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Knowledge Center

Direct answers to the questions teams hit putting AI agents into production: what the terms mean, how the pieces differ, and where the risk actually sits.

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Explainer Discovery & Posture

Agent Capabilities and the Tool Supply Chain

Agents gain capabilities through MCP servers, skills, plugins, extensions, packages and SaaS connectors. Each behaves differently at install, at execution and at review. Here's the taxonomy, and why allow-listing alone doesn't govern it.

Explainer Cost Intelligence

Agent Cost Governance and Cost Attribution

How organizations attribute, predict, and control what autonomous agents spend — and why cost and security are the same instrumentation problem.

Explainer Observability & Detection

Agent Harnesses

What actually turns a model into an agent — and why security controls have to target that layer, not the model itself.

Explainer Remediation

Agent Lifecycle Hooks

Where hooks sit in an agent's execution, what they can and can't protect against, and how they compare across major platforms.

Explainer Governance & Compliance

AI Agent Audit Trails and Immutable Logging

An AI agent audit trail is a durable record of what an agent did, under whose credentials, and in what context. Here's why agent logs are weaker evidence than most teams assume, what immutability actually means, and what auditors ask for.

Explainer Discovery & Posture

AI Agent Posture Management

The continuous practice of connecting what an agent is configured to do, what it can actually reach, and what it's actually doing — and how that differs from identity governance and point-in-time AI-SPM scans.

Comparison Observability & Detection

AI Agent Security vs EDR

Exactly what EDR covers for AI agents, what it structurally can't, and where agent security sits alongside the controls already deployed.

Explainer Observability & Detection

AIDR (AI Detection and Response)

What AIDR means, how it differs from AI-SPM and guardrails, and the question that separates real AIDR from monitoring with a new name.

Explainer Remediation

MCP Gateways: What They Cover and What They Miss

An MCP gateway sits between agents and MCP servers, applying policy to the traffic that passes through it. Here's what that covers well, the tool types it structurally cannot see, and the architectural question worth asking before you rely on one.

Comparison Protocols & Interoperability

MCP vs Skills

MCP servers and agent skills solve different problems and are often confused as competing standards. Here's the actual architectural difference, and the security distinction most comparisons miss.

Explainer Discovery & Posture

Shadow AI and Agent Sprawl

What shadow AI is, how it differs from agent sprawl, why surveys and gateways miss it, and how detection actually works.