Access & permissions
Repositories, data stores, credentials, tools and privilege boundaries.
AI agent security assessment
AgentRiskLayer assesses AI agents that can use tools, APIs, MCP servers, data and autonomous workflows. We collect evidence, reproduce risk in an authorised boundary, guide remediation and retest the exact affected control.
ARL Guardian · Public Preview
Guardian is a local, read-only capability discovery tool for AI-agent repositories. It maps reviewable evidence for MCP, outbound network access, filesystem mutation, process execution, credential references and approval boundaries without running the agent.
Guardian discovers. AgentRiskLayer assesses. Guardian does not decide severity, readiness, finding closure or deployment.
What we assess
Repositories, data stores, credentials, tools and privilege boundaries.
Prompt injection, untrusted content, tool-result poisoning and instruction hierarchy.
High-impact actions, exact approvals, transaction boundaries and constrained targets.
Auditability, containment, remediation evidence and exact retesting.
How it works
We understand the system, lifecycle stage and authorised test boundary.
We bind evidence to the exact target revision and inspect the authority surface.
Controlled tests run only with explicit authorisation. Findings stay evidence-backed.
The affected control is retested against the changed revision and reviewed by a human.
Decision boundary
AI can assist with explanation, organisation and drafting. It does not decide applicability, evidence validity, severity, finding closure, readiness or deployment.
Safe output ≠ safe action. A bounded PASS is not a universal security claim.
Request an assessment
We review the scope before any testing begins. Do not include passwords, API keys, access tokens, private keys or customer data.