Wallarm AI Control Platform materials reviewed did not provide a public claim for workforce discovery of unmanaged AI tools, accounts, users, and usage.
No quoted source text is recorded for this claim.
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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No supporting claim found411
Excluded from evidence6
Showing 1–19 of 19 evidence records
Clear all filtersWallarm AI Control Platform materials reviewed did not provide a public claim for AI-feature discovery across the enterprise business-application environment.
No quoted source text is recorded for this claim.
Wallarm AI Hypervisor claims capture of outbound AI-workload connections to large language models (LLMs), application programming interfaces (APIs), databases, and third-party services.
captures every outbound connection an AI workload makes on EKS
Wallarm AI Control Platform materials reviewed did not provide a public claim for blocking, coaching, redirecting, or containing unapproved AI use.
No quoted source text is recorded for this claim.
Wallarm claims agentic AI payload protection against injection attacks and data leakage.
preventing injection attacks and data leakage
Wallarm AI Control Platform materials reviewed did not provide a public claim for session-level browser or software as a service (SaaS) controls for employee AI use.
No quoted source text is recorded for this claim.
Wallarm claims AI payload inspection policies that detect and block AI-agent attacks.
AI payload inspection mitigation controls
Wallarm AI Control Platform materials reviewed did not provide a public claim for AI inventory, risk, approval, exception, and compliance workflows.
No quoted source text is recorded for this claim.
Wallarm AI Control Platform materials reviewed did not provide a public claim for AI-specific adversarial testing and release assurance.
No quoted source text is recorded for this claim.
Wallarm AI Hypervisor claims an AI software bill of materials for observed AI workloads.
AI software bill of materials (AI-SBOM)
Wallarm claims Model Context Protocol (MCP) policies that enforce access, validate request parameters, check tool schemas, and block by IP or session.
enforce access policies, validate request parameters, and ensure tool calls conform to the published schema
Wallarm AI Hypervisor claims observation of each AI-agent decision and runtime connection.
Observes every AI agent decision
Wallarm claims access and schema controls for agent-to-Model Context Protocol (MCP) tool handoffs.
ensure tool calls conform to the published schema
Wallarm AI Control Platform materials reviewed did not provide a public claim for non-human identity and machine-credential lifecycle controls.
No quoted source text is recorded for this claim.
Wallarm AI Hypervisor claims revocation of compromised agent sessions using user identity or trace ID.
revokes compromised AI agent sessions by user identity or trace ID
Wallarm AI Control Platform materials reviewed did not provide a public claim for coding-agent, integrated development environment (IDE), CLI, workstation, tool, and package-action governance.
No quoted source text is recorded for this claim.
Wallarm claims controls for agent abuse that produces usage and credit overages.
Usage abuse and credits overages
Wallarm AI Control Platform materials reviewed did not provide a public claim for a public per-user, per-app, usage-based, or enterprise-platform commercial model.
No quoted source text is recorded for this claim.
Related framework references (2)
Wallarm positions its application programming interface (API) and AI controls as external runtime protection deployable across cloud, hybrid, and edge environments.
Deploys wherever your traffic lives — cloud, hybrid, or edge.