Get OWASP Proactive Controls 2024 — defensive measures developers should implement.
AI agents call get_proactive_controls to retrieve information from Security Framework without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns informational content from a security framework database. It performs a lookup of defensive best practices without modifying data, executing code, or triggering external operations. The output is read-only reference material used for security education and compliance mapping.
From the tool's definition Tool retrieves OWASP Proactive Controls 2024 documentation—a static reference document describing 'defensive measures developers should implement.' The verb 'Get' indicates data retrieval with no side effects.
Documented attack patterns abuse exactly the kind of access get_proactive_controls gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Security Framework, and nothing reaches the server without passing your rules. This is the rule we recommend for get_proactive_controls:
{
"version": "1",
"default": "deny",
"tools": {
"get_proactive_controls": {}
}
}get_proactive_controls is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get OWASP Proactive Controls 2024 — defensive measures developers should implement. It is categorised as a Read tool in the Security Framework MCP Server, which means it retrieves data without modifying state.
Register the Security Framework MCP server in PolicyLayer and add a rule for get_proactive_controls: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Security Framework. Nothing to install.
get_proactive_controls is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_proactive_controls rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for get_proactive_controls. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
get_proactive_controls is provided by the Security Framework MCP server (zer0-kr/security-framework-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Security Framework, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
41 Security Framework tools catalogued and risk-classified — across an index of 43,000+ MCP servers.