X.509 certificate issuance via AWS KMS with private keys stored in HSM
Real-time behavioral monitoring and drift detection across eight risk dimensions
Content-risk scoring of agent outputs per EU AI Act Article 5
Automatic certificate revocation when risk crosses 0.85 threshold within 60 seconds
Compliance reports mapped to NIST AI RMF, NIST CSF 2.0, ISO 27001, MiCA, and EU AI Act
Public verification endpoint with sub-500ms response and no authentication required
OpenTelemetry (OTLP) export to Datadog, Grafana, Honeycomb, and Splunk
RFC 8693 delegation chains and signed forensics
Webhook event delivery with HMAC signatures and audit logging
AgentMail: verifiable email inbox per certified agent for regulatory communication
Incident response with agent investigation and pull request generation
Automated workflows triggered on schedules or webhooks
Agent summoning from GitHub, GitLab and Radicle with /ryph command
Semantic memory system for shared and persistent agent learning
Credentials kept behind gateways with no access in sandbox
Customized environments per repository with cached dependencies
Browser use for agent interactions with live watching
Artifacts and pages for reports and overviews
Deployment options from laptop to Kubernetes
Tool proxy with allowlisted MCP server integrations
What makes it different
Only platform that issues cryptographic identity to deployed agents, monitors behavior in real time, and generates compliance reports as one unified product
X.509 certificates provide institutional trust standard used by banks and governments for 30+ years
Auto-revocation with sub-60-second SLA stops misbehaving agents without manual intervention
Content-risk scoring evaluates agent output language, not just actions, catching prompt injections and policy violations
Private keys never accessible; stored only in AWS KMS with cryptographic signing performed by KMS directly
Agents work without holding real credentials or keys
Changes ship as patches that require review before merge
Runs on your own infrastructure from laptop to cloud
Semantic memory learns across runs with deduplication and contradiction handling
Built-in safety assuming agents can be manipulated or exploited
Kakunin
Ryph