Upwind claims AI-specific security testing before deployment and continuously as models evolve.
identify weaknesses before deployment, and continuously as models evolve
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 161–180 of 1280 evidence records
Upwind claims an AI bill of materials (AI-BOM) correlating code, cloud, model registries, agent systems, AI components, and runtime dependencies.
Correlation with runtime evidence to reveal real dependencies
Upwind claims Model Context Protocol (MCP) runtime tracing of prompts, decision chains, tool calls, file actions, application programming interfaces (APIs), and cloud interactions.
MCP Security brings agentic visibility to runtime by tracing AI-driven actions end-to-end.
Upwind claims end-to-end runtime observation of agent prompts, decisions, tool invocations, file actions, application programming interface (API) calls, and system changes.
Observation of tool invocation and agent function calls
Upwind materials reviewed did not provide a public claim for trust or policy enforcement between agents.
No quoted source text is recorded for this claim.
Upwind claims discovery of AI application programming interface (API) keys and secrets plus detection of overly permissive identity and access management (IAM) roles used by AI services.
Automatically discover AI API keys and ensure they are not exposed.
Upwind materials reviewed did not provide a public claim for agent registration, delegated authorization, task-scoped access, and revocation.
No quoted source text is recorded for this claim.
Upwind materials reviewed did not provide a public claim for coding-agent, integrated development environment (IDE), CLI, workstation, skill, hook, or package-action governance.
No quoted source text is recorded for this claim.
Proofpoint claims discovery of AI tools active in the enterprise environment.
discovers every AI tool active in your environment
Proofpoint materials reviewed did not provide a public claim for embedded AI discovery across the business-application environment.
No quoted source text is recorded for this claim.
Proofpoint claims runtime inspection and audit-ready evidence for employee interactions with enterprise AI.
produces audit-ready evidence of every employee interaction with AI
Proofpoint claims context-aware policy enforcement over employee AI interactions at runtime.
enforces context-aware policies
Proofpoint claims real-time inspection of prompts, outputs, and agent workflows to identify and block sensitive-data exposure.
Enterprises can reduce sensitive data exposure by inspecting prompts, outputs, and agent workflows in real time.
Proofpoint claims AI visibility and enforcement across endpoints and web browsers.
from endpoints and web browsers to emerging AI infrastructure
Proofpoint claims runtime protection for custom AI models and applications developed or deployed within the enterprise.
protecting custom AI models and applications developed or deployed within the enterprise
Proofpoint claims governance, policy, audit evidence, and runtime context for enterprise AI usage and agent behavior.
govern every interaction
Proofpoint materials reviewed did not provide a public claim for adversarial testing or release assurance for AI systems.
No quoted source text is recorded for this claim.
Proofpoint claims security-posture checks for services in the AI supply chain at the Model Context Protocol (MCP) boundary.
checks the security posture of every service in the AI supply chain
Proofpoint claims authentication, content inspection, and approved-server registry controls at the Model Context Protocol (MCP) boundary.
enforces authentication and content inspection at the MCP boundary
Proofpoint claims runtime observability, anomaly detection, and transaction reconstruction across multi-step agent workflows.
runtime observability across multi-step workflows