Built for the AI Security Era
Traditional SIEMs can't handle AI workloads. Queries are too slow and too expensive for agents to explore freely. Scanner is the only security data lake with the speed and economics to make AI-driven security actually viable.
Traditional SIEMs can’t support AI
AI agents need to iterate, explore, and query freely. Traditional systems are too slow and too expensive for this.
Too Slow for AI Iteration
AI agents need to run dozens of exploratory queries to understand data and find threats. When each query takes 30 minutes, AI investigations timeout or become impractical.
Scanner's sub-second queries let AI agents iterate freely, running 20+ queries in the time traditional systems complete one.
Too Expensive for AI Workloads
AI agents don't know which queries will be useful until they run them. Traditional systems charge $50-100 per query, making AI exploration prohibitively expensive.
Scanner's query costs ($0.01-$0.10) make it economically viable for AI to explore freely without budget constraints.
How Scanner enables AI
API-first architecture, native MCP support, and economics built for AI workloads.
Native MCP Support
Fast access to your Security Data Lake with Model Context Protocol. AI agents get structured access to your security data through a standardized interface built for intelligence tools.
Works with Claude Desktop, Claude Code, Cursor, and any MCP client.
API-First Architecture
Every query, every dataset, every detection rule accessible programmatically. Built for integrations, automation, and custom workflows from day one.
RESTful APIs with comprehensive documentation. Connect Scanner to your existing tools, SOAR platforms, and security stack.
Built for AI Workloads
Fast and economical enough for AI to iterate freely. Inverted indexes and streaming architecture make exploratory queries practical where they'd timeout or cost too much in traditional systems.
AI needs complete context to be effective. Scanner delivers years of data with queries that only take seconds to complete.
What you can build
Real workflows teams are running today with Scanner's AI-first architecture.
Natural language investigation
"Show me all S3 access from this IP in the last 30 days, then check what else they did." AI translates to queries, explores data, and generates comprehensive reports—no query language required.
Migrate detection rules
Paste Splunk/Sumo/Datadog queries into Claude. AI converts them to Scanner query language, tests them on your data, and suggests tuning. Migrate hundreds of rules in hours, not weeks.
Alert triage automation
AI agent reads alert, queries related logs, checks past investigations for context, and generates triage report. Escalates high-confidence threats, suppresses known false positives.
Threat hunt from IOCs
"Check if we're affected by [breach report URL]." AI extracts IOCs, searches 3 years of logs across all sources, correlates findings, and generates impact assessment—fully automated.
Detection gap analysis
AI reviews your detection rules, maps to MITRE ATT&CK, identifies coverage gaps, and suggests new detections based on your environment and threat landscape.
Custom security workflows
Build exactly what your team needs. Query Scanner from notebooks, scripts, or automation. Same speed as the UI. Integrate with your existing tools and processes.
Ready to build AI-powered security?
See how Scanner's speed and API-first architecture enables security workflows that weren't possible before.