Operant AI claims it secures AI prompts, interactions, agents, and all data-in-use through the live application stack.
Operant actively secures AI prompts, interactions, agents, and all data-in-use as it flows through your live application stack
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
Showing 41–60 of 69 evidence records
Clear all filtersTenable One AI Exposure claims visibility into how employees and agents use approved AI platforms, including intent, usage patterns, and exchanged data.
Understand how employees and agents use approved AI platforms, including intent, usage patterns, and the data they exchange, so you can identify AI risks early, before exposure occurs.
Elvex claims it provides full IT governance with audit trails for every agent action and decision.
Audit trails for every agent action and decision
No public claim found for this capability.
No quoted source text is recorded for this claim.
Onyx claims usage analytics, query logs, feedback tracking, and query history for activity inside the Onyx AI platform.
Usage analytics, query logs, and feedback tracking across every team.
CrowdStrike claims it protects employee adoption of generative AI tools through a single sensor and console.
Protect employee adoption of GenAI tools, managed through a single sensor and console.
HiddenLayer claims AI Discovery can reveal shadow AI, map ownership, and build a living inventory of AI across an enterprise.
The fastest, most complete way to reveal shadow AI, map ownership, and build a living inventory of all AI across your enterprise.
Aurascape claims it decodes prompts, responses, user identity, and intent for AI interactions.
Decode prompts, responses, user identity, and intent
Cyberhaven claims usage and adoption insights categorize AI applications as approved, unapproved, tolerated, or restricted.
Usage and Adoption Insights Surfaces AI adoption trends across the enterprise, categorizing applications as Sanctioned, Unsanctioned, Tolerated, or Restricted to support governance decisions.
Knostic claims comprehensive visibility for Copilot and other large language model (LLM)-based enterprise AI tools to identify oversharing, undersharing, and inference risks.
Knostic provides comprehensive visibility for Copilot and other LLM-based Enterprise AI tools, enabling enterprises to identify potential oversharing, undersharing and inference risks.
Island claims AI Protect gives visibility and control across browser, desktop, extensions, and network.
AI Protect See, control, and protect all AI usage across the browser, desktop, extensions, and network.
Aembit claims policy, context, and audit for all agent interactions based on unique identities.
Aembit enforces access to your sensitive data and accelerates your AI use with confidence. Apply policy, context, and audit to all agent interactions based on their unique identities.
Wiz claims it continuously discovers AI models, agents, Model Context Protocol (MCP) servers, and services across cloud and software as a service (SaaS).
Continuously discover AI models, agents, MCP servers, and services across cloud and SaaS.
Varonis claims it monitors prompts and alerts on suspicious activity for AI tools and workloads.
Visualize AI’s sensitive data access Revoke excessive permissions Fix risky AI misconfigurations Monitor AI-created data Classify AI-generated content Apply sensitivity labels Monitor prompts and alert on suspicious activity Keep sensitive data out of LLMs Discover hidden AI workloads Identify sensitive data flows Map AI accounts with access to sensitive data
Pangea says its Secure Audit Log service should track access to and processing of sensitive data inside generative AI applications.
Pangea’s Secure Audit Log service should be used to track access to, and processing of sensitive data.
F5 claims AI Security Platform provides governance, observability, and auditability for AI models, applications, agents, users, and actions.
centralized runtime protection, governance, and observability for AI models, applications, and agents
Iterate.ai claims AgentWatch centralizes large language model (LLM) traffic so enterprises can monitor, secure, govern, and analyze AI streams in real time.
All LLM traffic flows through one endpoint—so you can monitor, secure, govern, and analyze every stream in real time.
Credo AI claims its AI Registry records governed systems, agents, models, and applications in a central inventory.
register every system in a central inventory
Holistic AI claims a continuously updated AI inventory with model, data-source, owner, and risk metadata.
Full metadata covering model type, data sources, owners and risk scores
Mindgard claims discovery and inventory of AI applications, models, and agents across the enterprise environment.
Discover and inventory AI applications, models, agents, and shadow AI across your entire environment.