AI Agents
Specialized AI agents that automate security tasks with intelligent analysis and integration capabilities
Coming Soon - AI Agents functionality is currently under development and will be available in an upcoming release.
AI Agents automate security tasks by connecting to your security tools and data sources. Each agent focuses on a specific security domain and operates continuously to provide security analysis and automated responses.
AI Agent Architecture
RAD's AI Agents integrate with your existing security infrastructure to perform specialized security functions using advanced language models and real-time data analysis.
24/7 Automation Continuous monitoring and analysis without human intervention
Intelligent Insights AI-generated findings, recommendations, and actionable intelligence
Tool Integration Direct integration with your existing security tools and data sources
Customizable Behavior Tailor agent behavior to match your specific security requirements
Pre-Built AI Agents
RAD Security includes four specialized AI Agents, each optimized for specific security domains:
Cloud Security Agent Model: claude-3-7-sonnet | Status: Active
Specialized AI agent for monitoring and analyzing cloud infrastructure security across AWS, GCP, and Azure environments. Automatically detects misconfigurations, compliance violations, and security gaps in your cloud infrastructure.
Vulnerability Agent Model: claude-3-7-sonnet | Status: Active
Automated vulnerability assessment and remediation tracking across all infrastructure components and dependencies. Identifies critical vulnerabilities, tracks remediation progress, and provides prioritized recommendations.
GRC Agent Model: claude-3-opus | Status: Active
Governance, Risk, and Compliance automation for SOC2, ISO 27001, HIPAA, and other regulatory frameworks. Ensures continuous compliance monitoring and generates audit-ready reports.
Runtime Triage Model: claude-3-7-sonnet | Status: Active
Real-time monitoring and triage of runtime security threats, anomalous behavior, and container security violations with immediate incident response capabilities.
Configuring AI Agents
AI Agent Insights
AI Agents generate intelligent insights based on their analysis of your security environment:
Agent Playground
Test and interact with your AI Agents in a safe environment:
Metrics and Monitoring
Track AI agent performance and effectiveness:
Best Practices
Getting Started
Ready to deploy AI Agents in your environment?
Step 1: Navigate to AI Agents Access the AI Agents section in your RAD Security platform
Step 2: Review Pre-built Agents Explore the four available agents and their capabilities
Step 3: Select and Configure Choose an agent and configure triggers, integrations, and system prompts
Step 4: Test in Playground Validate agent behavior and integration access
Step 5: Enable and Monitor Deploy the agent and track its insights and performance
Pro Tip: Start with the Vulnerability Agent for immediate value, then expand to other agents as you become comfortable with the platform. Use the playground to test different scenarios and refine your system prompts before deploying to production.