Agentic Radar – Security Scanner for Agentic Workflows

Agentic Radar addresses a critical gap in the rapidly expanding field of autonomous AI agents: security and reliability. As developers build multi‑agent systems that fetch data, invoke external tools, and make decisions, hidden vulnerabilities—such as prompt injection, unintended API calls, or data leakage—can compromise the entire workflow. Agentic Radar automatically scans an agent’s execution trace, evaluates each step against a configurable policy set, and reports potential risks before the agent completes its task. This proactive validation protects both the developer’s codebase and end‑users from accidental misuse or malicious exploitation.

At its core, Agentic Radar is an MCP server that exposes a lightweight REST interface. When an AI assistant like Claude sends a request to the server, Agentic Radar receives the conversation history, the tools invoked, and any intermediate responses. It then runs a series of hardening checks—prompt sanitization, tool‑usage validation, and data‑flow analysis—to ensure that the agent’s behavior aligns with predefined safety rules. The server returns a concise report highlighting any violations, along with actionable recommendations for remediation. Because it operates as an MCP resource, the tool can be dropped into existing agent pipelines with minimal friction: a single endpoint call before or after each task, depending on the desired workflow.

Key capabilities include:

• Prompt Hardening – Detects and mitigates prompt‑injection vectors by inspecting the agent’s generated prompts for malicious patterns.
• Tool Usage Verification – Ensures that only approved tools are called, and that the parameters passed to them meet security constraints.
• Data‑flow Auditing – Tracks sensitive data across the workflow, flagging any unintended leaks or improper storage.
• CI/CD Integration – Embeds security checks into continuous‑integration pipelines, guaranteeing that every new agent iteration passes the radar before deployment.
• Extensible Policy Engine – Allows developers to define custom rules in JSON, making the scanner adaptable to niche compliance requirements or industry standards.

Typical use cases span from fintech bots that retrieve account information to healthcare assistants that handle patient data. In any scenario where an agent must interact with external APIs, execute code, or manipulate confidential information, Agentic Radar provides a safety net that catches issues early. By integrating the scanner into an agent’s lifecycle—either pre‑execution to validate prompts or post‑execution to audit tool calls—teams can maintain rigorous security hygiene without sacrificing agility.

What sets Agentic Radar apart is its MCP‑first design. Developers can plug the scanner into any MCP‑compatible framework (CrewAI, OpenAI Agents, or custom pipelines) with a single resource declaration. The server’s lightweight footprint and clear reporting format make it ideal for both prototyping and production deployments, ensuring that every agentic workflow remains trustworthy, compliant, and resilient against emerging threats.