Businesses are deploying AI agents into production workflows at a pace that has outrun the tools available to govern them. Alterion is aiming to fix that. On July 16, 2026, the company announced the general availability of Draco, a runtime control plane built specifically to give enterprises visibility and enforced governance over every AI agent they run, across every cloud, vendor, and endpoint.

The pitch is straightforward: most organisations deploying agents have no way to see what those agents are actually doing at runtime. Logs and metrics can tell you what happened. Draco is built to tell you what is happening, and to stop it if it is not supposed to.

What Draco Does

Draco sits between AI agents and the infrastructure they operate on. It observes every prompt, action, and payload flowing through production agents in real time, models agent behavior over time, and applies programmable guardrails that can intervene before a high-risk action is taken.

That last part matters. Traditional monitoring catches problems after the fact. Draco is designed to catch them before a poorly behaving agent executes a financial transaction, accesses data it should not, or takes an action that violates a compliance rule.

Key capabilities include:

• Intent interpretation — Draco reads agent reasoning, not just outputs, identifying when behavior drifts from expected patterns or crosses policy thresholds
• Real-time guardrails — Programmable rules that block or flag actions before execution, without requiring changes to agent code
• Compliance mapping — Built-in support for SOC 2, ISO 42001, and the EU AI Act, with audit trails that document every agent decision
• Unified visibility — A single control layer that spans agents running across different clouds, vendors, and internal environments

The platform requires no code changes to existing agents and no SDK integrations. Alterion says organisations can be live within a week.

Why This Is Emerging Now

Alterion was founded by Alharith Hussin, a former McKinsey partner, and Asim Husain, a long-time Google Engineering VP. The pair identified a specific gap that traditional APM tools, SIEM platforms, and AI observability vendors had left open: none of them were built to interpret agent intent.

Security tools capture logs. Observability platforms capture metrics. But when an AI agent takes a multistep action across tools and systems, none of those platforms can tell you whether the agent understood what it was supposed to do, or why it made the decisions it made.

As AI agents take on increasingly consequential work, that gap becomes a real business and regulatory risk. The EU AI Act transparency guidelines published on July 20, 2026 make documentation and accountability a legal obligation for deployers of AI systems. SOC 2 auditors are beginning to ask about agent oversight. Enterprise risk teams are asking questions that current tooling cannot answer.

Draco is built for exactly this environment.

What This Means for Business

If you are building or deploying AI agents inside your business, you are now operating in a space where governance is not optional. Regulators, auditors, and enterprise procurement processes are all beginning to require evidence that you know what your agents are doing and that you can control them.

That creates a new checklist for any serious AI deployment:

1. Can you see what your agents are doing in real time? Not in logs after the fact, but while they are acting.
2. Can you enforce rules without redeploying your agent? Guardrails that require code changes slow everything down.
3. Can you prove compliance to an auditor? AI Act, SOC 2, ISO 42001 obligations are not hypothetical.
4. Do you have a unified view across agents from different vendors? Most businesses now run Claude, GPT, and fine-tuned models side by side.

If the answer to any of these is no, that is the gap Draco is designed to close.

For organisations early in their agent journey, the right time to think about governance is before you scale, not after an incident forces the issue. The businesses that build governed agent infrastructure now will have a meaningful operational and compliance advantage over those that bolt it on later.

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