Amplify Your Team’s Impact with Daylight MCP
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Modern SOCs run on urgency. Every second matters and every decision depends on context. Yet even the strongest teams are overwhelmed by alerts, multiple consoles, and fragmented telemetry that never forms a complete picture. The burden is not only operational, it is cognitive. The result is fatigue, not protection.
But what if that changed?
What if the same AI assistant you rely on to write, code, and reason could also understand your security operations?
This is what the Daylight Model Context Protocol (MCP) integration delivers.
With the introduction of the MCP Server, Daylight opens a new chapter in its mission to make the SOC smarter, more connected, and increasingly autonomous. This is more than an integration. It is the beginning of a new era where humans and AI work together as one defense system. Complexity becomes clarity. Speed becomes confidence.
Until now, Daylight’s Managed Agentic Security Services operated as a powerful and self-contained environment that automated detection, investigation, and response. As AI assistants like Claude, Cursor, and VS Code Copilot became part of daily workflows, we saw an opportunity to extend Daylight’s intelligence beyond the console and bring it directly to users.
Daylight, Available Where You Already Work
With the Daylight MCP Server, MCP compatible AI assistants can securely connect to Daylight and retrieve investigation context directly through Daylight’s APIs.
Instead of switching tools, teams can use AI assistants like Claude, Cursor, or VS Code Copilot to ask questions about alerts, cases, and investigations, and receive answers grounded in Daylight data.
This does not replace the Daylight console. It complements it by making Daylight’s intelligence available inside the workflows teams already rely on.
What Becomes Possible with Daylight MCP
Connecting AI assistants to Daylight changes the pace and feel of investigations.
Teams can:
- Ask natural language questions about active alerts and cases
- Review timelines and investigation artifacts without opening another tool
- Correlate telemetry across supported sources exposed by Daylight
- Generate clear summaries for handoffs, leadership updates, or escalation
The result is faster orientation, fewer context switches, and smoother investigation flow.
A Day in the SOC with Daylight MCP
It is the start of a new shift.
An analyst opens their AI assistant, not a dashboard. Instead of clicking through alert queues, they ask a simple question:
What is active right now and what changed overnight?
The assistant pulls the investigation context exposed by Daylight and responds with a concise summary. Open alerts, their severity, affected assets, and notes from the previous shift are all there. No scrolling. No filtering. Just enough context to get oriented and start working.
A few hours later, the same investigation needs to be communicated to two very different audiences.
Leadership wants a high level update. What happened, what matters, and whether there is risk. At the same time, another analyst coming on shift needs a technical handoff with timelines, signals, and what has already been ruled out.
Using the same Daylight sourced context, the analyst asks their AI assistant to generate two summaries. One is short and outcome focused. The other is detailed and technical. Both are consistent, current, and grounded in the same investigation data.
No manual rewriting. No copy pasting between tools. No risk of summaries drifting out of sync with the actual case.
The analyst stays focused on the investigation. Reporting becomes a byproduct, not a distraction.
That is the impact of bringing Daylight context directly into the workflows teams already use.
Flexible Exploration Without Breaking Boundaries
Some investigations require quick, guided answers. Others benefit from exploration.
With MCP enabled AI assistants, analysts can explore the data and context that Daylight exposes through its APIs using natural language. This enables ad hoc analysis and hypothesis testing while preserving clear boundaries around what data is accessible.
Teams gain flexibility without losing control or consistency.
Built on an Open Standard
Daylight uses the Model Context Protocol to connect AI assistants in a standardized, vendor neutral way.
The MCP Server supports:
- OAuth based authentication
- Explicit scopes and permissions
- Session level auditability
This allows organizations to adopt MCP without custom integrations or changes to their security model.
Designed for Security Teams
All MCP interactions with Daylight are authenticated and governed by existing permissions. Activity is logged, access is scoped, and AI assistants operate within the same constraints as human users.
This makes MCP safe to adopt in production security environments.
Get Started
Connecting an AI assistant to Daylight through MCP takes minutes. Once connected, teams can immediately start querying alerts, reviewing investigations, and summarizing security activity from their AI workspace.
Daylight MCP does not promise magic. It removes friction.
And in security operations, that difference matters.
