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
HiddenLayer materials reviewed did not provide a public claim for discovering employee use of third-party AI apps or employee prompt activity.
No quoted source text is recorded for this claim.
Related framework references (5)
HiddenLayer materials reviewed did not provide a public claim for software as a service (SaaS) AI inventory or embedded third-party software as a service (SaaS) AI discovery.
No quoted source text is recorded for this claim.
Related framework references (5)
HiddenLayer claims AI Discovery can reveal shadow AI, map ownership, and build a living inventory of AI across an enterprise.
The fastest, most complete way to reveal shadow AI, map ownership, and build a living inventory of all AI across your enterprise.
Related framework references (5)
HiddenLayer claims AI Guardrails enforce policies that prevent prompt injection, data leakage, and unsafe AI behavior in real time.
AI Guardrails Enforce policies that prevent prompt injection, data leakage, and unsafe AI behavior in real time.
Related framework references (5)
HiddenLayer claims AI Guardrails can prevent data leakage as part of real-time AI behavior policy enforcement.
AI Guardrails Enforce policies that prevent prompt injection, data leakage, and unsafe AI behavior in real time.
Related framework references (5)
HiddenLayer materials reviewed did not provide a public claim for browser session control, software as a service (SaaS) user controls, or identity-aware software as a service (SaaS) activity protection.
No quoted source text is recorded for this claim.
Related framework references (5)
HiddenLayer claims AI Runtime Security monitors, detects, and responds to adversarial threats on agentic and generative AI applications.
Firewall to monitor, detect, and respond real-time to adversarial threats on agentic and generative AI applications.
Related framework references (5)
HiddenLayer claims Agentic Runtime Visibility observes and reconstructs agent interactions across tools, data, and workflows in real time.
Agentic Runtime Visibility Observe and reconstruct agent interactions across tools, data, and workflows in real time.
Related framework references (5)
HiddenLayer claims it protects autonomous and tool-using AI systems from misuse, escalation, and cross-system exploitation.
Protect autonomous and tool-using AI systems from misuse, escalation, and cross-system exploitation.
Related framework references (5)
HiddenLayer materials reviewed did not provide a public claim for non-human identity, service-account, credential lifecycle, or AI-agent identity governance.
No quoted source text is recorded for this claim.
Related framework references (5)
HiddenLayer materials reviewed did not provide a public claim for AI spend attribution, model cost routing, budget enforcement, rate limits, or token spend controls.
No quoted source text is recorded for this claim.
Related framework references (5)
HiddenLayer materials reviewed did not provide a public per-user, per-seat, usage-based, or platform pricing model.
No quoted source text is recorded for this claim.
Related framework references (2)
HiddenLayer claims native connectors for cloud, CI/CD, data platforms, SIEM/SOAR, application programming interface (API) gateways, and MLOps tools.
Native connectors for cloud, CI/CD, data platforms, SIEM/SOAR, API gateways, and MLOps tools.
Related framework references (5)
HiddenLayer claims AI governance controls, risk management, AI bill-of-materials, model genealogy, and continuous posture reporting for model supply chains.
Enforce governance controls on model behavior.
Related framework references (5)
HiddenLayer claims automated, continuous red teaming across large language models (LLMs), agents, and predictive models with scheduled or on-demand testing and vulnerability tracking.
Automatically run testing across LLMs, agents, and predictive models.
Related framework references (5)
HiddenLayer claims model-file inspection, genealogy, AI bill-of-materials, and scanning for tampering, malware, vulnerabilities, backdoors, and integrity issues before production.
Scan proprietary, drop vendor, open-source, and third-party models for hidden vulnerabilities before they reach production.
Related framework references (5)
HiddenLayer claims real-time AI guardrail policy enforcement and runtime monitoring and response for agentic and generative AI applications.
AI Guardrails Enforce policies that prevent prompt injection, data leakage, and unsafe AI behavior in real time.
Related framework references (5)
HiddenLayer materials reviewed did not provide a public claim for agent registration, accountable ownership, delegated authorization, short-lived credentials, access review, or revocation.
No quoted source text is recorded for this claim.
Related framework references (5)
HiddenLayer materials reviewed did not provide a public claim for governing coding-agent commands, workstation files or networks, integrated development environment (IDE) extensions, skills, hooks, secrets, or package actions.
No quoted source text is recorded for this claim.
Related framework references (5)