Inspect
Evaluate prompts and agent actions against explicit security rules.
RUNTIME ENFORCEMENT ACTIVE
Stop unsafe AI agents before they act.
Describe what you need protected, get a working GuardBot in two minutes. GuardBotAI inspects prompts, controls tool access, and enforces deterministic security policy between your agents and the systems they can reach.
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.
LIVE 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
POLICY TEST CONSOLE
v0.1 deterministicENFORCEMENT DECISION
block
RISK SCORE
99/100
CategoryPrompt injection
Matched rulesGB-INJ-001, GB-ACT-004
ActionExecution stopped before the request reached a model or tool.
SANITIZED OUTPUT
[REQUEST BLOCKED BY GUARDBOTAI]
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.
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.