Vendor evidence

JetStream claims an accountable identity fabric binding humans, agents, service accounts, and models with short-lived identity-scoped keys, ownership attribution, permission monitoring, and runtime enforcement.

JetStream claims endpoint scanning for AI applications, Model Context Protocol (MCP) servers, cleartext keys, configuration artifacts, coding-assistant toolchains, permissions, and runtime actions with identity attribution and approved-design enforcement.

Singulr claims policy authoring, ownership, risk thresholds, compliance scoring, lifecycle risk records, dataset licensing validation, agent topology and drift, and closed-loop governance across clouds, software as a service (SaaS), agents, models, data, and tools.

Singulr claims continuous, application-aware AI red teaming against OWASP large language model (LLM), NIST, and MITRE scenarios integrated into CI/CD.

Singulr claims dataset licensing validation, agent dependency topology, model and tool connection mapping, Model Context Protocol (MCP) configuration risk, Model Context Protocol (MCP) server vulnerability scanning, and continuous model and control drift monitoring.

Singulr claims real-time enforcement across AI interactions at browsers, endpoints, and agentic paths, blocking unapproved services, PII or PHI exposure, prompt injection, unauthorized exfiltration, and agent tool or system access.

Singulr claims agent discovery, ownership and intent, topology and permission mapping, enforceable boundaries based on agent type, data sensitivity, tool access, and scope, plus runtime restriction of unauthorized system access.

Singulr claims browser and endpoint enforcement, agent discovery, Model Context Protocol (MCP) server vulnerability scanning, tool and permission mapping, data-loss prevention, CI/CD red teaming, and runtime controls across agentic execution paths.

Grip claims centralized discovery and governance for AI applications, tenants, users, agents, Model Context Protocol (MCP) servers, prompts, activity, application programming interface (API) keys, integrations, permissions, posture, policy violations, remediation, and compliance workflows.

Grip AI and software as a service (SaaS) security materials reviewed did not provide a public product claim for automated adversarial testing, repeatable attack suites, model or agent red teaming, or release-gate evaluation.

Grip AI and software as a service (SaaS) security materials reviewed did not establish model artifact scanning, provenance, signing, dependency or Model Context Protocol (MCP) component analysis, tamper detection, or model-registry release controls.

Grip claims AI-specific threat detection for suspicious activity, policy violations, credential abuse, and unauthorized agent behavior with operational remediation workflows across software as a service (SaaS) and Claude environments.

Grip claims discovery and posture analysis for AI agents as non-human identities, including permissions, authentication, OAuth grants, application programming interface (API) keys, service accounts, access scopes, machine identities, and connected applications.

Grip claims visibility into Claude desktop, browser, agents, Model Context Protocol (MCP) servers, prompts, application programming interface (API) keys, connected tools, and developer workflows that generate code and automate tasks.

Reco claims continuous inventory, ownership and permission mapping, policy enforcement, audit visibility, posture assessment, and governance for approved and shadow AI agents across software as a service (SaaS) environments.

Reco AI agent and Model Context Protocol (MCP) security materials reviewed did not provide a public product claim for automated adversarial testing, repeatable attack suites, model or agent red teaming, or release-gate evaluation.

Reco claims discovery and mapping of Model Context Protocol (MCP) servers, tools, external integrations, OAuth grants, application programming interface (API) connections, data paths, scopes, and unauthorized trust relationships across AI agents and software as a service (SaaS) applications.

Reco claims real-time observability, policy enforcement, misuse and prompt-injection alerting, permission control, and restriction or blocking of AI agents and Model Context Protocol (MCP) paths across connected software as a service (SaaS) environments.

Reco claims mapping of each AI agent to authorizing users, connected applications, OAuth grants, application programming interface (API) identities, permissions, data access, ownership, and policy status with least-privilege controls.

Reco claims discovery of coding agents and their Model Context Protocol (MCP), software as a service (SaaS), repository, OAuth, permission, identity, and data relationships, including Cursor connections to GitHub and other enterprise applications.