Application errors are often the first symptom of a security problem. Kikimora reads Sentry so exception spikes, auth failures, and suspicious patterns surface in the same conversation as your infrastructure findings.
Catch security signals in your errors from one conversation
The integration covers the error and exception data Sentry collects: issues and events filtered by environment and severity, auth-related error patterns, and the timing that links a spike to a deploy. A sudden run of failed logins or a wave of unexpected exceptions after a release is often the earliest sign something is wrong, and seeing it next to your cloud and code findings turns a hunch into a timeline. Sentry is usually framed as a reliability tool, but the same data is a security feed if you read it that way. A burst of authentication failures can be a misconfigured client or a credential-stuffing attempt, and the exception that mentions a path it should never touch can be the first trace of someone probing the app. The agent lets you ask the security question of the same data your engineers already collect, without standing up a separate pipeline.
What you can do
- Query recent exceptions filtered by environment and severity.
- Spot auth-related error patterns worth investigating.
- Correlate an error spike with a deploy or an infrastructure change.
Things you might ask
- “Show me the authentication failures in production over the last hour and which service they hit.”
- “Which new exceptions appeared right after this morning’s deploy?”
- “Are there errors that look like injection or path traversal attempts?”
Sentry tells you something is wrong. Pair it with the ServiceNow integration so that when an error spike turns into a real incident, the agent can open a ticket with the context already attached, and the response stays in one conversation.