Public-source research
Review what vendors say publicly, the exact quoted source text, the security requirement each statement may support, and what still needs verification.
Showing 721–740 of 1280 evidence records
Zenity claims Model Context Protocol (MCP) server and tool-call governance with runtime visibility, policy enforcement, and protection against risky agent activity.
See and Stop Agent Risk at Runtime
Zenity claims visibility into AI-agent ownership, permissions, integrations, access paths, and least-privilege posture.
ownership, permissions, integrations, and runtime behavior
Nightfall claims Shadow AI security across generative AI apps including ChatGPT, Copilot, Gemini, Deepseek, Claude, Perplexity, and others.
Nightfall provides comprehensive Shadow AI security across any generative AI app including ChatGPT, Copilot, Gemini, Deepseek, Claude, Perplexity and more.
Nightfall claims its AI-native data loss prevention (DLP) platform prevents sensitive data exposure and exfiltration across software as a service (SaaS), endpoints, email, browsers, and AI apps.
Nightfall is the AI-native DLP platform that prevents sensitive data exposure and exfiltration across SaaS, endpoints, email, browsers, and AI apps.
Nightfall claims comprehensive shadow-AI security coverage across major generative AI applications including ChatGPT, Copilot, Gemini, Claude, and others.
No public claim found for this capability.
Nightfall claims it automatically blocks secrets, credentials, PHI, PCI, and other confidential information through file uploads and clipboard actions.
Nightfall automatically blocks secrets, credentials, PHI, PCI, or other confidential information via file uploads or clipboard copy/paste actions.
Nightfall claims real-time visibility and control over sensitive data movement across AI agents, Model Context Protocol (MCP) servers, endpoints, and software as a service (SaaS), preventing data that should not leave.
Control data movement across AI agents, MCP servers, endpoints, and SaaS—without slowing innovation. Nightfall gives you real-time visibility and control over how sensitive data moves — and prevents what shouldn't leave. Legacy data security can't see or stop this.
Nightfall claims unknown Model Context Protocol (MCP) servers can be discovered across endpoints and surfaced in a dashboard with policy defined to block Model Context Protocol (MCP) servers.
Unknown MCP servers discovered running locally across 12 endpoints > full inventory surfaced in the dashboard. Policy defined to block MCP servers.
Nightfall claims Model Context Protocol (MCP) gateway controls, audit logs, registry scanning, and per-tool policy enforcement for AI-agent workflows.
Every tool call flows through the gateway
Nightfall claims detection of secrets, credentials, application programming interface (API) keys, and certificates in generative AI prompts and AI workflows.
No public claim found for this capability.
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
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.
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.
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
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
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
LayerX claims AI browser protection for agentic browsers and embedded browser agents against attacks and exploitation.
Protect agentic AI browsers and embedded browser agents
No public claim found for this capability.