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 601–620 of 1280 evidence records
Entro Security platform 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.
Netskope documents AI Gateway as a subscription licensed by gateway instances and monthly transaction allocations, with separate tenant entitlements and add-on packages for more gateways or transactions.
Each Subscription Unit entitles the Customer to one Gateway instance and a fixed allocation of Transactions per calendar month.
Palo Alto Networks documents Prisma AIRS as bring-your-own-license funded through Software NGFW credits, with runtime firewall capacity based on instances and vCPUs and runtime application programming interface (API) usage measured in monthly token allocations.
Prisma AIRS uses a bring-your-own license (BYOL) model.
Zscaler documents AI Guard as a software as a service (SaaS) subscription with a platform fee and purchased token allocation for the subscription term, with additional tokens ordered through sales or a channel partner.
AI Guard is a Software as a Service product licensed based on a platform subscription fee and the number of tokens purchased.
Cisco documents AI Defense as a software subscription offered in packages, including an AI Validation package, with ordering quantities and software subscription terms defined in official offer and ordering materials.
If You purchase an AI Defense subscription package with AI Validation
Microsoft documents data security posture management (DSPM) access through Microsoft 365 E5 or Microsoft Purview Suite, while managing some AI-agent interactions can additionally require pay-as-you-go billing.
To access and use DSPM, you need a Microsoft 365 E5 or Microsoft Purview Suite license.
Noma claims it discovers, governs, and protects enterprise AI and agents across homegrown AI, software as a service (SaaS) agents, and coding assistants.
Noma discovers, governs, and protects AI and Agents across the enterprise, from homegrown AI to SaaS agents and coding assistants.
Noma claims coverage for commercial AI and software as a service (SaaS) agent platforms already embedded in workflows, including major enterprise agent platforms.
Extend coverage to commercial AI and agent platforms already embedded in your workflows. Native integrations with Microsoft Copilot Studio, Salesforce AgentForce, ServiceNow, and 80+ other. Agentless deployment, with no code changes required.
Noma claims runtime privacy policies can prevent sensitive data from leaving the environment during AI usage.
Privacy policies block sensitive data from leaving your environment.
Noma claims it can discover, test, and protect custom AI applications and agents through application programming interfaces (APIs), SDKs, and centralized gateway enforcement.
Discover, test, and protect custom-built AI applications and agents through our REST API, native Python and JavaScript SDKs for frameworks like LangChain and CrewAI, or our centralized gateway for unified policy enforcement.
Noma claims discovery provides visibility and context across models, agents, Model Context Protocol (MCP) servers, data sources, and their dependency chains.
Discovery provides visibility and deep context for your entire AI landscape: every model, every agent, every MCP server, every data source, and crucially, how they all connect.
Noma claims it can monitor AI and agentic communication in real time and enforce runtime policies.
See all AI and agentic communication as it happens and enforce policies at runtime.
Noma claims it supports identity and access controls for AI applications and agents as part of pre-deployment boundaries.
setting proper identity and access controls for every AI application and agent
JetStream claims AI Visibility continuously discovers and inventories AI agents, models, tools, and workflows across software as a service (SaaS), endpoints, cloud, application programming interfaces (APIs), and internal systems.
Continuously discover and inventory AI agents, models, tools, and workflows across SaaS, endpoints, cloud, APIs, and internal systems.
JetStream claims it can uncover shadow AI and inventory AI agents, models, tools, and workflows across software as a service (SaaS), endpoints, cloud, application programming interfaces (APIs), and internal systems.
Uncover shadow AI. Continuously discover and inventory AI agents, models, tools, and workflows across SaaS, endpoints, cloud, APIs, and internal systems.
JetStream claims it lets organizations see every AI action, tie actions to accountable owners, and keep workflows within approved boundaries.
See every AI action, tie actions to accountable owners, keep workflows inside approved boundaries, and turn AI from a black box into a managed system.
JetStream claims Runtime Governance enforces operational and security guardrails and lets teams approve changes or stop runs when behavior varies from an approved Blueprint.
JetStream watches live AI activity and compares that to the approved design within each AI Blueprint. It enforces operational and security guardrails, records evidence, and flags drift from each workflow’s operational contract the moment behavior varies from the Blueprint. Teams can approve the change or stop the run—without losing auditability.
JetStream claims Design Control maps agents, models, tools, datasets, and identities and how they interact, then compares intended design to runtime reality as systems evolve.
Design Control turns raw discovery into an approved design by mapping how your AI actually works—agents, models, tools, datasets, and identities—and how they interact. It becomes a living operational contract with versioning and change control, so teams can document intent and compare it to reality as systems evolve.
JetStream claims least-privilege authorization travels with workflows across agent hand-offs and keeps behavior inside approved designs.
Least‑privilege, just‑in‑time authorization travels with the workflow across agent hand‑offs, keeping behavior inside the approved design.
JetStream claims every AI workflow is tied to a provable owner by binding people, agents, NHIs, and model usage into an accountable identity fabric.
Every AI workflow is tied to a provable owner by binding people, agents, NHIs, and model usage into one accountable identity fabric. Raw model provider secrets are replaced with virtual, revocable keys scoped to the approved Blueprint design, so you can rotate, rate‑limit, or kill access without code changes.