What SSL/TLS did for the internet, STELR does for AI-generated content — sign, verify, and prove the origin of every AI output your organization produces, with an immutable chain of custody your compliance team can stand behind.
Was this AI-generated. Which model made it. Was it modified after the fact. Can it hold up in an audit, months later. Today, almost nothing answers that.
The EU AI Act, emerging U.S. state regulations, and enterprise customers writing AI-output provenance into their own contracts are turning "can you prove this was AI-generated, by which model, for which user, and that it hasn't been altered?" from a hypothetical into an audit requirement. STELR gives your security, compliance, and AI governance teams a cryptographically verifiable answer — not a policy document, a signed proof.
“The signature that makes AI content
and agent actions provable —
to someone who wasn't in the room.”
Your content, the signing keys, and the provenance ledger never leave your AWS account — STELR's own infrastructure never receives, processes, or stores it. What crosses the boundary is limited to a public verification key, billing metrics reported through AWS Marketplace, and, only if you opt in, a fixed set of content-free error telemetry. Nothing else.
Procure through your existing AWS commitment. Standard AWS contract terms — no new vendor risk review required.
Deployed entirely within your own AWS account and VPC. Your data never leaves your environment.
AWS Marketplace listing signals the security review, compliance baseline, and billing integration your procurement team already trusts.
The core trust platform. Cryptographic identity for every AI-generated artifact.
Verification APIs that confirm origin, integrity, and authorship on demand.
An immutable evidence and chain-of-custody record, queryable forever.
Compliance and governance enforcement, mapped to the regulation already arriving.
Every output is cryptographically signed at creation through STELR Provenance.
Confirm origin and integrity anytime through the STELR Verify API.
Pull audit-ready evidence from the STELR Trust Graph, months or years later.
# Sign a generation with STELR (runs inside your own AWS account)
curl -X POST "https://your-api-id.execute-api.us-east-1.amazonaws.com/customer/generate" \
-H "X-API-Key: <your-api-key>" \
-H "Content-Type: application/json" \
-d '{"prompt":"Your prompt here","max_tokens":200}'
# Verify a signed artifact
curl -X POST "https://your-api-id.execute-api.us-east-1.amazonaws.com/customer/verify/{content_id}" \
-H "X-API-Key: <your-api-key>" \
-H "Content-Type: application/json" \
-d '{"content":"<exact output text>"}'
Try it yourself, live demo →
STELR embeds audit-ready provenance and authenticity signals directly into your AI workflows.
Built for the industries where AI output provenance isn't a nice-to-have: financial services audit trails, healthcare AI-assisted documentation, legal AI-drafted work product, and government AI transparency mandates.
STELR is the trust and provenance layer for enterprise AI. It cryptographically signs AI-generated content at creation, and lets you verify its origin and integrity at any point afterward.
Provenance signs content at creation. Verify confirms origin and integrity on demand. Trust Graph stores the resulting evidence as an immutable, queryable record. Policy maps all of it to the compliance frameworks you already answer to.
Signing runs on AWS KMS with asymmetric keys. The architecture is multi-tenant and API-first from the ground up, with a growing set of enterprise controls as we onboard design partners.
Yes. STELR is live on AWS Marketplace today, with AWS Bedrock integration built. Reach out and we'll help you get started.