See how Orca AI-SPM's public claims connect to security requirements and NIST AI RMF Playbook references.
What this page shows
Requirements connected to Orca AI-SPM's public claims
Only requirements with strong or limited public support appear. The framework references identify what to investigate; they do not establish implementation, conformance, certification, or product effectiveness.
VersionAI RMF 1.0 PlaybookCurrent source
Related requirements12security questions in this research
Security requirements with public support7strong or limited public support
References37identifiers, clauses, safeguards, or categories
How to use this map
Framework connections help structure your evaluation
Each connection shows how a security requirement relates to this framework. Public vendor claims are shown separately, and deployed effectiveness still requires confirmation or testing.
Closely aligned
6
Contributes
6
Requirement connections
From Orca AI-SPM's public claims to questions to verify
Each row starts with a security requirement that has public support, then shows the connected framework references and the next question to verify.
Closely alignedSpecific reference
AI usage inventory
Maintain an inventory of AI tools, services, models, agents, software as a service (SaaS) AI capabilities, data flows, and provider relationships.
Framework references
GOVERN 1.6 · MAP 1.1 · MAP 1.4
Lifecycle
Govern · Identify · Monitor
Security requirements with public support
2 requirements with public support
Strong public supportUnapproved AI use discovery
Discover and monitor workforce AI tools, accounts, prompts, domains, models, users, and usage outside approved controls.
Public claims reviewed
1
Next question to verify
An unmanaged AI app used by a test user appears in discovery inventory with user, app or domain, and timestamp.
Monitor approved AI workspaces, tenants, gateways, and model platforms such as ChatGPT Enterprise, Claude Enterprise, Gemini, Microsoft Copilot, Vertex AI, Elvex, or internal AI gateways.
Public claims reviewed
1
Next question to verify
Approved AI workspace activity appears with user, workspace or tenant, model or provider, and timestamp.
Monitor approved AI workspaces, tenants, gateways, and model platforms such as ChatGPT Enterprise, Claude Enterprise, Gemini, Microsoft Copilot, Vertex AI, Elvex, or internal AI gateways.
Public claims reviewed
1
Next question to verify
Approved AI workspace activity appears with user, workspace or tenant, model or provider, and timestamp.
Enforce policy against unapproved AI tools or unsafe AI interactions through blocking, coaching, allowlists, or runtime controls.
Framework references
GOVERN 1.2 · MAP 1.6 · MANAGE 2.4
Lifecycle
Protect · Deploy · Operate
Security requirements with public support
1 requirement with public support
Limited public supportGenerative AI application security
Protect enterprise-built large language model (LLM) applications, retrieval-augmented generation (RAG) systems, prompts, application programming interfaces (APIs), model calls, tools, and production runtime behavior.
Public claims reviewed
1
Next question to verify
A test large language model (LLM) application event records prompt, application programming interface (API), model, retrieval, or tool interaction context.
Protect enterprise-built large language model (LLM) applications, retrieval-augmented generation (RAG) systems, prompts, application programming interfaces (APIs), model calls, tools, and production runtime behavior.
Public claims reviewed
1
Next question to verify
A test large language model (LLM) application event records prompt, application programming interface (API), model, retrieval, or tool interaction context.
Monitor approved AI workspaces, tenants, gateways, and model platforms such as ChatGPT Enterprise, Claude Enterprise, Gemini, Microsoft Copilot, Vertex AI, Elvex, or internal AI gateways.
Public claims reviewed
1
Next question to verify
Approved AI workspace activity appears with user, workspace or tenant, model or provider, and timestamp.
Secure large language model (LLM) applications, retrieval-augmented generation (RAG) systems, prompts, tool calls, application programming interfaces (APIs), model interactions, and runtime behavior.
Framework references
MEASURE 2.7 · MEASURE 2.13 · MANAGE 4.1
Lifecycle
Develop · Test · Release · Deploy · Operate
Security requirements with public support
2 requirements with public support
Limited public supportGenerative AI application security
Protect enterprise-built large language model (LLM) applications, retrieval-augmented generation (RAG) systems, prompts, application programming interfaces (APIs), model calls, tools, and production runtime behavior.
Public claims reviewed
1
Next question to verify
A test large language model (LLM) application event records prompt, application programming interface (API), model, retrieval, or tool interaction context.
Maintain accountable AI inventory, policy, risk assessments, approvals, exceptions, regulatory mappings, third-party oversight, and audit evidence across the AI lifecycle.
Framework references
GOVERN 1.2 · GOVERN 1.6 · MANAGE 3.1
Lifecycle
Govern · Identify · Assess · Approve · Monitor
Security requirements with public support
2 requirements with public support
Strong public supportAI governance, risk, and compliance
Inventory AI systems and owners, translate policy and regulatory obligations into governed workflows, assess risk, manage approvals and exceptions, and retain audit evidence across the AI lifecycle.
Public claims reviewed
1
Next question to verify
A test AI system is registered with owner, intended use, risk tier, lifecycle state, and applicable obligations.
Monitor approved AI workspaces, tenants, gateways, and model platforms such as ChatGPT Enterprise, Claude Enterprise, Gemini, Microsoft Copilot, Vertex AI, Elvex, or internal AI gateways.
Public claims reviewed
1
Next question to verify
Approved AI workspace activity appears with user, workspace or tenant, model or provider, and timestamp.
AI assurance, red teaming, and supply-chain security
Test models, applications, retrieval-augmented generation (RAG) systems, agents, coding workflows, and AI artifacts before release and continuously thereafter, with reproducible findings and remediation gates.
Framework references
MEASURE 2.7 · MEASURE 2.13 · MANAGE 4.1
Lifecycle
Develop · Test · Release · Monitor
Security requirements with public support
1 requirement with public support
Strong public supportAI model and supply-chain security
Discover, inventory, scan, validate, and monitor models, datasets, model artifacts, registries, dependencies, and AI development assets for tampering, unsafe serialization, provenance gaps, or malicious content.
Public claims reviewed
1
Next question to verify
A test model or AI artifact appears in inventory with origin, version, hash or provenance, and deployment context.
Observe agent steps, plans, goals, memory, delegation, tool use, and anomalies during runtime.
Framework references
MEASURE 2.4 · MEASURE 3.1 · MANAGE 4.1
Lifecycle
Operate · Monitor · Detect
Security requirements with public support
1 requirement with public support
Limited public supportNon-human identity and service-account security
Inventory, least privilege, credential hygiene, monitoring, and lifecycle management for non-human identities, workloads, service accounts, application programming interface (API) keys, and machine credentials.
Public claims reviewed
1
Next question to verify
A test service account, agent identity, or non-human identity appears in inventory with owner and privileges.
Secure trust, authorization, message flows, tool access, and communication between agents, tools, application programming interfaces (APIs), and external services.
Framework references
MEASURE 2.7 · MAP 4.2 · MANAGE 4.1
Lifecycle
Identify · Protect · Deploy · Monitor
Security requirements with public support
1 requirement with public support
Limited public supportGenerative AI application security
Protect enterprise-built large language model (LLM) applications, retrieval-augmented generation (RAG) systems, prompts, application programming interfaces (APIs), model calls, tools, and production runtime behavior.
Public claims reviewed
1
Next question to verify
A test large language model (LLM) application event records prompt, application programming interface (API), model, retrieval, or tool interaction context.
non-human identity (NHI) and AI-agent identity governance
Manage identities, credentials, privileges, secrets, service accounts, and lifecycle for AI agents and other non-human identities.
Framework references
GOVERN 6.1 · MAP 4.2 · MANAGE 3.1
Lifecycle
Govern · Protect · Deploy · Operate
Security requirements with public support
1 requirement with public support
Limited public supportNon-human identity and service-account security
Inventory, least privilege, credential hygiene, monitoring, and lifecycle management for non-human identities, workloads, service accounts, application programming interface (API) keys, and machine credentials.
Public claims reviewed
1
Next question to verify
A test service account, agent identity, or non-human identity appears in inventory with owner and privileges.
Attribute AI usage and spend to accountable owners, workflows, agents, models, and business units while enforcing budget, rate-limit, and routing controls.
Framework references
GOVERN 1.6 · MAP 1.4 · MANAGE 3.2
Lifecycle
Govern · Operate · Optimize
Security requirements with public support
2 requirements with public support
Strong public supportApproved AI usage monitoring
Monitor approved AI workspaces, tenants, gateways, and model platforms such as ChatGPT Enterprise, Claude Enterprise, Gemini, Microsoft Copilot, Vertex AI, Elvex, or internal AI gateways.
Public claims reviewed
1
Next question to verify
Approved AI workspace activity appears with user, workspace or tenant, model or provider, and timestamp.
Review source claims →Limited public supportNon-human identity and service-account security
Inventory, least privilege, credential hygiene, monitoring, and lifecycle management for non-human identities, workloads, service accounts, application programming interface (API) keys, and machine credentials.
Public claims reviewed
1
Next question to verify
A test service account, agent identity, or non-human identity appears in inventory with owner and privileges.
This page organizes research. Audit conclusions, certification assessments, control implementation statements, and vendor endorsements require separate evidence.