AI-agent control-plane pilot

Evaluate AI actions before your integration executes them.

MAX-AI Guard demonstrates deterministic evaluation for document access, tool calls, external communications, workflow changes, and sensitive outputs. The public dashboard does not intercept outside systems; an agent must integrate the API and enforce its result before acting.

Pre-action decision
Live demo scenario
REQUIRES APPROVAL
Proposed action
SEND_EXTERNAL_EMAIL
Data involved
Sensitive donor update
Policy matched
External communication + donor data
Decision
REQUIRES APPROVAL
Reviewer
Program Director
Receipt
receipt_demo_approval generated after approval
1Agent proposes action
2MAX-AI Guard evaluates
3Allow / Block / Redact / Approve
4Receipt + audit log
RUN_SHELL_COMMAND

DENY

The pilot policy denies shell access; a real caller must honor that result before execution.

SEND_EXTERNAL_EMAIL

REQUIRES APPROVAL

The pilot policy routes external communication containing donor, grant, or program data to review.

READ_DOCUMENT

ALLOW

The pilot policy allows a low-risk internal read and returns the canonical request context.

Competitive wedge

Authorization belongs in the execution path.

The pilot returns a machine-readable evaluation, matched policies, safer alternatives, approval routes, and hash-recorded receipts. Signed single-use grants remain disabled on this public demo until isolated production identities and durable replay protection are explicitly activated.

Pre-action evaluation

The pilot models ALLOW, DENY, REQUIRES_APPROVAL, REDACT, and QUARANTINE decisions before a caller executes a tool.

Policy-backed approvals

Demo scenarios show how sensitive emails, exports, and public posts can pause with the matched rule attached.

Hash-recorded receipts

Pilot decisions produce Markdown and JSON receipt artifacts with hashes, evidence metadata, and audit context.

Agent integration pattern

The API and SDK demonstrate the control point an OpenAI, Anthropic, LangChain, Vercel AI SDK, or custom agent must call.

Secret and data controls

Credential-like content, regulated personal data, and sensitive data classes trigger deterministic guardrails.

Pilot traceability

The demo workspace makes actions, denials, approvals, policy edits, receipts, and integration events inspectable.

Built for a narrow, urgent category

The product focus is clear: pre-action policy, approvals, and audit receipts for autonomous AI systems. That gives security, operations, and executive buyers one concrete control plane to evaluate.

Policy-as-code roadmap
Least-privilege recommendations
Replay mode
Red-team simulator
SIEM exports
Compliance dashboard