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Cyren threat intelligence meets Vaikora runtime enforcement: stopping AI agents that act on stale or poisoned email

Product Updates · Nov 11, 2026 · 3 min read

Security teams often treat email threat intelligence and AI agent policy as two separate problems. They are not. When an AI agent reads mailbox data, processes attachments, or acts on links extracted from messages, the quality and freshness of your email threat intelligence directly affects what that agent does next.

The specific risk

An AI agent configured to triage email, extract indicators, or automate response workflows will act on what it reads. If a message contains a URL that your email security layer has not yet flagged, the agent may retrieve that URL, pass it downstream, or take an action based on its content. The window between when malicious infrastructure goes live and when it gets flagged in a threat feed is exactly where agents cause damage without any single human decision authorizing it.

Cyren addresses the upstream half of this. Its GlobalView telemetry network processes over a billion email, URL and file transactions a day. That scale lets Cyren detect phishing and malicious infrastructure during staging, before campaigns are weaponized. The signal arrives early, which matters if an AI agent is about to touch a message.

Where Vaikora fits

Cyren controls what gets classified as malicious. Vaikora controls what an AI agent is allowed to do with that classification, and with everything it encounters before classification has run.

Vaikora sits inline between the agent and every tool or LLM call it makes. Before the agent executes an action, Vaikora evaluates it against deterministic policy and returns one of four decisions: allow, block, modify, or require approval. The same input always produces the same decision. There is no probabilistic judgment at the enforcement layer.

If a Cyren indicator flags a domain as malicious and that domain appears in a URL the agent is about to fetch, Vaikora blocks the fetch before it executes. If the agent attempts to forward a message containing that domain to an external address, Vaikora intercepts that action too. The policy applies at the moment of execution, not after the fact.

Vaikora pushes AI agent threats into SentinelOne as threat intelligence indicators, severity-mapped with Critical at 100, High at 75, Medium at 50 and Low at 25. It promotes high-severity AI agent risk into Azure Security Center and Microsoft Defender for Cloud as native incidents, with no custom engineering.

A concrete workflow

Consider an AI email triage agent running in a Microsoft 365 environment. The agent is authorized to read messages, extract URLs, and create calendar events or tickets based on content.

Cyren is analyzing mail through the customer's own Azure subscription, connected via Microsoft Graph with no MX record change. It flags a domain used in a credential-harvesting campaign before the campaign fires at scale. That signal reaches your Sentinel workspace.

The agent reads a message containing that domain. Without a runtime gate, the agent proceeds. With Vaikora inline, the domain lookup and any downstream action are evaluated against policy before execution. The agent does not fetch the URL. The block is written to Vaikora's SHA-256 hash-chained audit log, which creates a tamper-evident record of the decision, the timestamp, the input, and the policy that applied.

The audit entry is available for investigation, compliance review, or incident response without reconstructing what the agent did from logs that were never designed to capture intent.

What to check in your environment

If you are running AI agents with access to email data, check three things:

• Whether your email threat intelligence signal reaches your runtime enforcement layer before the agent acts, not only after a human reviews a report.
• Whether your AI agent policy applies deterministically, meaning the same input produces the same block every time, with no model judgment in the enforcement path.
• Whether every agent decision produces an auditable record that satisfies your compliance preset requirements. Vaikora ships presets for HIPAA, PCI-DSS, GDPR, SOC 2 and ISO 27001.

The gap between early-stage threat detection and agent-level enforcement is where these two controls need to connect. Start by mapping which of your AI agents have access to mailbox data, what tools they can call, and whether any policy currently governs what they do with the content they read.

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