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 621–640 of 1280 evidence records
JetStream claims AI FinOps accountability for usage economics by model, agent, workflow, and owner, with anomalous-burn detection, budget and rate-limit controls, and model-routing optimization.
JetStream turns AI usage into clear, actionable economics — by model, agent, workflow, and owner.
Netskope claims Netskope One AI Security provides visibility and controls across enterprise apps, private models, agents, and shadow AI.
Unified AI security for every interaction, from enterprise apps, private models, and agents, to shadow AI.
Netskope claims it can see and secure generative AI software as a service (SaaS), privately hosted large language models (LLMs), AI-powered applications, and autonomous agents.
See and secure your AI ecosystem across generative AI SaaS, privately hosted LLMs, AI-powered applications, and autonomous agents.
Netskope claims generative AI App Security provides visibility across personal, corporate, approved, and shadow generative AI usage.
Gain complete visibility and enforce policies across your entire genAI footprint: personal to corporate, sanctioned to shadow.
Netskope claims it can enforce policies across generative AI use and provide access controls for enterprise AI adoption.
Gain complete visibility and enforce policies across your entire genAI footprint: personal to corporate, sanctioned to shadow.
Netskope claims it inspects and sanitizes AI prompts and responses in real time and protects sensitive data across AI apps.
Inspect and sanitize every prompt and response in real time, with a unified defense against AI threats, misuse, and data loss.
Netskope claims cloud app controls for generative AI include real-time access, out-of-band data protection, and security posture management.
Secure the GenAI era with Netskope's proven cloud app controls, from real-time access and out-of-band data protection to security posture management.
Netskope claims AI Gateway secures AI-powered applications as data risk shifts to autonomous app-to-large language model (LLM) application programming interface (API) calls.
As you build AI-powered applications, data risk shifts from human prompts to autonomous app-to-LLM API calls.
Netskope claims AI Command Center provides visibility across generative AI apps and autonomous agents.
Gain comprehensive visibility across your entire AI environment, from genAI apps to autonomous agents
Netskope claims Agentic Broker secures autonomous non-human interactions and provides visibility and control for public Model Context Protocol (MCP) servers.
Scale your autonomous AI, and secure autonomous, non-human interactions, with unified visibility and control of public MCP servers.
Netskope claims visibility into non-human activity for AI agent interactions through Model Context Protocol (MCP) traffic monitoring.
Monitor the MCP traffic that enables your AI agent interactions, giving visibility into non‑human activity and preventing unauthorized data access or risky connections.
No public Netskope AI Security claim found for operational AI spend attribution, budget controls, rate-limit cost governance, or model-routing cost optimization.
Netskope positions AI Security inside Netskope One, so current Netskope SASE/SSE customers should evaluate incremental enablement, policy reuse, and license scope before adding a separate AI security control plane.
Here's your chance to experience the Netskope One single-cloud platform first-hand.
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.
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.
Singulr claims user activity and data-flow mapping across AI interactions to support visibility into how AI is used.
User activity and data flow mapping
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.
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.
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.
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.