Agent and tool inventory
Map models, agents, tools, owners, users, integrations, and business decisions.
Paid AI security and governance product
Move AI from experiment to controlled production.
Identify security, governance, evaluation, cost, and deployment gaps before an AI agent or workflow reaches customers and sensitive business systems.
Assessment coverage
Data and prompt security
Review sensitive-data paths, prompt-injection exposure, retrieval boundaries, and output handling.
Human approval
Define actions that require review, escalation, override, and accountable ownership.
Evaluation and cost controls
Specify quality tests, failure thresholds, token budgets, rate limits, and model fallbacks.
Auditability
Design event records for prompts, tool calls, approvals, model versions, and consequential outputs.
Production architecture
Recommend deployment, secrets, isolation, observability, rollback, and optional OpenShift architecture.
Deliverables
Current-state risk register
Prioritised remediation plan
Control and approval matrix
Evaluation and observability plan
Recommended production architecture
Implementation proposal when requested
Optional Red Hat track
The architecture can evaluate RHEL, OpenShift, containers, Kubernetes controls, and Ansible automation where they fit the client environment.
Nanoneuron is not currently a Red Hat partner and does not claim Red Hat certification. Product names belong to their respective owners.
Evidence-based release decision
Four production gates
Inventory
Models, prompts, retrieval sources, agents, tools, owners, vendors, and data flows are recorded.
Security
Prompt injection, exfiltration, unsafe tool use, least privilege, secrets, and abuse limits are tested.
Evaluation
Versioned test datasets measure task success, groundedness, safety, latency, and cost against release thresholds.
Operations
Monitoring, human escalation, incident response, rollback, evidence retention, and recurring review have accountable owners.
Control mappings use NIST AI RMF and its Generative AI Profile, OWASP GenAI risks, and MITRE ATLAS as reference sources. A mapping is guidance, not certification or legal compliance.