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What Is an AASB? Why AI Coding Agents Need Their Own Security Control Layer

Unbound SecurityMarch 10, 20264 min read
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A decade ago, enterprises faced a familiar problem: employees were adopting cloud applications faster than IT could track them. Shadow SaaS was everywhere. The answer was the Cloud Access Security Broker, or CASB — a control plane that sat between users and cloud services, providing visibility, policy enforcement, and compliance.

Today, the same pattern is playing out with AI coding agents. Developers are adopting tools like Cursor, GitHub Copilot, Windsurf, and Claude Code at breakneck speed. These are not simple autocomplete tools anymore. They are autonomous agents that can read files, execute shell commands, call APIs, and interact with infrastructure through protocols like MCP (Model Context Protocol).

Security teams have no visibility into what these agents are doing. That is the problem an Agent Access Security Broker (AASB) solves.

Why Existing Security Layers Fall Short

Traditional security controls were designed for a world where humans initiate every action. Consider the gaps:

  • CASB monitors cloud app access, but it has no concept of an AI agent making tool calls on behalf of a developer. A CASB sees an API request — it does not know whether a human or an autonomous agent made it.
  • IAM / PAM controls who can access what, but AI agents often inherit the developer's identity. If a developer has database access, so does their coding agent — with no separate audit trail or policy boundary.
  • AppSec / SAST / DAST scans code for vulnerabilities, but it does not govern what an agent does at runtime. An agent that executes rm -rf / or curl to exfiltrate environment variables is an operational risk, not a code vulnerability.

None of these layers were built to answer the question: What is the AI agent doing right now, and should it be allowed to do it?

The Three Pillars of an AASB

An Agent Access Security Broker provides three core capabilities:

1. Discover

Before you can secure AI agents, you need to know they exist. An AASB provides an inventory of every AI coding tool in use across the organization, including which MCP servers they connect to, what permissions those servers expose, and which developers are using them.

This is the agent equivalent of shadow IT discovery. Most security teams today have no idea how many MCP servers are reachable from developer workstations, what data those servers can access, or whether any governance policy exists around their use.

2. Protect

Once you have visibility, you need enforcement. An AASB applies policies to agent actions in real time. This includes:

  • Command-level governance: Blocking or flagging high-risk operations like destructive file system commands, secret exfiltration, or unauthorized network calls.
  • MCP server allow-listing: Controlling which tool servers an agent can connect to, preventing access to unapproved or untrusted servers.
  • Contextual risk scoring: Evaluating each agent action against its context — a DROP TABLE in a staging environment is different from one in production.

3. Coach

Not every risky action should be blocked. Sometimes the right response is to inform the developer in real time: "Your agent is about to delete a production database backup. Are you sure?" Coaching turns the AASB from a blunt gate into an intelligent co-pilot for safe agent usage.

This also includes generating compliance-ready audit logs of every action an agent takes, giving security teams the evidence they need for SOC 2, ISO 27001, and internal reviews.

Why Now?

The urgency is real. MCP adoption is accelerating. Cursor alone has millions of developers, and MCP server registries are growing weekly. Every new MCP server is a new attack surface — and a new vector for data leakage, privilege escalation, or supply-chain compromise.

The enterprises that led CASB adoption a decade ago are the same ones now asking: How do we govern AI agents? The AASB is the answer.

Unbound Security is building the first AASB. We give security teams full visibility and control over AI coding agents — without slowing developers down. Get in touch to learn more.