Inspect
Evaluate prompts and agent actions against explicit security rules.
AI RUNTIME SECURITY PROXY · ENFORCEMENT ACTIVE
Stop unsafe AI agents before they act.
Every AI request your agents make passes through GuardBotAI before it reaches a model or a tool. We inspect the prompt, control tool access, strip secrets, and enforce your security policy — then record the decision. Describe what you need protected and get a working GuardBot in two minutes, inside a triple-layered sandbox with real-time breakout alarms.
Pre-execution
enforcement
Fail closed
policy mode
Redacted
event evidence
THE ENFORCEMENT LAYER
Security controls at the moment of action
GuardBotAI sits in the runtime path, where policy decisions can stop unsafe requests before a model call or tool execution occurs.
Constrain
Limit tools, arguments, destinations, request size, and execution steps.
Contain
Block project traffic instantly with an organization-level kill switch.
Evidence
Record decisions with redacted context and tamper-evident request hashes.
TRIPLE-LAYERED SANDBOX
Three containment layers, with real-time breakout alarms
Agents that work together can pass an injected instruction between themselves until one of them acts on it. Every GuardBot runs inside three separate containment layers, each at a different trust boundary, so getting past one gains nothing at the next.
Layer 1 · Practice
Nothing is forwarded. Every request is judged against your rules and recorded, so a new agent can never reach a model before you approve it.
Layer 2 · Leashed
One approved destination, allow-listed tools only, tighter size and speed limits. Anything unnamed is refused.
Layer 3 · Live
Full approved operation under your own rules, with every decision written to a tamper-evident record.
Breakout alarms in real time
An unapproved destination, a tool that is not on the list, a burst past a limit, a storm of blocked prompts — or the same blocked pattern appearing across several of your agents within minutes. Any of them drops that GuardBot a layer instantly, before the request in hand goes anywhere, and emails your owners within seconds with what moved, why, and when.
Tightening is automatic, loosening is not
Moving down a layer happens by itself and immediately. Moving up is always a deliberate human approval, recorded with who approved it. One control drops your entire workspace back to Layer 1.
How agent sandbox escape actually worksLIVE POLICY TEST
See the shield decide
Test safe requests, prompt injection, and exposed credentials against the first deterministic policy engine.
- No prompt is sent to an external model
- Matched rules are shown clearly
- Sensitive values are redacted in the output
LIVE POLICY ENGINE · SERVER-SIDE
deterministicENFORCEMENT DECISION
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RISK SCORE
0/100
CategoryRun an inspection to see a decision.
Matched rules—
Forwarded—
Action—
SANITIZED OUTPUT
No payload supplied.
This decision is produced by GuardBotAI’s deterministic policy engine running on our servers — the same evaluator the hosted gateway uses. Your payload is evaluated in memory and never stored.
BUILT FOR ACCOUNTABILITY
One control plane, four enterprise teams
Every team sees the same policy decisions, but with the operational context required for its role.
Security leaders
Centralize enforcement, incident evidence, policy ownership, and emergency containment.
AI engineering teams
Protect model calls and tool execution without rebuilding every agent workflow.
Regulated industries
Keep sensitive context redacted and retain reviewable records of runtime decisions.
Executive teams
Measure exposure, blocked risk, and control coverage from one operations view.
AGENT EXPERIENCE
Products are no longer used only by people
User experience and developer experience assume a human at the other end. A growing share of traffic is an AI agent reading your docs, choosing a tool and acting. Designing for that is Agent Experience — and it is a security question as much as a design one.
From SEO to being cited
Self-contained explanations, clear definitions and structured data are what a model can quote and attribute.
Docs agents can operate
Machine-readable descriptions, stable identifiers, and errors that state the remedy rather than just the fault.
Ease of safe use
Whatever is easy for an agent is easy for a manipulated agent. Permissions belong outside the agent, enforced at runtime.
CONTROL THE RUNTIME
Put policy between intent and execution.
Start with the interactive shield, then connect a project when your team is ready to evaluate live agent traffic.