Building Deterministic IGA Review Tools for MCP/A2A Agents: A New Option for Security Teams

When Agents Need to Be Audited

As AI agent protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) gradually enter enterprise production environments, a long-overlooked question has surfaced: what access permissions do these agents actually have? And who reviews the boundaries of resources and capabilities they can reach?

Traditional Identity Governance and Administration (IGA) frameworks were designed for human users and service accounts. They struggle to keep pace with AI agents that are dynamic, composable, and declarative in their capability claims. One developer shared their solution on Reddit — an inspection tool specifically designed for agent protocols that generates "deterministic IGA-style review packages" to help security teams assess agent access capabilities.

MCP (Model Context Protocol) is an open protocol introduced by Anthropic that defines standardized interactions between AI models and external tools and data sources, allowing agents to dynamically discover and invoke capabilities such as file systems, databases, and APIs. A2A (Agent-to-Agent) is Google's inter-agent communication protocol, focused on task delegation, state synchronization, and capability negotiation in multi-agent systems. Together, they form the protocol foundation of today's enterprise AI agent ecosystem. However, their "capability declaration" mechanism — where agents can dynamically announce what they can do at runtime — makes it difficult for traditional static permission models to track actual access boundaries.

What Is an IGA-Style Review Package

IGA is a core component of enterprise security infrastructure, responsible for managing "who can access what." In traditional settings, security teams conduct periodic Access Reviews to verify whether each account's permissions are appropriate and whether over-permissioning or permission creep exists.

The developer's core idea is to migrate mature IGA review methodology into the AI agent domain. The tool they built — Agent Protocol Inspector — generates structured review documentation for agent capabilities exposed under MCP and A2A protocols.

The key word here is deterministic. For security auditing, determinism means the same input always produces the same output — and that matters enormously. Audit results that are random or non-reproducible lose their value as compliance evidence. The tool's explicit emphasis on deterministic output is aimed squarely at enterprise security teams' hard requirement for traceable, reproducible audit evidence.

Why Agents Need Dedicated Review Tools

The MCP protocol lets agents declare and invoke a range of tools and resources, while the A2A protocol enables agents to delegate tasks and collaborate with each other. This flexibility introduces new attack surfaces:

• Agents may be granted tool access permissions beyond what they actually need
• Delegation chains between agents can lead to implicit permission propagation
• Capability inventories exposed by protocols lack a unified review view

When multiple agents are interconnected through protocols, permission boundaries become blurry, and traditional manual reviews can barely keep up with this kind of dynamic change.

IGA (Identity Governance and Administration) is a subdomain of enterprise IAM (Identity and Access Management). Its core functions include: Access Certification — periodically having resource owners confirm whether account permissions are appropriate; Role Mining — inferring reasonable permission models from actual access behavior; and SoD (Segregation of Duties) conflict detection — preventing a single account from simultaneously holding mutually-constraining high-risk permission combinations. Sailpoint, Saviynt, and IBM Security Verify are among the mainstream IGA platforms on the market. This methodology has over a decade of practical implementation in heavily regulated industries like finance and healthcare, with mature compliance integration paths (e.g., SOX and HIPAA audit requirements) — which is precisely why migrating it to the AI agent domain holds real practical value.

The permission propagation problem caused by inter-agent delegation chains is generally considered a variant of "Privilege Escalation" in the security domain. In a multi-agent system, an entry-point agent with limited permissions may delegate tasks through the A2A protocol to a back-end agent with higher permissions, indirectly reaching resources that should have been inaccessible — this type of risk is completely invisible in static permission inventories and can only be detected in runtime call chains. Furthermore, MCP tool declarations themselves can become attack vectors: malicious or tampered MCP servers can declare deceptive tool descriptions to trick large language models into performing unintended operations — a "Tool Poisoning" attack. This further underscores the necessity of statically reviewing protocol-level capabilities, rather than relying solely on runtime monitoring.

The Tool's Positioning and Value

Based on information provided by the developer, this is a free agent protocol inspection tool aimed at security teams that need to review agent access permissions. It transforms protocol capabilities exposed by agents into review formats familiar to security teams, lowering the barrier to evaluation.

This design philosophy has real-world merit. Enterprise security teams have often already established mature processes and compliance frameworks around IGA. Rather than asking them to learn an entirely new agent security paradigm, mapping agent capabilities to existing review language reduces the friction of rolling out AI security governance.

That said, the technical details in this initial share are relatively limited. How the tool parses protocols, what specific fields the generated review packages contain, and how determinism is guaranteed are questions that still require further documentation and practical validation.

An Early Signal for Agent Security Governance

The emergence of this tool is itself a signal worth paying attention to: AI agents are moving from experimental prototypes to production assets that need to be governed seriously. As enterprises begin deploying multi-agent systems, the demands of security, compliance, and auditing will inevitably follow.

It is foreseeable that the security toolchain surrounding agent protocols like MCP and A2A will gradually mature, covering multiple dimensions including capability inventory management, least-privilege access, access reviews, and behavioral monitoring. The migration of IGA methodology into the agent domain may well be just the beginning of this trend.

For teams currently evaluating or deploying agent systems, proactively paying attention to tools like this and incorporating agent permissions into existing governance frameworks is a pragmatic way to reduce long-term security risk.