R.AI.DIO® Signal Triage - RF Analysis

## How It Works

R.AI.DIO® Signal Triage ingests unprocessed radio frequency data files, applies user-defined parameters to detect signals or areas of interest, and produces a structured output summary for further manual exploration. The workflow is straightforward:

• **Ingest:** Supply raw RF data files in SigMF format.
• **Configure:** Define detection parameters such as frequency ranges, signal characteristics, and priority thresholds.
• **Process:** The tool automatically scans the dataset, detecting and characterizing signals that match your criteria.
• **Output:** Receive summary output files in CSV, JSON, or SigMF cataloging all identified signals of interest with relevant metadata.

## Key Capabilities

• **Automated Signal Detection and Prioritization:** Replaces labor-intensive manual spectrum analysis, enabling analysts to focus on high-priority signals rather than sifting through raw data.
• **Scalable Processing:** Handles large RF datasets, allowing organizations to process volumes of collected spectrum data that would be impractical to review manually.
• **Flexible Output Formats:** Produces structured summaries in CSV, JSON, or SigMF, enabling seamless handoff to downstream exploitation tools and analyst workflows.
• **AWS-Native Deployment:** Runs as a container on Amazon ECS with data ingestion from Amazon S3, keeping all processing within your own AWS environment.

## Security and Data Handling

R.AI.DIO® Signal Triage is deployed entirely within your AWS account. RF data remains in your environment and is not transmitted to external systems. The container operates within your VPC, leveraging AWS-native security controls including IAM for access management and S3 encryption for data at rest. Customers retain full control over network policies, encryption configurations, and data residency.

## Use Case Example

A defense SIGINT analyst collecting hours of spectrum data during a mission can use R.AI.DIO® Signal Triage to automatically scan the entire collection, surfacing only the signals that match mission-relevant parameters. This reduces analyst workload and accelerates time-to-decision for mission-critical intelligence.

## Deployment

R.AI.DIO® Signal Triage is delivered as a container product on AWS Marketplace. It can be deployed on Amazon ECS within your AWS environment. The deployment process involves pulling the container image, configuring an ECS task definition, setting appropriate IAM roles, mounting your S3 bucket for data ingestion, and running your first processing job.

## Getting Started

To request a guided demonstration or discuss a pilot deployment, contact the Booz Allen Hamilton team. The team will work with you to scope your use case, configure detection parameters, and validate results against your operational data.

## Requirements and Limitations

• Requires an active AWS account with permissions to deploy container workloads.
• Input data must be unprocessed radio frequency data in SigMF format.
• The tool detects and characterizes signals of interest but does not demodulate or decode signal content.
• Output is a summary file for analyst review; downstream exploitation requires separate tooling.

For detailed technical prerequisites and deployment guidance, contact the Booz Allen Hamilton team.