# Speakeasy
*Also known as Speakeasy*

- Website: https://www.speakeasy.com
- Agent profile: https://boon.ai/agents/speakeasy-com

> Enterprise-grade platform for secure AI governance and observability across an organization.

Speakeasy is a technology company that provides an enterprise-grade governance and security platform to scale AI across organizations. The company started in developer tooling and has evolved into a central control layer that helps enterprises securely connect AI agents to internal systems, enforce access controls and policies, centralize monitoring, and maintain an auditable log of AI activities. The audience includes security, IT, product, and engineering teams seeking to enable safe AI adoption at scale.

**Mission:** Give enterprises the control to scale AI securely.

## Products & Services

### [AI Control Plane](https://www.speakeasy.com/product/ai-control-plane)
*Platform*
Centralize and govern AI usage across your organization effortlessly.

- **Agent Access Controls** — Govern Actions
- **Approved MCP Server Catalog** — Empower Teams With Approved Servers
- **MCP Gateway Catalog** — Simplify Access With One Gateway
- **Data Leak Prevention** — Prevent Leaks
- **Audit Trail** — Ensure Transparency And Compliance
- **Agent Monitoring** — Monitor Usage
- **MCP Gateway** — Centralize Management
- **Risky Action Prevention** — Mitigate Risks
- **RBAC Down To Tool** — Control Access At The Tool Level
- **Shadow AI Detection** — Identify Shadow AI
- **SSO Integration** — Streamline User Onboarding
- **Usage Explorer** — Monitor Resource Utilization
- **Editable Gateway Instructions** — Customize User Guidance

### [API Platform](https://app.speakeasy.com/)
*Platform*
Streamline API development and integration for enhanced AI control and governance.

- **SDKs** — Rapid Development with SDKs
- **CLI** — Manage APIs Directly from Terminal
- **Terraform** — Infrastructure as Code Support
- **Docs MCP** — Agent-Friendly Documentation
- **Resource Library** — Access Comprehensive Resource Library

## Market Segments

- **AI governance and compliance** (market size $2.2B, CAGR 30%): Frameworks and controls to govern AI assets, manage model risk, enforce policies, ensure explainability and auditability, and support regulatory compliance.
- **AI agent identity governance** (market size $1.6B, CAGR 20.9%): Governance and access controls for machine and AI agent identities, including agent provisioning, cross-application access policies, and auditability for autonomous agents.
- **AI agent orchestration** (market size $622M, CAGR 42.5%): Orchestration and composition of domain-specific AI agents, connectors, and automated workflows to create agentic experiences across enterprise functions.
- **Agent lifecycle management** (market size $800M, CAGR 30%): Platform and developer capabilities to design, version, test, and deploy AI agents, including git-native workflows, reusable agent templates, and rapid deployment pipelines.

## Ideal Customer Profiles

### Global Enterprise AI Governance And Security
Global enterprises scaling AI with centralized governance.
- Industry: Technology, Financial Services, Healthcare, Manufacturing
- Geography: Global
- Pain points: Lack of centralized control over AI agents; difficulty enforcing policies; data leakage risk; limited observability and cost visibility; shadow AI risk
- Business goals: Scale AI safely; enforce policies; gain end-to-end visibility; reduce security and compliance risk
- Positioning: Provides a centralized governance and security layer that enforces policies, monitors usage, and prevents data leaks as AI agents scale across the organization.

#### Persona: Chief Information Security Officer
- Needs: Auditable AI governance, real-time risk alerts
- Goals: Ensure enterprise-wide AI security and regulatory compliance
- Challenges: Balancing security with agile AI deployment
- Pain points: Lack of centralized governance; slow approvals; fragmented logs
- Solution: An integrated governance plane delivers policy enforcement, audit trails, and real-time monitoring across AI agents

#### Persona: Head Of Compliance And Risk
- Needs: Audit-ready reports, policy templates
- Goals: Maintain regulatory compliance with scalable AI
- Challenges: Regulatory changes; data lineage
- Pain points: Manual evidence collection; inconsistent controls
- Solution: A centralized audit and policy enforcement framework provides ready reports and consistent controls to satisfy regulatory requirements

#### Persona: Platform Security Architect
- Needs: Standardized controls at tool level, visibility
- Goals: Design secure AI deployment at scale
- Challenges: Tool sprawl; integration complexity
- Pain points: Difficult to enforce per-tool access; auditing across tools
- Solution: RBAC down to tool, audit trails, and DLP ensure secure, compliant deployments

### Platform Teams In Large Enterprises
Technology teams building AI-enabled products require governance and security at scale.
- Industry: Technology, Software, Cloud Services
- Geography: Global
- Pain points: Inconsistent standards across teams; difficulty distributing approved MCPs and skills; limited visibility into AI usage and costs; shadow AI and uncontrolled tool adoption
- Business goals: Standardize AI components and workflows; accelerate secure AI delivery; improve observability and cost transparency; reduce operational risk
- Positioning: Enables platform teams to securely scale AI components with standardized governance, visibility, and policy enforcement across the organization.

#### Persona: Platform Engineer
- Needs: Pre-approved MCPs, clear guidelines
- Goals: Deliver scalable AI features securely
- Challenges: Tool sprawl and approval bottlenecks
- Pain points: Lack of centralized MCP catalog; inconsistent tooling
- Solution: A centralized MCP gateway and catalog streamline secure deployments

#### Persona: Head Of AI Platform
- Needs: Policy-driven controls, cost visibility
- Goals: Scale AI across teams while maintaining governance
- Challenges: Policy drift; balancing speed and control
- Pain points: Fragmented governance across teams
- Solution: RBAC and audit capabilities enable consistent policy enforcement and visibility

#### Persona: Security Engineer
- Needs: Access controls down to individual tools; real-time risk signals
- Goals: Prevent data leakage; detect abnormal usage
- Challenges: Shadow tools; insufficient logging
- Pain points: Limited per-tool RBAC; incomplete monitoring
- Solution: Data leak prevention, shadow AI detection, and audit logs

### Regulated Industry Compliance Leaders
Compliance and risk leaders in finance and healthcare ensuring auditable AI governance.
- Industry: Financial Services, Healthcare
- Geography: Global
- Pain points: Regulatory requirements for AI and data handling; auditing and reporting burdens; data access governance and lineage
- Business goals: Maintain compliance; reduce audit findings; improve data governance and transparency
- Positioning: Helps regulated organizations meet AI governance, auditability, and risk management requirements at scale.

#### Persona: Chief Compliance Officer
- Needs: Audit-ready evidence, regulatory templates
- Goals: Prove and maintain compliance
- Challenges: Regulatory changes; complex data flows
- Pain points: Manual evidence gathering; fragmented controls
- Solution: Centralized policy enforcement and audit trails streamline compliance

#### Persona: CISO
- Needs: Real-time risk monitoring and data protection
- Goals: Protect sensitive information and stay compliant
- Challenges: Budget constraints; vendor risk
- Pain points: Shadow AI; inconsistent controls
- Solution: DLP, access controls, and comprehensive logs support risk reduction

#### Persona: IT Risk Manager
- Needs: Risk dashboards and audit-ready reports
- Goals: Reduce audit findings
- Challenges: Manual processes
- Pain points: Time-consuming data collection
- Solution: Observability and reporting across AI activity

### Mid-Market Enterprises Scaling AI
Mid-market firms expanding AI use require secure, scalable governance.
- Industry: Technology, Manufacturing, Services
- Geography: Global
- Pain points: Limited internal security coverage; lack of centralized policy enforcement; data leakage risk; auditability gaps
- Business goals: Adopt AI at scale with governance; reduce risk; accelerate time-to-value
- Positioning: Enables mid-market organizations to safely scale AI with centralized governance, policy enforcement, and full visibility.

#### Persona: IT Security Manager
- Needs: Strong access controls, data protection
- Goals: Secure AI deployments
- Challenges: Resource constraints; patch management
- Pain points: Manual processes; inconsistent controls
- Solution: RBAC and DLP with audit logging support secure deployments

#### Persona: Platform Engineer
- Needs: Standardized MCPs and templates
- Goals: Deliver secure AI features fast
- Challenges: Tool fragmentation and approvals
- Pain points: Inconsistent standards
- Solution: Centralized catalog and gateway streamline secure deployments

#### Persona: DevOps Lead
- Needs: Efficient pipelines and governance
- Goals: Faster time-to-market
- Challenges: Policy friction
- Pain points: Delays due to governance
- Solution: Policy enforcement and observable metrics enable faster delivery