Akamai application programming interface (API) Security materials reviewed did not provide a public claim for runtime visibility into agent decisions, actions, tools, and outcomes.
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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Evidence records1280
Source checked863
Needs verification0
Source captured0
No supporting claim found411
Excluded from evidence6
Showing 1–20 of 71 evidence records
Clear all filtersSalt claims visibility into agent-driven actions and maps them to application programming interfaces (APIs), methods, and workflows.
visibility into every agent-driven action
Imperva AI Application Security materials reviewed did not provide a public claim for runtime visibility into agent decisions, actions, tools, and outcomes.
No quoted source text is recorded for this claim.
Kong claims unified observation of large language model (LLM) calls, Model Context Protocol (MCP) tool invocations, and agent-to-agent (A2A) communication.
observe LLM calls, MCP tool invocations, and A2A communication
Speakeasy claims real-time logs and traces for Model Context Protocol (MCP) requests and agent tool calls.
Real-time logs and traces for every MCP request
Harness AI Security materials reviewed did not provide a public claim for runtime visibility into agent decisions, actions, tools, and outcomes.
No quoted source text is recorded for this claim.
Wallarm AI Hypervisor claims observation of each AI-agent decision and runtime connection.
Observes every AI agent decision
Cequence claims detailed runtime tracking of user, agent, tool, application, and application programming interface (API)-call behavior.
detailed tracking of user, agent, and tool behavior
Upwind claims end-to-end runtime observation of agent prompts, decisions, tool invocations, file actions, application programming interface (API) calls, and system changes.
Observation of tool invocation and agent function calls
Proofpoint claims runtime observability, anomaly detection, and transaction reconstruction across multi-step agent workflows.
runtime observability across multi-step workflows
Veeam and Securiti claim Agent Commander can discover shadow agents and provide visibility into data-use risk.
Bring unsanctioned agents under governance with visibility into data use risk.
Snyk Evo claims visibility and governance over the tools, services, actions, and output of development agents.
securing what agents use, what they do, and what they generate
ModelOp claims a system of record spanning machine learning, generative AI, and agents.
Establish visibility into all AI—ML, GenAI, Agents
LatticeFlow AI claims evaluation of agent workflows, security controls, tool permissions, reliability, compliance risk, and multi-step behavior.
assessing security controls, tool access permissions, reliability, and compliance risk across multi-step agent behaviors
Runlayer claims visibility, policy, and audit across agent sessions, MCPs, skills, plugins, memory, triggers, and scoped permissions.
full visibility into every agent session
Keycard claims a real-time event stream of agent actions, tool calls, policy decisions, and attributed audit events.
A real-time event stream of every agent action, tool call, and policy decision.
AWS claims Bedrock AgentCore includes tracing, debugging, and evaluation capabilities for agent performance.
continuously optimize agent performance with tracing, debugging, and evaluation capabilities built in.
Google claims Model Armor can intercept prompts and responses for Gemini Enterprise Agent Platform traffic.
Model Armor intercepts prompts before they reach Gemini models, and intercepts responses before your application receives them.
Microsoft claims Foundry tracing captures agent inputs, outputs, tool usage, retries, latencies, and costs during an agent run.
It captures key details during an agent run, such as inputs, outputs, tool usage, retries, latencies, and costs.
Zscaler claims AI Access Graph provides real-time visibility into how AI agents use data and identities.
Get real-time visibility into how AI agents use data and identities, reducing unnecessary access and tracking data lineage across every channel.