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TacitRed and Vaikora together: blocking AI agents that act on identity signals before execution

Product Updates · Nov 12, 2026 · 4 min read

Your SOC already knows that an exposed credential is dangerous. What it may not know is that an AI agent authenticated with that credential is dangerous right now, and that the window between credential exposure and agent action can be measured in seconds.

This article explains how TacitRed identity signals can feed directly into Vaikora runtime policy, so that an AI agent's access is cut before it executes, not after the damage is logged.

Why identity risk and AI agent risk need to be connected

TacitRed monitors compromised credentials, dark-web exposure, leaked secrets, and identity risk at internet scale. It consumes NetFlow telemetry to flag anomalous external connections to known-malicious infrastructure. When a credential appears in a breach dump or a service account starts connecting to suspicious endpoints, TacitRed surfaces that signal with high confidence.

The problem is what happens next in most environments. The alert goes to a queue. An analyst reviews it. Access is revoked, eventually. Meanwhile, any AI agent running under that identity has already executed dozens of tool calls: file reads, API requests, database queries. Each one of those was a live risk the team had no visibility into.

TacitRed and Vaikora close that gap by putting the identity signal on the enforcement path before execution.

What the enforcement path looks like

Vaikora sits inline between an AI agent and every tool or LLM it calls. Before each action executes, Vaikora evaluates the request against policy and returns one of four decisions: allow, block, modify, or require-approval.

A policy that consumes TacitRed signals looks like this in practice:

• TacitRed flags a service account credential as compromised with high confidence.
• That indicator is pushed into CrowdStrike Falcon or SentinelOne, where Vaikora pulls it via native integration.
• Any subsequent AI agent action that runs under that identity hits a Vaikora policy rule that blocks the action and writes the decision to the audit log before the tool ever receives the call.

The agent does not get to write, delete, or exfiltrate. The block happens at P50 in 8ms. The audit record is written to a SHA-256 hash-chained log immediately, so there is a tamper-evident record of every action that was blocked and every action that ran before the signal arrived.

What the policy rule actually enforces

A Vaikora policy rule tied to identity risk can be as narrow or as broad as the situation requires. For a compromised credential, a typical rule blocks all write and delete tool calls, routes any read requests to a require-approval queue, and passes the agent's current session context to the incident in Microsoft Sentinel or AWS Security Hub.

TacitRed also surfaces leaked secrets and anomalous external connections. Those signals map to different policy shapes:

• A leaked API key triggers a block on any outbound tool call that would authenticate with that key.
• An anomalous external connection to known-malicious infrastructure triggers a require-approval gate on all network-adjacent tool calls while the investigation runs.

Because Vaikora's decisions are deterministic, the same identity signal applied to the same agent action produces the same outcome every time. That consistency matters for compliance review and for incident response: an auditor can replay the log and see exactly why each action was blocked or allowed.

Where the signals flow

TacitRed ships as a Microsoft Sentinel solution and pushes high-confidence indicators into CrowdStrike Falcon and SentinelOne. Vaikora integrates natively with all three. That means TacitRed identity risk indicators are already on the enforcement path with no custom pipeline to build.

Vaikora also promotes high-severity AI agent risk into Azure Security Center and Microsoft Defender for Cloud as native incidents. When TacitRed flags a credential and Vaikora blocks an agent action tied to it, both signals appear in the same incident view without custom engineering.

For organizations running Vaikora with HIPAA, PCI-DSS, or SOC 2 presets, the identity-risk block is auditable against the relevant control. The hash-chained log gives the evidence chain compliance teams need without manual reconstruction.

What to check next

If your environment uses AI agents authenticated with service accounts or API keys, start by asking which of those credentials TacitRed is monitoring and what the latency is between a credential appearing in a breach source and an access revocation reaching the agent's authentication context. If that latency is measured in hours, the agent has a window to act under a compromised identity that your current controls do not close.

Review your Vaikora policy rules to confirm they include an identity-risk condition sourced from your SentinelOne or CrowdStrike Falcon indicator feed. If that rule does not exist yet, the Data443 documentation for TacitRed's Sentinel solution and Vaikora's native integrations covers the setup step by step.

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