Before production
The agent is about to reach customers, internal systems or real tools and you need a defensible deployment decision.
Start with one real agent. Map what it can access and change, verify the controls around it, and keep the evidence behind a proceed, hold or do-not-deploy decision.
AgentRiskLayer is built for agents that can reach business systems, sensitive data or consequential tools—not for a simple chatbot that only drafts text.
The agent is about to reach customers, internal systems or real tools and you need a defensible deployment decision.
A new model, MCP server, permission, tool, data source or autonomy mode may invalidate earlier evidence.
A buyer, security reviewer or client wants evidence of what was checked—not another unsupported security claim.
A material weakness was remediated and the exact failure needs to be retested before it can be closed.
Start with the deployment decision. Reveal deeper security detail only when a developer, security reviewer or auditor needs it.
Understand what the agent can access, what can influence it and what could happen if it fails or is attacked.
Put enforceable boundaries around prompts, outputs and tool calls before an unsafe action reaches a real system.
Connect findings, fixes, retests and runtime decisions to the evidence that supports an accountable deployment decision.
AgentRiskLayer keeps declarations, observations, supported failures, remediation and exact retests distinct. The interface starts with the decision and next action; technical provenance remains available underneath.
Reproduced under the authorised test scope.
Implementation evidence attached; retest still required.
Policy and decision evidence recorded for the controlled example.
In our safe synthetic benchmark, the intentionally unsafe baseline persisted through 17,600 attempts and executed a simulated privileged action. The protected replay used the same workload and was contained at attempt 26.
17,599 failed paths before the final synthetic route executed the simulated action.
The breaker opened after 25 denied paths and blocked attempt 26 before credential access.
All ARL17K tests passed. The result is synthetic benchmark evidence—not production or independent assurance.
Complete the first risk check in plain English. Add technical evidence and runtime controls only when they are relevant to the agent you are securing.
Record access, data, tools, approval and recovery boundaries.
Compare declarations with technical evidence and authorised tests.
Remediate supported findings and stop unsafe runtime actions.
Verify the exact risk again and preserve the evidence behind the decision.
The free check qualifies the risk. The one-off assessment unlocks the full evidence, remediation and exact-retest workflow. Ongoing plans matter only when you need recurring runtime protection or more projects.
AgentRiskLayer Security Assessments are proprietary assessments against the stated AgentRiskLayer Control Profile. They are not accredited certifications or guarantees that a system is risk-free.