Founders & AI startups
Get a defensible security picture before a launch, pilot or customer review.
AI Agent Security Assessment
We assess your AI agent before it reaches production.
Security assessment, evidence, remediation guidance and retest — delivered as a clear report.
Human-led assessment. Scope agreed before any testing. No credentials or secrets are requested through this website.
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Start with ARL Guardian.
Guardian scans an AI-agent repository locally and maps evidence for MCP, network access, filesystem writes, process execution, credentials and approval boundaries — without running the agent.
How it works
A security assessment, not another scanner.
- 1. RequestTell us what the agent does, what it can access and where it is in its lifecycle.
- 2. ScopeWe review the architecture and agree the authorised test boundary, timing and commercial terms.
- 3. AssessARL inspects the system and we conduct controlled security tests against the agreed scope.
- 4. ProveFindings are linked to evidence. Unknown information stays unknown; it is not invented as a vulnerability.
- 5. Fix & retestYou receive remediation guidance, then the exact affected controls are retested.
- 6. ReportYou receive the final report and a review call for the accountable human decision.
Built for agentic systems
When an AI can act, security has to test authority.
We focus on agents that use tools, APIs, MCP servers, repositories, business systems, customer data or autonomous workflows.
Tool-using agents
Test permissions, action boundaries, prompt-injection paths and approval controls.
Internal AI systems
Understand what the agent can reach, change or expose inside your environment.
MCP-based systems
Review tool trust, server permissions, secrets exposure and unsafe action paths.
AgentRiskLayer Research
We publish what the evidence proves — and what it does not.
Our research focuses on MCP, runtime behaviour, tool authority and the security boundary between observations and decisions.
Latest · MCP runtime security
MCP Runtime Security: An Agent Action Is Evidence, Not a Verdict
Two bounded runs. The privileged synthetic tool is attempted in one and absent in the other. Neither trace is allowed to manufacture a PASS, FAIL or finding.
Read the research →Assessment scope
Scope first. Commercial terms follow the system.
Every engagement starts by understanding the agent, its authority surface, integrations and authorised test boundary. Commercial terms are agreed for that scope before testing begins.