AI Agent Governance Platform
The system of record for enterprise AI agents — and every asset they depend on.
Starting with a complete, living catalog of every AI agent, model, prompt, and tool across your clouds — so you can discover, reuse, and govern them, accelerating both regulatory and internal compliance.
Early access · No commitment · SOC 2 Type II
AI Agent Catalog
43 agents · 127 assets · 12 teams
support-agent-v2
Customer AI
sales-outreach-agent
Sales AI
fraud-detection-v3
ML Platform
rag-support-bot
Product AI
Lineage — fraud-detection-v3
Quick answer: WiseRegent is an AI agent catalog and governance platform — the system of record for every AI agent, model, prompt, and dataset an enterprise operates. It helps teams discover shadow AI agents, govern autonomous actions, and prove compliance with frameworks like the EU AI Act, NIST AI RMF, and ISO 42001.
WiseRegent is in early access — invitations now open.
Be the first to govern your AI agents. Shape the product. Lock in founding rates.
The Problem
You can’t govern what you can’t see.
You’ve registered your models. But who’s cataloging your agents? Enterprises are deploying autonomous AI agents far faster than they can govern them — with no inventory of what those agents can do, what tools they call, or whether anyone approved them. And without a catalog, teams keep rebuilding what already exists. That same visibility gap doesn’t just stall regulator readiness — it stalls your own internal security, privacy, and vendor-risk reviews too.
Shadow agents everywhere
Teams deploy autonomous agents without central oversight. Your real AI agent footprint is larger — and riskier — than your CISO or board realizes.
Ungoverned autonomous actions
Agents call tools, query databases, and write to systems on behalf of users — with no audit trail, no approval workflow, and no record of what they can access.
No inventory of agent capabilities
AI agents are scattered across frameworks, clouds, and teams — with no single owner, no record of their tools or permissions, and no risk rating.
Duplicated, rediscovered agents
Teams rebuild agents and tools that already exist because there’s no searchable catalog. Every team reinvents the wheel — wasting sprints and compounding shadow AI.
Industry analysts estimate that over 60% of enterprise AI deployments lack formal governance, documentation, or risk classification.
How It Works
From shadow AI to a single source of truth.
You can’t govern what you can’t see. Discover and catalog first — governance follows naturally.
Discover
Automatically surface every AI asset across all your clouds, clusters, and SaaS tools — including the ones nobody registered.
Catalog
Auto-enrich each asset with metadata, lineage, ownership, version history, and business context — no spreadsheet required.
Govern
Apply policy-as-code, automate approvals, and enforce standards at every stage — before anything reaches production.
Prove
Generate audit-ready evidence, one-click compliance reports, and signed board-level attestations on demand.
The Agent Gap
Your AI agents have no system of record. Until now.
Model and data registries are mature and valuable — they manage models and datasets well. But AI agents, and the prompts, tools, MCP servers, and permissions that make them work, have no catalog, no system of record, no governance layer. Every team is managing them in spreadsheets, wikis, or not at all.
WiseRegent is the first unified system of record for all AI assets — agents, models, prompts, tools, datasets, and vector indexes across every cloud and framework. It integrates with your existing registries (MLflow, Unity Catalog, SageMaker, and more) rather than replacing them, adding the agent and multi-asset governance layer they were never built for.
What WiseRegent catalogs per agent:
- Identity — Name, version, owner, LLM backbone, description
- Tools & MCP — Every tool call, MCP server, and API the agent can invoke
- Prompts — System prompt, retrieval configs, and version history
- Permissions — Data access scope, credential bindings, and entitlements
- Lineage — Models, datasets, and vector indexes the agent depends on
- Risk & actions — Risk tier, autonomous action audit log, approval status
AI Asset Coverage
One system of record for agents, models, prompts, tools & data — not another silo.
Works with your existing stack. WiseRegent integrates with MLflow, Unity Catalog, SageMaker, and more — your registries stay put; WiseRegent adds the agent and multi-asset governance layer they were never built for.
The Platform
Everything you need to govern AI — nothing you don’t.
The category-defining capability enterprises have been missing. Register every AI agent with its tools, MCP connections, prompts, permissions, and risk tier. Define what agents can do — and prove it to auditors. Works alongside your existing registries — MLflow, Unity Catalog, and more.
Unified Asset Catalog
Discover and inventory every AI asset — agents, models, prompts, datasets, and vector indexes — across all your clouds with full provenance.
ExploreGovernance & Policy Engine
Define policy as code, automate approval workflows, and generate an immutable audit trail for every decision.
ExploreCompliance Packs
Pre-built controls for external frameworks (EU AI Act, NIST AI RMF, ISO 42001, RBI, DPDP) and internal ones (security, privacy, TPRM) — activated in minutes.
ExploreIntegrations
Connect your existing ML stack without rip-and-replace. 50+ native connectors, open APIs, and an MCP server.
Discover & Reuse
Find it. Reuse it. Don’t rebuild it.
You can’t govern what you can’t see — and you can’t reuse what you don’t know exists. WiseRegent starts with a complete, living catalog so engineers spend time building, not rediscovering.
Find what already exists
Natural-language and faceted search across every agent, model, prompt, and tool in your org. Before rebuilding, engineers see what's already trusted, versioned, and in production.
Reuse trusted assets
Promote production-ready agents and tools to your team-wide catalog. Others discover, fork, and build on work that's already governed — compounding value without compounding risk.
See full lineage before you depend on it
Every catalog entry shows what it calls, what data it accesses, and what depends on it downstream — so engineers can make informed reuse decisions, not guesses.
One catalog, every cloud
Agents, models, prompts, tools, datasets, and vector indexes — discovered across AWS, Azure, GCP, Databricks, and 50+ other platforms. All types. All clouds. One searchable inventory.
customer-support-agent
AI Agent · CX Team
fraud-detection-v3
ML Model · Risk
sales-outreach-agent
AI Agent · Sales AI
docs-retrieval-mcp
MCP Tool · Platform
Product preview
Built for Your Role
WiseRegent speaks your language.
Whether you ship models, run pipelines, own compliance, or answer to the board — WiseRegent gives you exactly what you need.
Find it. Reuse it. Govern it. Without slowing down.
- Search the catalog before you build — find and reuse trusted agents instead of rebuilding from scratch.
- Register any agent with its tools, MCP connections, and permissions in seconds; metadata auto-detected from your framework.
- See full lineage of what an agent calls, what data it touches, and who owns it — at a glance.
customer-support-agent · registered
Lineage & Provenance
See exactly where every AI asset came from — and where it's going.
WiseRegent automatically builds and maintains a complete provenance graph for every model, agent, dataset, and prompt in your organization. Every upstream dependency, every downstream consumer, every transformation — tracked without manual documentation.
- Auto-discovered lineage from MLflow, SageMaker, Vertex AI, Unity Catalog, and 50+ frameworks.
- Visualize training data sources, feature stores, evaluation runs, and checkpoint history.
- Trace every downstream consumer — every API, product, or service that depends on your models.
Lineage — fraud-detection-v3
3 upstream · 1 downstream · last synced 2 min ago
Governance & Policy Engine
Define policies once. Enforce them everywhere.
Write governance rules as code using WiseRegent's declarative policy language. Assign risk tiers, require approvals, mandate documentation, and prohibit unsafe behaviors — then watch them enforced automatically across every team and every cloud.
- Policy-as-code: version, review, and deploy governance rules like any other software.
- Risk-tier routing: automatically assign approval workflows based on model risk classification.
- Real-time enforcement: policy gates fire on every register, update, and deployment event.
Policy: High-Risk AI Deployment
fraud-detection-v3 · Step 2 of 3
Submitted
Auto-triggered on register
ML Lead Review
Sarah Chen · 46 h remaining
CAIO Approval
Triggers on step 2 complete
Awaiting ML Lead Review
Assigned to Sarah Chen · 2 hours ago
Compliance Packs
Prove compliance in a report, not a project.
WiseRegent maps your AI assets to external regulatory requirements and internal control frameworks in real time. When an auditor — or your own Security, Privacy, or Internal Audit team — asks what AI systems you have, what controls are in place, and who approved each decision, you click generate, not launch a 3-month evidence-collection sprint.
- Live framework coverage: EU AI Act, NIST AI RMF, ISO 42001, RBI, DPDP, and more.
- Internal control coverage: security posture, privacy impact, third-party AI risk, and model-risk tiering — the same evidence, one catalog.
- Evidence auto-collected from governance events, approvals, policy checks, and audit logs.
- Export audit packages as PDF, structured JSON, or direct GRC tool integration.
Compliance Center
127 assets trackedEvidence: 247 documents
Last sync: 4 minutes ago
Governance you can trust — starting with ours.
AI governance buyers don’t just want capability. They need to trust the platform they put between themselves and their regulators.
SOC 2 Type II
Independently audited each year for security, availability, and confidentiality. Report available on request.
Your cloud. Your region.
Deploy WiseRegent in your own cloud account or preferred region. We never move your data without explicit consent.
Vendor-neutral
Open APIs, no lock-in. WiseRegent works alongside your existing ML stack — not instead of it.
Zero training on your data
WiseRegent processes governance metadata and policy signals — never your raw models, weights, or training data.
Integrations
Plugs into your existing stack. No rip-and-replace.
50+ native connectors covering ML platforms, LLMs, data infrastructure, CI/CD pipelines, and open standards — with more added every sprint.
Beyond Regulators
One AI system of record. Every compliance job — external AND internal.
The same catalog that proves regulatory compliance also feeds your internal Security, Privacy, and Third-Party Risk reviews — turning weeks of manual evidence-gathering into always-on answers.
Security & AppSec
Every agent's tools, credentials, and data access, cataloged. Run least-privilege and posture reviews on your AI in minutes, not weeks.
Privacy (DPDP / GDPR)
Know exactly which AI agents and models touch personal data. Automate privacy impact assessments and answer DSARs with lineage, not guesswork.
Third-Party & Vendor AI Risk (TPRM)
External models, APIs, and agents are first-class cataloged assets — continuous vendor-AI risk, not stale annual questionnaires.
Internal Audit & Controls
Immutable audit trail, approvals, and evidence already captured — produce internal control evidence on demand.
Model / AI Risk (e.g. RBI MRM)
A single, lifecycle-governed inventory of every model and agent with risk tiering built in.
WiseRegent feeds your existing Security, Privacy, and GRC programs with the AI asset intelligence they’re missing — it doesn’t replace them.
Pricing
Start free. Scale as you govern.
Your first 25 AI agents and assets are always free — no credit card, no time limit.
Discover free — govern as you grow.
Free
Discover and catalog every AI agent and model — see your shadow agents in 15 minutes.
$0
forever
- 25 governed assets
- 3 seats · 1 connector
- Shadow AI detection
- Community support
Pro
Add governance, lineage, and policy as your AI estate grows.
$40
/ user / month
- 500 assets · 10 seats
- Lineage graph + catalog-as-code
- Policy engine + SSO
- 1-year audit trail
Business
Full governance, compliance, and ROI dashboards at scale.
$99
/ user / month
- 5,000 assets · 50 seats
- Full policy engine + workflows
- ROI dashboards · 3-yr audit
- Compliance packs (add-on)
Need single-tenant or BYOC/Hybrid deployment?
Enterprise plans include all compliance packs, unlimited assets, RBAC+ABAC, and dedicated support.
Talk to sales about EnterpriseFAQ
Common questions about AI agent governance
What is an AI agent catalog?
An AI agent catalog is a centralized, continuously updated inventory of every autonomous AI agent an organization runs — including the tools it can call, its MCP connections, prompts, permissions, and risk tier. It answers "what AI agents exist, what can they do, and who approved them" in one place, instead of scattered spreadsheets and tribal knowledge.
How do I find shadow AI agents?
Connect your clouds and ML platforms to WiseRegent's Unified Asset Catalog, which automatically scans for agent frameworks (LangChain, CrewAI, AutoGen, OpenAI Assistants, Bedrock Agents) and surfaces any agent running without a registered owner, approval, or risk classification — typically within minutes of connecting the first integration.
AI agent governance vs. model registry — what's the difference?
A model registry tracks model versions, training data, and metrics — it answers "what model is this?" AI agent governance goes further: it tracks what an agent can autonomously do — which tools it calls, what data it can access, what actions it can take on a user's behalf — and enforces policy and approval workflows around that behavior. WiseRegent covers both, but agent governance is the layer most organizations are missing.
How do I comply with the EU AI Act for AI agents?
Start by inventorying every AI agent and classifying it under EU AI Act risk tiers (Annex III for high-risk use cases). WiseRegent's Compliance Packs automatically map cataloged agents to the relevant obligations — risk management, data governance, technical documentation, human oversight, and accuracy monitoring — and auto-collect evidence from governance events, turning multi-month audit prep into a generated report.
What is a system of record for AI?
A system of record for AI is the single authoritative source of truth for every AI asset an enterprise operates — agents, models, prompts, and datasets — including who owns each one, what it can do, its lineage, and its governance/compliance status. The same way a CRM is the system of record for customers, WiseRegent is designed to be that system of record for AI.
Early access open
Govern your AI agents
before your auditors do.
Join the early-access programme. Shape the roadmap. Lock in founding rates. No credit card, no commitment.