MCP & AI SecOps

Connect AI SecOps agents to your security data via Model Context Protocol.

Scanner enables AI-driven detection engineering, incident response, and threat hunting. Native Model Context Protocol support and dramatically faster query performance make it practical to integrate your security data with AI agents and frameworks—whether you're exploring interactively or building autonomous workflows.

The Challenge: AI Needs Speed and Economy

Effective AI-assisted security requires something different than what traditional data lakes provide. AI agents operate iteratively—they explore, refine, and ask follow-up questions. They don't know in advance which queries will be useful, so they need to experiment freely.

Performance Limitations at Scale

Tools like Amazon Athena and Presto struggle when applied to large-scale security datasets (100+ TB). Queries routinely take 30 minutes, hours, or longer to complete. This breaks the iterative workflow AI agents depend on—by the time results return, investigations timeout or become impractical. An AI agent that could run a dozen exploratory queries in seconds might need hours in traditional data lakes. Scanner solves this with indexed queries that complete in seconds, removing speed as a constraint and enabling real-time investigation velocity.

Cost Barriers to Exploration

The longer queries take, the more compute they consume. A single complex query can cost $100 or more in traditional data lakes. When AI agents must run dozens of exploratory queries, costs accumulate quickly, making unfettered investigation economically infeasible. Scanner makes data lake queries extremely low-cost to execute—queries that would cost $100 in traditional systems cost just cents with Scanner. This eliminates budget constraints, allowing AI agents to explore every hypothesis without rationing investigation.

What's Possible with Scanner MCP and AI SecOps

With speed and cost no longer constraints, AI agents can tackle security operations that were previously impractical. Here's what becomes possible:

Interactive Workflows

Get immediate answers without writing code. Use Claude Desktop, Claude Code, Cursor, or any MCP-compatible client to explore your security data in real time and follow investigative leads as they emerge.

Natural Language Investigations

Describe what you're looking for in plain language: "Show me all S3 access from this IP in the last 30 days, then see what else that account accessed." The AI translates intent into queries, explores the data iteratively, and assembles findings into a coherent report—no query syntax required.

Detection Rule Migration

Point Claude Code at your detection rules from other platforms. Claude uses Scanner MCP to translate them into Scanner's query language, validates them against your data, and tunes them to your specific business context. Reduce weeks of manual migration to hours.

Incident Postmortem Generation

Feed an incident summary to Claude, and it queries Scanner for the timeline, affected systems, root cause analysis, and impact scope. Claude generates a comprehensive postmortem with findings, timeline, and recommendations—all interactively refinable as you ask follow-up questions and request deeper analysis.

Autonomous Workflows

Build AI agents using the Claude Agent SDK that run security operations automatically and continuously. These agents execute complex investigations, triage alerts, hunt threats, and identify gaps—orchestrating your security operations 24/7.

Intelligent Alert Triage

An AI agent analyzes incoming alerts by querying related logs, searching your investigation history for context, and building a triage assessment. It escalates confirmed threats and filters known false positives, reducing manual work.

Automated IOC-Driven Hunts

Feed the AI a breach report or threat intelligence link. It extracts indicators of compromise, searches your entire log history across all sources, correlates findings, and generates an impact assessment—no manual query writing needed.

Detection Coverage Analysis

Use AI to systematically review your existing detection rules, map them to MITRE ATT&CK frameworks, identify coverage gaps, and recommend new detections tailored to your environment and threat landscape. Scanner MCP ensures the AI has full access to your data for comprehensive analysis.

With speed and cost no longer constraints, your security team can iterate freely on investigations, explore multiple hypotheses, and integrate AI into your daily security operations.

Getting Started

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