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There is no single open-source package in the sources reviewed that replaces every commercial AI agent security platform. Instead, combine tools according to the security job: test agent behavior, authorize tool calls, mediate MCP servers, isolate execution, and monitor activity. The right mix depends on your agent’s architecture and the actions it can take.
What “agent security platform” can mean
The label covers controls at different points in an agent’s lifecycle. A red-team framework can expose prompt-injection weaknesses before release; a policy engine can decide whether a particular actor may invoke a tool; a gateway can mediate MCP servers; and a sandbox can constrain what a process can access. Monitoring and audit controls help teams detect and investigate activity after deployment.
These functions are complementary, not interchangeable. OWASP’s AI Security Solutions Landscape for Agentic AI, published August 7, 2025, maps solutions across lifecycle stages and SecOps duties. OWASP describes its solutions directory as a community resource, not a comprehensive list or an endorsement, so treat the options below as examples rather than a complete market survey.
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Open-source options and their roles
| Option | Primary role | What it does not establish on its own |
|---|---|---|
| Cedar | Fine-grained authorization policy language and engine | Red-teaming, runtime monitoring, or a complete agent-security suite |
| Open Policy Agent (OPA) | Policy-as-code decisions for agent and MCP rules | Process isolation or adversarial behavior testing |
| Docker MCP Gateway | Container-based MCP server mediation and centralized configuration | Complete coverage of every tool or agent action |
| promptfoo | LLM and agent testing, including red-teaming for prompt injection | In-line authorization of live tool calls |
| Sandbox Runtime | OS-level filesystem and network sandboxing for processes, including MCP servers | A mature, supported commercial-grade platform; OWASP describes it as experimental |
| Meta LlamaFirewall | Modular system-level guardrails for selected agent risks | A universal security suite or proof that agent risk is solved |
Cedar: decide whether an action is allowed
OWASP lists Cedar as a policy language and engine for fine-grained authorization, including decisions about tool calls. It is relevant when you need a structured way to express access rules. Authorization still needs to be enforced at the point where the action is executed; a policy engine does not by itself test prompts or watch all runtime behavior.
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OPA: express rules as code
OWASP lists OPA for expressing agent and MCP policies as code. Its guidance illustrates rejecting MCP server configurations that are not pinned and evaluating tool-call requests using details such as the actor’s identity, the requested tool, and its arguments. This can support a gateway or proxy control point, but policy decisions need to be connected to the component that can actually deny an action.
Docker MCP Gateway: mediate MCP servers
OWASP describes Docker MCP Gateway as running and mediating MCP servers in containers with centralized configuration. Consider it when MCP server containment and mediation are part of your threat model. Containerization alone does not prove that every capability available to an agent is contained; verify the boundaries and permissions in your deployment.
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promptfoo: test behavior before and during changes
OWASP lists promptfoo as a framework for testing and red-teaming LLM applications and agents, including prompt-injection scenarios. Use testing to find weaknesses before deployment and to evaluate changes over time. A test framework is not an in-line authorization control: passing a test does not grant permission to perform an action safely at runtime.
Sandbox Runtime: constrain process access
OWASP lists Anthropic’s Sandbox Runtime as an experimental OS-level filesystem and network sandbox for arbitrary processes, including MCP servers. The experimental status matters: assess the project’s current status and support before relying on it for production requirements. Also test which filesystem and network capabilities are actually constrained in your configuration.
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Meta LlamaFirewall: inspect selected risks
A paper dated April 29, 2025 describes LlamaFirewall as an open-source, modular, system-level framework with three guardrails: PromptGuard 2 for jailbreak detection; AlignmentCheck for auditing reasoning for prompt injection or goal misalignment, described in the paper as experimental; and CodeShield for static analysis of generated code. These address selected risks rather than every way an agent can cause harm. The paper’s description does not establish current project status or comparative effectiveness against commercial platforms.
How to choose the right combination
Start with the control point
Identify what the control must inspect or constrain. Prompt and output checks look for risky content; authorization evaluates whether a specific action is allowed; an MCP gateway mediates server access; and an OS sandbox limits process capabilities. Do not treat a detection layer as a substitute for a permission check or an execution boundary.
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Check integration against your actual deployment
Verify support for the agent framework, tool interfaces, deployment environment, and identity system you use. The OWASP material does not provide a uniform compatibility matrix for these projects. Confirm current integrations in each project’s own documentation and test them in the same architecture where the control will run.
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For consequential actions, determine whether policy can evaluate the actor, tool, and arguments, and whether the execution path can deny or require approval. OWASP recommends evaluating policy at a gateway or proxy and validating tool calls. Also decide what happens if policy lookup, risk classification, approval validation, or audit logging fails: its AI Agent Security Cheat Sheet recommends failing closed for these high-impact control failures.
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Review isolation and the MCP supply chain
Check the actual scope of a sandbox rather than assuming it covers every capability reachable by the agent. Review third-party MCP servers before installation and pin their versions instead of relying on floating tags such as @latest. OWASP identifies unreviewed servers and floating versions as supply-chain risks and warns that sandboxes may cover only part of an agent’s capabilities.
Include operations, not just code
Compare the effort required to maintain policies, deploy controls, investigate blocked actions, and respond to incidents. OWASP’s advanced maturity practices include centralized audit logging and anomaly alerts. A control without a workable process for reviewing its events can leave operators unable to understand what happened or respond effectively.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.A practical implementation sequence
OWASP’s maturity guidance moves from basic restrictions toward more controlled, observable operation. Apply the steps in order, adapting them to the impact of the actions your agent can take:
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- Limit the agent’s starting privileges. Keep approval prompts enabled, do not give agents full developer credentials, and exclude production credentials from agent environments.
- Review permissions and server sources. Grant only the access needed for the task, review MCP servers before use, and pin server versions.
- Constrain execution. Add sandboxing appropriate to the deployment and use egress allowlists where they fit the threat model. Verify the sandbox’s actual filesystem and network boundaries.
- Put policy at the action boundary. Evaluate tool calls against actor identity, tool, and arguments at a gateway or proxy, and make sure the execution component enforces the decision.
- Make consequential actions independently verifiable. Separate the agent’s proposed action from the component that executes it. That component should validate scope and authorization rather than trusting the proposal. Bind human approval to the exact action, use short-lived authorization artifacts and replay protection, and fail closed if required checks fail.
- Keep evidence and test continuously. Retain centralized audit logs, add anomaly alerts, and run regular red-team exercises. Validate outputs and review blocked actions so testing and operations inform subsequent policy changes.
What these alternatives do not prove
The OWASP landscape and guidance describe categories, controls, and project-specific roles, while the LlamaFirewall paper describes a particular modular framework. They do not provide an apples-to-apples benchmark ranking these projects against one another or against commercial platforms, nor do they establish feature parity with every commercial offering. Choose based on the risks and control points in your own system, then verify current project status, integrations, and operational fit.
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