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.
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Evidence records1280
Source checked863
Needs verification0
Source captured0
No supporting claim found411
Excluded from evidence6
LayerX claims centralized policy and operational visibility across user and agent prompts, actions, identities, applications, and data exchanges in browsers, desktop apps, integrated development environments (IDEs), extensions, and on-device agents.
Control every prompt, agent action, and data exchange across any browser, AI application and IDE.
Related framework references (5)
LayerX Interaction 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.
No quoted source text is recorded for this claim.
Related framework references (5)
LayerX Interaction 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.
No quoted source text is recorded for this claim.
Related framework references (5)
LayerX claims real-time last-mile monitoring, detection, blocking, data loss prevention (DLP), and adaptive policy across prompts, agent actions, data exchanges, AI applications, browsers, desktops, integrated development environments (IDEs), extensions, and on-device agents.
Monitor, detect, block, and govern AI interactions in real time with adaptive controls.
Related framework references (5)
LayerX claims contextual correlation of users, agents, identities, applications, and data with granular policy based on identity, data sensitivity, and risk.
Correlate prompts, actions, identities, applications, and data exchanges into a single security context.
Related framework references (5)
LayerX claims discovery and governance of AI desktop apps, integrated development environments (IDEs), integrated development environment (IDE) extensions, browser extensions, on-device agents, prompts, actions, file transfers, copy and paste, and sensitive-data exchanges.
LayerX Endpoint Agent extends coverage to AI desktop apps, IDEs, IDE extensions, and on-device agents.
Related framework references (5)
LayerX Interaction Security materials reviewed did not provide a public product claim for 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)
LayerX claims it tracks AI usage and detects misuse such as credential submission, prompt injection, regulatory compliance issues, and AI usage policy violations.
Track the usage of AI and detect misuse such as submission or passwords and credentials, prompt injection, regulatory compliance and AI usage policy violations
Related framework references (5)
LayerX claims discovery of Shadow software as a service (SaaS) and software as a service (SaaS) security risks along with AI usage across software as a service (SaaS), web, browser extensions, and AI-enabled applications.
Instant, real-time visibility to all interactions across all Desktop, SaaS, and AI apps.
Related framework references (5)
LayerX claims Chrome Enterprise integration for risk scoring and AI usage security across Chrome, Gemini, and Google Workspace environments.
LayerX directly integrates into the Chrome Enterprise management console to provide risk scoring and AI usage security for Chrome, Gemini and Google Workspace environments.
Related framework references (5)
LayerX claims AI governance and control over user and agentic interactions across applications, browsers, and integrated development environments (IDEs).
LayerX provides AI governance and control over all user and agentic interactions, across any application, browser and IDE
Related framework references (5)
LayerX claims it detects, monitors, and classifies data activities across AI tools to prevent sensitive information leakage to AI tools or applications.
Detect, monitor, and classify all data activities across all AI tools to prevent leakage of sensitive information to AI tools or applications
Related framework references (5)
LayerX claims monitoring and protection for agentic AI browsers, embedded browser agents, AI integrated development environments (IDEs), plugins, and agentic interactions.
monitor embedded AI usage by users, websites and extensions
Related framework references (5)
LayerX claims AI browser protection for agentic browsers and embedded browser agents against attacks and exploitation.
Protect agentic AI browsers and embedded browser agents
Related framework references (5)
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (5)
LayerX claims it can block unauthorized AI applications and keep employees within trusted, approved environments.
Block access to unauthorized AI applications completely.
Related framework references (5)
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (5)
LayerX publicly states its offering is subscription-based and priced per user per year.
LayerX is offered in a subscription model, priced per user per year.
Related framework references (2)
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (5)