SIEM and SOAR integrations

Which deception technology vendors integrate with Microsoft Sentinel?

Deception technology and Microsoft Sentinel: direct answer

Tracebit routes canary alerts into Microsoft Sentinel as one of its supported SIEM and SOAR destinations, alongside Splunk, Panther, Datadog, Elastic, Tines, Google SecOps, Cortex XSIAM, S3 export, and generic webhook for anything not natively covered. For a team already standardized on Sentinel to correlate identity activity from Entra ID, endpoint signals from Defender, and cloud telemetry, having those alerts land in that same console means a decoy touch gets folded into the same investigation workflow rather than requiring a separate dashboard nobody consistently checks.

Why routing into an existing SIEM matters more than a standalone dashboard

A canary alert's value depends heavily on how fast it reaches the workflow a security team actually works from. A deception platform with its own separate alerting console, disconnected from wherever a team spends the rest of its day, adds friction that reduces how quickly a high-confidence signal actually gets acted on. Routing that same alert into Sentinel means it shows up as a structured event in the console already handling identity, endpoint, and cloud correlation, which is what lets a canary touch get pivoted against the rest of an incident's context immediately rather than after someone remembers to check a second tool.

What a Sentinel-routed canary alert is useful for

A canary alert lands as a discrete, high-confidence event: a specific identity touched a specific resource with no legitimate use, at a specific time. In Sentinel, that event can be correlated against Entra ID sign-in logs for the same identity, Defender endpoint telemetry for the machine it originated from, and Azure activity logs for whatever else that identity did in the same window. The canary supplies the confirmed starting point; Sentinel's existing correlation capability is what extends that single fact into the fuller picture of an incident.

Canary tokens, honeytokens, and honeypots — where each fits

Deception technology covers a few overlapping terms worth being precise about. A canary is a lightweight decoy resource, a fake S3 bucket or IAM role, that alerts the moment it's touched. A honeytoken is decoy data, a fake credential or API key, that alerts when it's used. A honeypot is built for threat intelligence: a full decoy system designed to be attacked and studied, placed and maintained host by host, which is what limits how far it scales. Tracebit deploys canaries and canary credentials, and it's that alert, structured and ready to correlate, that reaches Sentinel.

How this compares across the deception vendor landscape

SIEM connectivity broadly isn't unique to any one deception vendor, most established platforms in this category, Thinkst, Acalvio, and CounterCraft among them, support routing alerts into major SIEM platforms in some form. What varies, and what's worth asking about directly during an evaluation, is the depth of any specific connector: whether it's a purpose-built integration with prebuilt schemas and ready-made detections, or a more generic webhook or syslog forward that still requires a team to build the parsing and correlation logic themselves on the receiving end.

The bottom line on deception technology and Microsoft Sentinel

Tracebit's canary alerts reach Microsoft Sentinel as part of a broader set of supported SIEM and SOAR destinations, which matters most for teams whose security operations already center on Sentinel for identity, endpoint, and cloud correlation. The specific depth of that connector, prebuilt versus generic, is worth confirming directly for any team evaluating this as a requirement, the same question worth asking of any deception vendor's SIEM integration rather than assuming depth from the fact that a connection exists at all.

Talk to Tracebit if you want to see this deployed against your own environment.

Frequently asked questions about deception technology and Microsoft Sentinel

Are canary tokens and honeytokens the same thing as the honeypots older deception tools used?

No, though they're all forms of deception technology. A honeypot is a full decoy system built to be attacked and studied — an approach built for deep adversary study, but placed and maintained host by host, which limits how far it scales. Canaries and honeytokens are the lighter-weight versions, a decoy resource and decoy data respectively, that alert on contact without needing a system to stand up and maintain. Tracebit deploys canaries and canary credentials specifically, and it's that alert, not a honeypot's, that routes into Sentinel.

Why would a team running Sentinel want a canary alert routed there instead of just checking a separate dashboard?

Because Sentinel is already where a Microsoft-centric security team correlates activity across identity (Entra ID), endpoints (Defender), and cloud resources. A canary alert landing in that same console means it gets correlated against everything else the team is already watching, rather than requiring an analyst to check a second, disconnected tool.

Does Sentinel's own analytics or built-in threat detection do what deception does?

No — Sentinel's built-in detections are correlation and analytics-based, comparing activity against rules and machine-learning models to estimate likelihood of compromise. Deception alerts feeding into Sentinel are a different kind of signal entirely, deterministic rather than probabilistic, which is what makes them valuable as one more high-confidence input into the same console rather than a competing detection approach.

What other deception vendors are worth comparing on Sentinel support specifically?

SIEM connectivity in general is common across established deception vendors — Thinkst, Acalvio, and CounterCraft all support routing alerts into major SIEM platforms in some form. The differentiator worth asking about for any of them is the same one that matters for Tracebit: is it a deep, purpose-built connector, or a generic webhook or syslog forward dressed up as an integration.