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 641–660 of 1280 evidence records
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
SentinelOne Prompt Security claims it inventories every AI tool and code assistant in use, including unapproved shadow AI.
Inventory every AI tool and code assistant in use, including unsanctioned shadow AI
No public claim found for this capability.
SentinelOne Prompt Security claims integration with AI code assistants such as GitHub Copilot and Claude Code for secure AI usage policy enforcement in development environments.
Yes. Prompt Security integrates with AI code assistants like GitHub Copilot and Claude Code to prevent secrets, credentials, and proprietary code from leaking into prompts, while enforcing secure AI usage policies across development environments.
SentinelOne Prompt Security claims granular, role-based controls for who can use AI, how, and with what data.
Set granular, role-based controls for who can use AI, how, and with what data.
SentinelOne Prompt Security claims it redacts sensitive data and enforces policies across 15,000+ AI services in real time.
Redact sensitive data and enforce policies across 15,000+ AI services in real time
SentinelOne Prompt Security claims searchable audit logs for every agent action, decision, and enterprise system interaction.
Get a searchable audit log of every agent action, decision, and enterprise system interaction
Prompt Security claims runtime policy controls for Model Context Protocol (MCP) interactions, including allow or block decisions by user, server, and action.
Allow/block by user, server, or action
Prompt Security from SentinelOne claims visibility into agents and Model Context Protocol (MCP) servers plus least-privilege access enforcement for AI agents.
Enforce least-privilege access so agents operate only within their defined scope
AIM Security (now Cato AI Security) claims it surfaces AI adoption trends, assesses risks, and detects unauthorized data exchange with public AI services.
With Cato, IT teams can understand AI adoption trends with the business, assess risks and enforce granular access controls, and detect unauthorized data exchange with public AI services in real-time.
No public claim found for this capability.
AIM Security (Cato) claims it gives full visibility and control into which generative AI apps are used and what data is shared with the AI models.
full visibility and control into what GenAI apps are used, and what data is shared with the AI models
AIM Security (Cato) claims it enforces granular access controls, prevents data leakage, and limits AI misuse via policy enforcement.
enforce granular access controls, and detect unauthorized data exchange with public AI services in real-time.
AIM Security (Cato) claims monitoring and governing prompts and responses prevents data leakage and supports governance and compliance.
By monitoring and governing prompt and responses, inline, using APIs or with a browser extension, organizations can prevent data leakage, limit misuse, and ensure governance and compliance for AI use.
AIM Security (Cato) claims it monitors every interaction between agents, models, and Model Context Protocol (MCP) servers to keep agents secure and compliant.
monitor every interaction between agents, models, and MCP servers, to ensure agents operate securely, remain complaint, and align with business needs.
Cato AI Security claims monitoring every interaction between agents, models, and Model Context Protocol (MCP) servers helps ensure agents operate securely and remain aligned with business needs.
monitor every interaction between agents, models, and MCP servers, to ensure agents operate securely, remain complaint, and align with business needs.
Cato AI Security claims it discovers and analyzes enterprise AI agent activity and monitors interactions between agents, models, and Model Context Protocol (MCP) servers.
monitor every interaction between agents, models, and MCP servers
Oasis Security claims complete visibility and control across all AI platforms.
Know exactly what's happening across all your AI platforms, with complete visibility and control.
No public claim found for this capability.
Oasis Security claims visibility and control across AI platforms, including agent, identity, and permission mapping.
Know exactly what's happening across all your AI platforms, with complete visibility and control.