Public-source research
Vendor evidence
Review what vendors say publicly, the exact quoted source text, the security requirement each statement may support, and what still needs verification.
Research library coverageCounts describe the research workflow, not vendor quality or product effectiveness.View details
Evidence records1280
Source checked863
Needs verification0
Source captured0
No supporting claim found411
Excluded from evidence6
Showing 81–100 of 1280 evidence records
Speakeasy claims real-time blocking, redaction, or logging of sensitive data in prompts, responses, and agent actions.
Sensitive data is blocked, redacted, or logged
Related framework references (5)
Speakeasy AI Control Plane materials reviewed did not provide a public claim for session-level browser or software as a service (SaaS) controls for employee AI use.
No quoted source text is recorded for this claim.
Related framework references (5)
Speakeasy claims real-time inspection and enforcement across prompts, responses, and agent actions.
Every prompt, response, and agent action is inspected and enforced in real time.
Related framework references (5)
Speakeasy AI Control Plane materials reviewed did not provide a public claim for AI inventory, risk, approval, exception, and compliance workflows.
No quoted source text is recorded for this claim.
Related framework references (5)
Speakeasy AI Control Plane materials reviewed did not provide a public claim for AI-specific adversarial testing and release assurance.
No quoted source text is recorded for this claim.
Related framework references (5)
Speakeasy AI Control Plane materials reviewed did not provide a public claim for model and AI-artifact supply-chain inspection.
No quoted source text is recorded for this claim.
Related framework references (5)
Speakeasy claims SSO, role-based access, and runtime guardrails at its Model Context Protocol (MCP) gateway.
SSO, RBAC, and runtime guardrails at the gateway
Related framework references (5)
Speakeasy claims real-time logs and traces for Model Context Protocol (MCP) requests and agent tool calls.
Real-time logs and traces for every MCP request
Related framework references (5)
Speakeasy claims distributed traces across agents, Model Context Protocol (MCP) servers, and downstream application programming interfaces (APIs).
Follow a tool call across agents, MCP servers, and downstream APIs
Related framework references (5)
Speakeasy AI Control Plane materials reviewed did not provide a public claim for non-human identity and machine-credential lifecycle controls.
No quoted source text is recorded for this claim.
Related framework references (5)
Speakeasy claims SSO and role-based permissions down to individual Model Context Protocol (MCP) tools.
Permission down to the server, toolset, or individual tool.
Related framework references (5)
Speakeasy claims governed Model Context Protocol (MCP) access for coding assistants including Cursor, Copilot, and internal agents.
Point Claude, Cursor, ChatGPT, Copilot, and your internal agents at one URL.
Related framework references (5)
Speakeasy claims AI spend and adoption attribution by team, client, and tool.
Attribute spend and adoption per team, client, and tool.
Related framework references (5)
Speakeasy AI Control Plane materials reviewed did not provide a public claim for a public per-user, per-app, usage-based, or enterprise-platform commercial model.
No quoted source text is recorded for this claim.
Related framework references (2)
Speakeasy positions its control plane between approved AI tools and enterprise software as a service (SaaS), application programming interfaces (APIs), and internal systems.
Connect SaaS, APIs, and internal systems through a single governed platform.
Related framework references (5)
Harness AI Security materials reviewed did not provide a public claim for workforce discovery of unmanaged AI tools, accounts, users, and usage.
No quoted source text is recorded for this claim.
Related framework references (5)
Harness AI Security materials reviewed did not provide a public claim for AI-feature discovery across the enterprise business-application environment.
No quoted source text is recorded for this claim.
Related framework references (5)
Harness claims continuous monitoring of AI application programming interface (API) traffic and an inventory of large language model (LLM), Model Context Protocol (MCP), AI application programming interface (API), and generative AI assets.
Automatically monitor all AI API traffic
Related framework references (5)
Harness AI Security materials reviewed did not provide a public claim for blocking, coaching, redirecting, or containing unapproved AI use.
No quoted source text is recorded for this claim.
Related framework references (5)
Harness claims inspection of AI prompts and responses for PII and other sensitive data.
inspect AI prompts and responses for sensitive data types
Related framework references (5)