This page compares only the public surfaces supported by the reviewed first-party sources.
Resources / Comparisons / AgentGuard vs Prompt Security
AgentGuard vs Prompt Security: Compare the Documented Surfaces
Use dated first-party evidence to compare public positioning, protected workflows, documented controls, unknowns, and a common proof-of-concept plan.
Scope, Method, and Source Dates
Use common evidence fields, preserve unknowns, and test the same workflow and acceptance criteria for both products.
Public homepage, Docs, Quickstart, API Reference, and public repository.
Official agentic AI security and governance solution page and official homegrown GenAI application solution page, accessed July 26, 2026.
The current evidence does not establish feature equivalence, complete product scope, performance, pricing parity, or a universal winner.
At-a-Glance Comparison
Documented Product Surfaces
Runtime Guard is publicly described for named action categories before execution.
Deep Scan is publicly described for skills, plugins, MCP servers, and agents across named risk categories.
OpenClaw Environment Patrol is publicly described for suspicious skills, modified plugins, new MCP servers, and drift in trusted files.
Docs, CLI, public repository, and runtime and scan API groups are available as first-party evidence.
The reviewed official page describes an MCP Gateway with visibility, real-time protection, shadow MCP detection, risk scoring, policy enforcement, and audit logs.
The reviewed homegrown-application page describes data-loss prevention, content moderation, visibility, and compliance-related capabilities.
The exact architecture, hosting, integration path, and data flow are unknown from the two reviewed pages.
These are Prompt Security first-party statements and do not prove equivalent AgentGuard capabilities or complete Prompt Security scope.
Compare the Protected Workflow
Deployment, Data, Pricing, and Limits
AgentGuard: Multiple public integration modes are documented; complete host-by-host depth remains unknown.
AgentGuard: Public materials provide qualified local and cloud-connected statements; final privacy and retention terms still require authoritative policy review.
Prompt Security: unknown from the two reviewed solution pages.
AgentGuard: unknown.
AgentGuard: Third-party MCP server runtime calls are not fully monitorable or blockable according to the public FAQ.
Prompt Security: Equivalent explicit coverage limits are unknown from the reviewed pages.
Do not interpret unknown as absent, unsupported, free, cloud-only, self-hosted, or unlimited. Verify it directly.
Run the Same Proof of Concept
The same target host, application, MCP path, users, and environment constraints
Architecture path, setup steps, required privileges, and unsupported connections
2. Known-safe action
One expected command, tool call, or application request
Decision, reason, latency, record fields, and operator effort
3. High-risk action
One pre-defined risky action relevant to the workflow
Allow, block, flag, or review result against the expected outcome
4. Component or gateway change
One controlled component, tool, or MCP configuration change
Detection or policy response, evidence, and update workflow
5. Data path
What remains local, what is sent, what is redacted, and what is retained
6. Investigation
One recorded event or finding
Traceability, policy context, source, and follow-up workflow
7. Residual path
One route outside the primary integration
Whether it is visible or controllable and who owns the remaining risk
8. Operations and cost
Maintenance, exceptions, support dependency, pricing, and total operating effort
Questions to Resolve Before You Choose
Which integration mode applies?
Which actions are enforceable?
How is MCP residual risk handled?
What are the current plans and enterprise terms?
What is the deployment and hosting model?
What data crosses the gateway or application integration?
Which runtime and MCP paths are outside coverage?
What are the current plans and technical documentation?
Which first-party source supports the answer?
When was it checked?
Can the answer be demonstrated in the target environment?
Which residual gap remains?
Verify Before You Choose
The reviewed evidence shows different documented entry points and control surfaces, but it does not establish complete scope or product equivalence. Resolve deployment, data, pricing, limitations, and the target POC outcomes before selecting either product.
Read AgentGuard Docs
/docs
Review Prompt Security's Agentic AI Security and Governance page
Review Prompt Security's Homegrown GenAI Apps page
Contact AgentGuard with the POC Scope
/contact
Frequently Asked Questions
Is this comparison independent?
Are AgentGuard and Prompt Security equivalent in scope?
Which Prompt Security facts remain unknown?
Does unknown mean Prompt Security lacks a capability?
What makes a fair POC?
Verify the Evaluation in Your Own Workflow
Use equal test conditions, current first-party evidence, and explicit acceptance criteria before making a decision.