
Integration Partners
The Outerlimit Platform foundationally prioritizes interoperability. We have a large portfolio of integration partners to help your organization accelerate Agentic AI adoption

Securing the Agentic AI ecosystem
Outerlimit partners with the leading frontier AI model platforms, with OpenAI and Anthropic as our strategic integration partners. These partnerships give us early access to model capabilities and security guidance, so we can build agentic AI protections directly into the platform rather than bolting them on after the fact. As the agentic AI landscape evolves, we're committed to expanding these relationships to keep our customers ahead of emerging risks.

Strategic alignment to Microsoft &Â AWS
Microsoft and AWS serve as Outerlimit's premium hosting, go-to-market, and integration partners, reflecting a deep strategic alignment across infrastructure, distribution, and product integration.
As partners, we are active members of both Microsoft and AWS scale-up programs, giving us access to co-investment resources, technical enablement, and joint go-to-market support. Through these programs, we deliver services via marketplace listings and co-sell motions, making it easy for customers to procure Outerlimit and to take advantage of existing spend commitments and streamlined purchasing processes.

Seamless Integration with Your Existing Security Stack
Agentic AI doesn't operate in a vacuum, and neither should the tools that watch over it. Outerlimit's Platform including Discover, Observe, and Enforce, is built to sit alongside the SIEM, SOAR, and XDR investments your security team already relies on, rather than asking them to adopt a new console or a new set of workflows.
Every agent we discover, every action we observe, and every policy we enforce is normalized into the event formats and alerting pipelines your analysts already trust, so agentic AI risk becomes just another signal inside the security operations you run today.

SIEM & SOAR
On the SIEM and SOAR side, Outerlimit ships native, low-latency connectors for Splunk, Microsoft Sentinel, IBM QRadar, Google Security Operations (Chronicle), and ServiceNow Security Operations. Agent inventory changes, anomalous tool calls, data exfiltration signals, and guardrail violations stream directly into these platforms as structured, enriched events, ready to slot into existing correlation rules, dashboards, and case management workflows.
For teams running Splunk or Sentinel, this means agentic AI activity shows up alongside your other telemetry in the same search language and the same investigation timeline analysts already know. Google SIEM customers get the same treatment, with Outerlimit events mapped to Chronicle's Unified Data Model so agentic AI findings correlate natively with the rest of your security telemetry and rule sets.
For SOAR-driven teams on ServiceNow or QRadar, Outerlimit findings can trigger existing playbooks automatically, whether that means opening a case, notifying an owner, or kicking off an automated containment action, without any custom scripting on your side.

XDR
Outerlimit integrates just as deeply with the leading XDR platforms, including CrowdStrike Falcon, Microsoft Defender XDR, Palo Alto Cortex XDR, and SentinelOne Singularity. By correlating agentic AI behavior with endpoint, identity, network, and cloud telemetry from these platforms, Outerlimit helps security teams see the full picture of an incident: not just that an AI agent took a suspicious action, but how that action relates to the broader attack chain across users, devices, and infrastructure. This bidirectional visibility also lets XDR-driven detections inform Outerlimit's own risk scoring and enforcement decisions in real time, so a compromised identity or endpoint flagged elsewhere in your stack can automatically tighten the guardrails applied to any agent acting on that user's behalf.
Beyond these out-of-the-box integrations, Outerlimit exposes open APIs, webhooks, and a flexible connector framework, so security teams using other SIEM, SOAR, or XDR tools, or running a custom-built security data lake, can pull in the same agentic AI telemetry on their own terms. The goal is simple: agentic AI should be visible, governed, and enforceable everywhere your security team already looks, not siloed off in yet another dashboard.


