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Cyren GlobalView telemetry and Vaikora enforcement: closing the gap between early detection and blocked action

Product Updates · Nov 6, 2026 · 4 min read

Knowing about a threat before it fires is only useful if that knowledge reaches the control that can act on it. Cyren detects malicious infrastructure during staging. Vaikora blocks AI agent actions based on live threat intelligence. This article explains what happens in the gap between those two events, and what you need to wire them together.

What Cyren actually sees, and when

Cyren's GlobalView telemetry network processes over a billion email, URL and file transactions a day. That scale matters for one specific reason: threat actors test infrastructure before deploying it. A domain gets registered, mail records are configured, a small number of test messages go out. At that volume, Cyren sees the test traffic. The staging-phase signal reaches Cyren before most organizations have received a single phishing message from that infrastructure.

The output is not just a list of bad domains. Cyren structures indicators by type, severity and context. Those indicators flow into Microsoft Sentinel (via the CCF connector in Sentinel Content Hub), CrowdStrike Falcon, and SentinelOne.

That is detection. The question is what happens when an AI agent encounters the same infrastructure.

Where AI agents meet threat intelligence

An AI agent browsing the web, following a redirect, calling an external API, or processing an email payload can reach a domain that Cyren has already flagged. Without a control point between the agent and that action, the threat intelligence sitting in your SIEM does nothing to stop the call.

Vaikora sits inline between an AI agent and the tools or LLMs it calls. Before the agent executes any action, Vaikora checks it against policy. That policy can include threat intelligence feeds. If Cyren has flagged a domain as malicious infrastructure, and that domain appears in an agent's pending tool call, Vaikora can block the action before it executes.

The decision is deterministic. Identical input produces identical output. The result is written to a SHA-256 hash-chained audit log, so you have a tamper-evident record of every action blocked, allowed, modified, or held for approval.

A concrete scenario

Say an AI agent is processing inbound email content on behalf of a user. It extracts a URL from the message body and prepares to fetch that URL to summarize the linked page. The domain in that URL was registered three days ago and appeared in Cyren's staging-phase telemetry yesterday.

Without a control point: the agent fetches the URL, executes whatever the page delivers, and the first signal your SOC sees is the alert after the fact.

With Vaikora inline: the fetch action is checked against policy at P50 8ms, P99 45ms. If the policy rule references Cyren's indicators, the domain matches, and Vaikora issues a block decision. The agent never reaches the malicious infrastructure. The blocked action is signed into the audit chain with the full context: agent identity, action type, matched indicator, policy rule triggered, and timestamp.

Your SOC receives a structured event. The incident is already attributed, already auditable, and the exposure never happened.

What you need to connect these two controls

Cyren's indicators land in Sentinel through the packaged CCF connector. Vaikora integrates natively with Microsoft Sentinel and pushes AI agent threats into the same environment. Vaikora also integrates with CrowdStrike Falcon and SentinelOne, the same platforms Cyren pushes indicators into.

That overlap is not accidental. It means the enrichment Cyren produces and the enforcement Vaikora applies can share the same indicator store without custom engineering. High-severity AI agent risk from Vaikora promotes into Azure Security Center and Microsoft Defender for Cloud as native incidents.

The practical wiring looks like this:

• Cyren indicators land in Sentinel via the CCF connector
• Vaikora reads from that indicator set as part of its policy evaluation
• When an agent action matches a Cyren-flagged indicator, Vaikora issues its enforcement decision
• The blocked action writes to Vaikora's audit log and Sentinel receives the correlated event

What to check next

If you are already running Cyren through Sentinel, the first thing to verify is whether your AI agent traffic is visible at all. If agent tool calls are not passing through an inline control point, your threat intelligence is enriching your SIEM without reaching the actual execution layer.

Check whether Vaikora Guard MCP is deployed for your MCP-compatible agents. It is published on PyPI as `vaikora-guard-mcp`, MIT-licensed, and self-hosted. For enterprise policy management and the Sentinel integration, the Vaikora Control Plane is the next step. If Cyren indicators are already in your environment, the integration path to enforcement is shorter than you might expect.

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