Introducing the Runtime Threat Detection and Response Skill for headless cloud security

Security consoles are typically built around centralized, vendor-defined interfaces for humans to consume and investigate information. But modern cloud investigations rarely stay in one place. Teams move between collaboration tools, operational workflows, ticketing systems, cloud consoles, and external context sources as incidents unfold.

This is where headless cloud security changes the model.

As outlined in our recent introduction to headless cloud security blog, Sysdig is moving security into the environments where teams already work: AI-native workflows, coding agents, APIs, and automation systems. Instead of forcing teams into another vendor-defined interface, security becomes embedded directly into operational workflows.

One of the first examples of this approach is the new Runtime Threat Detection and Response Skill.

The value of this agent skill is not the conversational interface alone. It is the Sysdig runtime intelligence behind it: high-fidelity runtime signals, contextual detections, related activity, and investigation workflows shaped by years of cloud-native security expertise. This skill makes that intelligence accessible inside the tools where teams are already working.

In the video below, we show how the skill brings Sysdig runtime data and intelligence into Claude to help cloud security and detection and response teams investigate threats without leaving the workflow they are already using.

Bringing runtime intelligence into operational workflows

The Runtime Threat Detection and Response Skill brings Sysdig’s runtime intelligence, detection context, and investigation expertise directly into AI-native workflows.

That matters because real investigations rarely stay neatly inside one tool. A critical alert may start in PagerDuty. The investigation may move through runtime events, cloud activity, collaboration channels, ticketing systems, and external threat context as teams work to understand what happened and what matters most.

With the Runtime Threat Detection and Response Skill, analysts can initiate investigations programmatically and surface prioritized findings, related activity, attack flow context, and recommended next steps directly within Claude.

Anyone who has worked a real cloud incident knows the hardest part usually isn’t finding alerts. It’s figuring out which signals actually belong together.

This workflow is designed to help reduce that burden. Rather than simply exposing raw data through another interface, the skill brings runtime-grounded investigation context into the operational environment where teams are already working.

From runtime signals to investigation context

The demo focuses on a high-severity binary drift event inside a Kubernetes cluster. But the bigger story is not the individual alert. It’s how runtime activity can be connected into a clearer investigation path.

Using Sysdig runtime intelligence, the skill traces related activity across the environment, correlates evidence across assets, and maps the broader attack flow. This helps teams understand the sequence of events, affected resources, and likely scope of the incident without forcing analysts to reconstruct the picture manually across disconnected systems.

The output is a structured investigation report that includes an incident summary, attack flow map, timeline, and recommended next investigative steps. This gives teams a clearer handoff point for response, documentation, and stakeholder communication.

The demo also shows how investigation context can flow into operational systems like Jira. That is important, but it is secondary to the larger shift: Runtime threat investigation no longer needs to stay confined to the security console. Investigation context can move alongside the workflow wherever teams are already coordinating work.

Security workflows are expanding beyond the traditional interface

For security leaders, the challenge is no longer simply collecting more security data. The challenge is helping teams operationalize investigations quickly enough to reduce friction and keep pace with modern threats.

That’s what makes headless cloud security fundamentally different.

The goal isn’t to replace the security console. It’s to extend runtime intelligence and investigation workflows into the systems where teams are already operating.

As AI agents increasingly become part of how engineering and operations teams work, security workflows have to evolve alongside them. Runtime intelligence, investigation context, and response workflows need to be accessible across the interfaces and operational environments teams use every day.

The Runtime Threat Detection and Response Skill is an early example of what that shift looks like in practice. Because in modern cloud environments, the teams that investigate threats fastest are often the teams that contain them fastest too. See how headless cloud security brings runtime intelligence directly into the workflows where teams already operate.

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