Continuous detection
Find unlabeled AI assistants, synthetic media, and transparency gaps before they become audit findings.
Article 50 transparency evidence, continuously monitored
Detect AI transparency gaps, generate the fix, and preserve the evidence your legal team needs—all from one live compliance workspace.

From the first scan to the evidence pack, every action stays connected and reviewable.
Find unlabeled AI assistants, synthetic media, and transparency gaps before they become audit findings.
Turn findings into reviewable GitHub pull requests, with the disclosure language and implementation already drafted.
Create defensible PDF reports, C2PA validation records, and a durable history of what changed and when.
Group sites into projects, screen releases in bulk, and monitor your transparency evidence from one command center.
Complianceshouldmoveatproductspeed.SentinelGoturnsachanginglegalobligationintoavisible,repeatableoperatingsystemforeveryrelease.
From signal to resolution
Legal gets traceability. Engineering gets specific changes. Leadership gets a live view of risk.
SentinelGo crawls public surfaces and manual text inputs, then maps observable evidence and potential gaps to Article 50.
Evidence-led findings separate potential disclosure gaps from questions that need product or legal confirmation.
Generate remediation code, publish evidence, and keep Pulse monitoring active as your product evolves.
Hover to see how SentinelGo connects the people responsible for compliance.
Article-level context, evidence trails, and exportable screening reports.
Concrete remediation, GitHub-ready changes, and clear technical context.
A portfolio-level picture of exposure, progress, and monitoring coverage.
Upgrade when your monitoring footprint grows. All prices are monthly.
Free
For a first look at your exposure.
Guardian
For teams shipping AI-enabled products.
Enterprise
For organisations managing a portfolio.
Article 50 transparency obligations become applicable in August 2026. Product and legal teams are auditing now so disclosures, machine-readable markers, and internal evidence are ready before enforcement begins.
No. GitHub auto-fix creates a reviewable pull request. Your team stays in control and decides whether to edit, approve, or merge the proposed remediation.
Pulse rechecks your registered properties for new AI surfaces and changed disclosures, then records the result so you can show an ongoing compliance process rather than a one-time scan.
Run a free scan, see the evidence, and know exactly what to fix next.
Start free auditAI Transparency: This platform uses AI systems for analysis and assistance.Learn more