Integrations connect AI agent security to the systems a security team already runs. Your identity provider and device manager say who and which machine each AI agent works for, and your SIEM, SOAR and chat tools receive what the platform finds.
In Autonomous this is the Operation Layer: the management console, a public API and webhooks, audit logs streamed to your SIEM, and alerts in Slack. It sits beside the Autonomous Engine, which discovers AI agents and protects them at runtime.
On the left, what the platform reads from the systems you run; on the right, where it sends what it finds. Each arrow says what it carries, and each system leads to its part of this page.
AI agent security finds things a SOC has not seen before: an agent reading the keychain, a skill carrying a secret, a prompt injection followed by a tool call. A finding that stays in one more console is a finding nobody acts on.
Across 100,000 enterprise sessions, our research found 730 that dumped environment variables, 430 that touched a developer credential store and 126 that read the OS keychain. Each of those belongs next to the rest of your alerts, with the person and the device behind it, so the analyst who picks it up knows whose laptop to call.
Source: The Hidden Security Risks in 100k Enterprise AI Sessions
Connect Okta or Microsoft Entra ID, and your MDM or EDR. Every agent, session and finding now has a person, a team and a machine behind it, and policies can follow your groups.
Send audit logs to your SIEM, findings to a webhook and alerts to Slack, each with the kinds of events it takes and a severity floor. SIEMs get everything by default; the webhook and Slack, high and above.
Give your SOAR or ticketing tool a scoped API key. It pulls findings, opens a ticket for each, and pushes the decision back, so the console and your tools never disagree.
Names, devices and activity from the systems that already know them, so a finding says whose agent, on which machine.
Users and their groups sync from Okta or Microsoft Entra ID, so every session and finding has a person's name on it, and policies can be scoped to teams by the groups you already keep.
Your device manager or EDR supplies the fleet: every machine, whether the endpoint agent runs on it, and the groups to deploy it to. JumpCloud and Iru (Kandji) can push the agent in one click; the others list the devices it should be on.
AI used where no endpoint agent can see it is read from each vendor's own compliance API and joined to the same people and sessions. Claude Enterprise can also have guardrails check each prompt before inference; ChatGPT Enterprise and Microsoft 365 Copilot sessions are recorded and joined to the same people.
Connect the GitHub App, or GitLab on GitLab.com or self-hosted, so the scanner can check your private repositories: the MCP servers and skills your own teams build, before agents load them.
The Operation Layer: what the platform finds reaches your team in the console, your SIEM and SOAR, and Slack, each destination with the kinds of events and the severity floor you choose.
Where your team works the list itself: a graded posture, one findings worklist sorted worst first, triaged in bulk (dismiss, acknowledge, snooze, assign an owner), with every session, policy and the organization's audit log.
A versioned REST API pulls findings into a ticketing system, a dashboard or a report, and pushes triage and comments back. The findings webhook posts each finding as it appears or its triage changes, above the severity you choose, so your SOAR or ticketing tool opens one ticket per finding and updates it after.
Audit logs stream to Splunk through its HTTP Event Collector, to any OpenTelemetry collector over OTLP/HTTP, to a syslog collector over TCP, UDP or TLS, or to Coralogix; IBM QRadar pulls them. Choose which kinds of events go (alerts, sessions, console, MCP gateway, enforcement) and from what severity. SOAR tools take findings through the webhook and the API.
Real-time alerts to a Slack channel or any webhook, high severity and above unless you choose otherwise. Each Slack alert carries what happened, its key fields and a link to the matching activity, filtered to the person who acted.
Yes. Users and groups sync from Okta or Microsoft Entra ID, and devices from CrowdStrike Falcon, Microsoft Defender or your MDM. Audit logs stream to Splunk, IBM QRadar, OpenTelemetry, Syslog or Coralogix, and findings reach Slack or any webhook.
Splunk, IBM QRadar, OpenTelemetry, Syslog and Coralogix, and you can add more than one destination of a kind. Any SIEM that accepts OpenTelemetry or syslog works through those.
Yes, through the findings webhook and the API. The webhook pushes each finding with an id that stays the same for its whole life, so your playbook opens one case and updates it, and the API takes the triage decision back.
Yes. It is versioned in its path, and changes within a version are additive: new fields and new values may appear, nothing you rely on is removed. An OpenAPI document describes the whole contract for code generators.
Each request to Splunk, OpenTelemetry, Slack or a webhook waits 10 seconds and is retried up to 3 times, and any destination we stream to that stops accepting events shows as failing on its card. IBM QRadar pulls its logs instead. Findings sent by webhook are kept and retried with a growing delay until your endpoint answers, at least once, each with a delivery id to drop repeats.
Yes. Your people sign in to the console through your identity provider over SAML, and SCIM provisions their accounts from it. Role-based access sits on top, and we turn it on for your organization with you.
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