Connected GRC Context
Ground every AI response in a unified semantic memory built from the Context Engine, GRC knowledge graph, and domain reasoner, and not disconnected fragments.
MetricStream AI
AgentStream
AgentStream is MetricStream’s AI inside our deep-domain products and platform, delivering context-aware assistants, agents, insights, and recommendations.
Three Pillars of AI-Powered Risk Management
Governed Intelligence
Route every AI interaction through identity checks, entitlements, guardrails, human-in-the-loop approval, and audit trails enforced as architectural constraints.
Model-Agnostic & Interoperable
Bring approved LLMs and connect agents across the enterprise through open MCP and A2A protocols.
Measurable Outcomes of a Connected, Agentic GRC Platform
133%
ROI over three years
$8.4M
In three-year, risk-adjusted present-value benefits
< 6 Months
Payback period
Source: The Total Economic Impact™ Study of MetricStream Enterprise GRC
Amplifying GRC Outcomes With Context-Aware AI
Put AI to Work Across Every GRC Decision
Help Risk, Audit, Compliance, & Cyber Teams Work Faster With Domain-Specific Assistants
The domain-specific assistants bring AI directly into the flow of work through three modes: easy navigation of the application using natural language and Q&A; insights into your risk, policy, audit, compliance, and cyber data; and AI-driven workflows that automate manual-intensive work. Built on the AG-UI and A2UI protocols, the Assistant renders securely within your existing MetricStream experience, with every interaction authenticated, authorized, and observable.
From Generic AI Tools to Governed, Context-Aware GRC Intelligence
AI Capability
Traditional Enterprise AI
MetricStream AgentStream
User Experience
Users switch between GRC systems and separate AI tools
Assistants provide contextual guidance within the GRC work that users already perform
Recommendations
AI suggestions lack business, regulatory, and GRC context
Graph-based recommendations identify relevant relationships, priorities, and next steps
Context
AI relies on disconnected documents, generic prompts, and isolated data
Connected GRC context links risks, controls, policies, assets, issues, evidence, metrics, and organizational entities
Model Access
AI models are adopted separately from GRC workflows
A model-agnostic gateway and inference APIs support AI within MetricStream workflows
Workflow Action
Insights stop at dashboards or manual handoffs
Agents can support defined workflow tasks with configured rules, permissions, and approvals
Reporting
Static reports provide periodic snapshots
Real-time dashboards and contextual analytics support faster decisions
Why AgentStream
Built on Deep GRC Context
Ground AI in unified semantic memory with GRC knowledge graph, vector-based RAG pipelines, and a domain reasoner across risks, controls, policies, and evidence, with provenance.
Purpose-Built for GRC
Deploy specialist agents across enterprise risk, operational risk, regulatory compliance, audit, cyber, third-party risk, policy, and business continuity, each grounded in the connected context for its domain.
Embedded in the Flow of Work
Bring the MetricStream Assistant and its domain-specific agents, plus governed inference APIs, into the products your teams already use, with no separate AI tool to learn.
Governed by Design
Enforce role-based access, configurable guardrails, human-in-the-loop approval, and golden-dataset testing, backed by SOC 2 Type II and ISO 27001 attestations.
Flexible for Enterprise AI Strategy
Use a model-agnostic Model Gateway with Bring-Your-Own-Model support for OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, and more, aligned to your agreements.
Ready for Connected Ecosystems
Extend governed AI across the enterprise with MCP for tool access and A2A for agent-to-agent communication, with GRC supplying the control semantics throughout.
See What MetricStream GRC Could Be Worth to Your Organization
Use our interactive ROI calculator, built by Forrester, to estimate what Enterprise GRC could deliver for your organization. Enter details such as annual revenue, number of GRC tools, and compliance exposure to see your potential savings, payback period, and return on investment.
Calculate My ROIInsights to Elevate Your AI and GRC Program
Analyst Report
Forrester Total Economic Impact™ Study 2026
New Forrester TEI Study: 133% ROI, $8.4M in benefits from MetricStream Enterprise GRC. Read now.
Download Now
eBook
AI-First Cyber GRC: The CISO's Guide to Continuous Risk Intelligence
A CISO's guide to outsmarting cyber risk before it outsmarts you.
Read More
Case Study
U.S. Federal Regulatory Agency Safeguards Credit Union System with MetricStream
Discover how a US federal agency used MetricStream to streamline credit union audits, enhance risk visibility, and improve regulatory exam efficiency across 6,500+ institutions.
Read More
Whitepaper
Unlocking AI Value in GRC
Learn how GRC leaders are adopting AI responsibly and proving measurable ROI at scale.
Read MoreQuestions GRC, Technology, and AI Leaders Ask
AgentStream is Artificial Intelligence inside MetricStream’s deep-domain products and platform, delivering context-aware assistants, agents, insights, and recommendations. It brings together deep GRC context, assistants, agents, inference APIs, enterprise governance, model access, and ecosystem connectivity to support AI-powered work across risk, compliance, audit, cyber, third-party risk, policy, and resilience.
MetricStream Assistant is a user-facing capability that helps users navigate, understand information, retrieve authorized data, and capture records. An AgentStream agent is a domain-specific capability designed to perform defined, multi-step work within configured workflows, permissions, and governance boundaries.
AgentStream's Context Engine assembles semantic memory from a GRC knowledge graph, vector-based RAG pipelines, and a domain reasoner to understand relationships across GRC records, including risks, controls, regulations, policies, assets, processes, issues, actions, evidence, metrics, losses, third parties, and organizational entities, with full provenance.
No. AgentStream is designed to support professionals, not replace their judgment. Users can review, edit, accept, reject, or override consequential AI outputs, while authorized professionals remain accountable for final decisions.
Every AgentStream interaction passes through a governed request path: identity verification, entitlement filtering, configurable guardrails (PII/PHI redaction, content and toxicity filtering, prompt-injection protection, grounding checks, bias detection, and rule enforcement), human review, observability, and audit tracing. An AI Review Board and Model Risk Committee oversee AI operations, reviewing monitoring signals and model performance. The platform is built on MetricStream's security foundation, backed by SOC 2 Type II and ISO 27001 attestations, and is designed to align with emerging AI governance frameworks, including the EU AI Act, NIST AI RMF, and ISO/IEC 42001.
AgentStream includes a model-agnostic gateway and inference API foundation designed to support enterprise model requirements. Specific model and deployment options should be validated with MetricStream based on customer architecture, security, and product scope.
Yes. AgentStream is designed to work with connected enterprise systems through MetricStream APIs, connectors, and integration services. This can include security, ITSM, regulatory intelligence, third-party, procurement, analytics, and other enterprise systems.
AgentStream’s ecosystem direction supports governed interaction between MetricStream agents and approved agents or systems built and deployed by customers and partners. Availability depends on release, integration design, permissions, and customer environment.
MetricStream’s AI approach includes response evaluation, user feedback, traceability, performance monitoring, prompt governance, and ongoing managed services designed to assess output relevance, accuracy, quality, and drift.
MCP is an open protocol for governed tool access. AgentStream registers MCP servers as tool providers, enabling agents to retrieve evidence, trigger platform operations, and interact with enterprise systems through standardized, auditable calls, without bypassing entitlements or access controls.
Yes. AgentStream uses A2A protocols for structured inter-agent communication, enabling specialist agents to coordinate and hand off work across domains and, where approved, with agents built and deployed by customers and partners.
Yes. The Model Gateway's Bring-Your-Own-Model (BYO-Model) capability lets you connect approved providers, including OpenAI, Anthropic, AWS Bedrock, and Azure OpenAI, using your own enterprise agreements, API keys, and security controls, avoiding lock-in to any single provider.
AgentStream is built on MetricStream's security foundation, backed by SOC 2 Type II and ISO 27001 attestations, with full tenant isolation, no cross-customer model training, and encryption in transit and at rest.
Grounding checks verify retrieval-augmented outputs against the source material, the Domain Reasoner enforces GRC-specific logic, and every AI use case is validated against a purpose-built golden dataset before deployment and continuously monitored against sampled live traffic in production.