How RAD Works

RAD Security acts as your agentic AI security core, using AI agents and runtime sensors to autonomously monitor, analyze, and respond to security threats across your infrastructure.

Technical Approach

RAD Security deploys specialized AI agents that connect to your existing security tools, analyze security data in real-time, and execute automated responses without manual intervention.

Core Architecture

Platform Demo

System Architecture

1. Data Integration

RAD Security connects to your security infrastructure:

• Cloud Platforms - AWS, Azure, GCP, Linode
• Security Tools - SIEM, EDR, vulnerability scanners
• Identity Systems - Active Directory, Okta, Google Workspace
• Infrastructure - Kubernetes, containers, serverless functions
• Knowledge Base (BETA) - Incident reports, playbooks, security documentation

2. AI Analysis Engine

AI agents analyze security data to:

• Detect Anomalies - Identify unusual patterns indicating threats
• Correlate Events - Connect security events across systems
• De-duplicate Results - Consolidate based on root cause
• Assess Risk - Prioritize findings based on business impact
• Generate Insights - Create actionable security recommendations

3. Automated Response

AI agents execute responses when threats are detected:

• Contain Systems - Isolate affected infrastructure
• Collect Evidence - Gather forensic data for investigation
• Notify Teams - Alert security teams with incident details
• Execute Remediation - Apply security patches and fixes

4. Continuous Improvement

Platform adapts through:

• Incident Learning - Incorporates lessons from security events
• Pattern Recognition - Adapts to new threat patterns
• Performance Optimization - Improves detection accuracy
• Policy Updates - Refines security policies based on results

Key Benefits

Getting Started

Ready to experience the power of AI-driven security?