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Vendor evidence

Review what vendors say publicly, the exact quoted source text, the security requirement each statement may support, and what still needs verification.

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Evidence records1280
Source checked863
Needs verification0
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No supporting claim found411
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Showing 1–19 of 19 evidence records

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Singulr AIAI governance, risk, and complianceSource checkedStrong public support for this requirement

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.

Define enforceable intent, ownership, and risk thresholds across AI systems and agents.
Related framework references (5)
Singulr AIAI assurance and adversarial testingSource checkedStrong public support for this requirement

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

Application-aware AI red teaming runs continuously against OWASP LLM Top 10, NIST, and MITRE scenarios, built into CI/CD.
Related framework references (5)
Singulr AIAI model and supply-chain securitySource checkedLimited public support for this requirement

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.

MCP server vulnerability scanning.
Related framework references (5)
Singulr AIAI gateway, tool-connection, and runtime controlsSource checkedStrong public support for this requirement

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.

Real time enforcement across agents and agentic interactions.
Related framework references (5)
Singulr AIAI agent identity and permissionsSource checkedLimited public support for this requirement

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.

Define enforceable policies based on agent type, data sensitivity, tool access, and scope.
Related framework references (5)
Singulr AIAI coding-agent and workstation securitySource checkedLimited public support for this requirement

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.

Browser and Endpoint Enforcement with Agent Permission Boundaries.
Related framework references (5)
Singulr AIAI cost and usage controlsNo supporting claim found

Singulr platform materials reviewed did not establish AI usage-cost attribution, token or spend metrics, budgets, chargeback, or cost-aware model routing.

No quoted source text is recorded for this claim.
Related framework references (5)
Singulr AIUnapproved AI use discoverySource checkedStrong public support for this requirement

Singulr claims Contextual Discovery creates a real-time inventory of the complete AI landscape and continuously discovers homegrown agents, public AI services, and embedded software as a service (SaaS) AI features.

Create real time inventory of your complete AI landscape and eliminate shadow AI. Continuously discover homegrown agents and applications, public AI services, and embedded SaaS features.
Related framework references (5)
Singulr AIAI-feature discovery in business applicationsSource checkedStrong public support for this requirement

Singulr claims it continuously discovers embedded software as a service (SaaS) AI features as part of its complete AI landscape inventory.

Create real time inventory of your complete AI landscape and eliminate shadow AI. Continuously discover homegrown agents and applications, public AI services, and embedded SaaS features.
Related framework references (5)
Singulr AIControls for unapproved AI useSource checkedStrong public support for this requirement

Singulr claims Runtime Control can enforce against unapproved AI services, redact PII and PHI before exposure, control prompt injection, and bound agent permissions.

Enforce against unapproved AI services, redact PII and PHI before exposure, control prompt injection, and bound agent permissions at the browser, the endpoint, and across agentic execution paths.
Related framework references (5)
Singulr AISensitive-data protection for generative AISource checkedLimited public support for this requirement

Singulr claims granular policies can use data classification and include redaction as an enforcement action.

Apply broad governance rules or granular controls based on AI service type, user context, data classification, or business purpose.
Related framework references (5)
Singulr AIAction-taking agent monitoringSource checkedStrong public support for this requirement

Singulr Agent Pulse claims to discover every AI agent and build context graphs of tool connections, data access, Model Context Protocol (MCP) servers, and permissions.

Discover every AI agent in your environment on any platform. We create the context graph of tool connections, data access, MCP servers, and permissions to show how agents interact with your enterprise systems.
Related framework references (5)
Singulr AIAgent-to-agent communication securitySource checkedStrong public support for this requirement

Singulr Agent Pulse claims real-time enforcement across agents and agentic interactions to safeguard against unauthorized system/tool access, prompt injections, and data leaks.

Real time enforcement across agents and agentic interactions. Safeguard against unauthorized system and tool access, prompt injections, and data leaks.
Related framework references (5)
Singulr AINon-human identity and service-account securitySource checkedLimited public support for this requirement

Singulr Agent Pulse claims auditable records of agent actions, data access, and policy enforcement, with controls based on agent type, tool access, and scope.

Agent Pulse provides auditable records of agent actions, data access, and policy enforcement
Related framework references (5)
Singulr AIBrowser and business-application controlsSource checkedLimited public support for this requirement

Singulr claims it enforces against unapproved AI services, redacts PII and PHI before exposure, controls prompt injection, and bounds agent permissions at the browser, the endpoint, and across agentic execution paths.

Enforce against unapproved AI services, redact PII and PHI before exposure, control prompt injection, and bound agent permissions at the browser, the endpoint, and across agentic execution paths.
Related framework references (5)
Singulr AIGenerative AI application securitySource checkedStrong public support for this requirement

Singulr claims Runtime Control enforces against unapproved AI services, redacts PII and PHI, controls prompt injection, and bounds agent permissions across browser, endpoint, and agentic execution paths.

Enforce against unapproved AI services, redact PII and PHI before exposure, control prompt injection, and bound agent permissions at the browser, the endpoint, and across agentic execution paths. Singulr Agent Pulse™ delivers runtime control for the agentic enterprise: agent discovery, topology mapping, control-drift metrics, and MCP server vulnerability scanning.
Related framework references (5)