6) requires keeping system logs for at least six months. When using a zero-retention API, the provider stores nothing, meaning this logging capability must be built entirely within your own application.
14 June 2026
GDPR and EU AI Act Overlap: Technical Guide for AI Infrastructure
Securing personal data is no longer enough. Engineering teams must now architect their machine learning pipelines to meet stringent product safety and risk management standards.
12 June 2026
EU AI Act Compliance Timeline: Navigating the August 2026 Deadlines
August 2026 remains a hard deadline for transparency, GPAI enforcement, and data governance. Engineering teams must secure their infrastructure now to avoid severe penalties.