RAD Security
RAD Security delivers behavioral fingerprinting technology that uses AI-powered detection to identify threats in cloud-native environments. Their platform combines runtime protection with automated response capabilities to help security teams detect and respond to attacks faster.
Demo Storyline
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- Company Overview
RAD Security tackles cloud-native security challenges by focusing on runtime protection. They built a team of security and cloud experts after seeing traditional approaches fail in dynamic environments. Backed by venture capital, they help diverse industries secure cloud apps without sacrificing speed or innovation.
- James’ Corner
RAD has been an innovative cloud security company, first with robust anomaly detection, and now with agentic AI workflows. They’re always focused on delivering results to their customers that actually move the security needle and improve day to day usability.
James Berthoty has been in technology for over 10 years across engineering and security roles. An early advocate for DevSecOps, he has a passion for driving security teams as contributors to product and built Latio Tech to help connect people with the right products. He lives in Raleigh, NC with his wife and three children.
- Demo Overview
- AI Generated
Jimmy Mesta demonstrates RAD Security's AI-powered cloud security platform that uses behavioral fingerprinting to detect threats in real-time. The solution creates unique behavioral baselines for each application using eBPF technology, then leverages AI to identify drift and potential attacks. Key features include Rad Bot natural language interface for security operations, automated workflow generation, and advanced integrations with development tools like Cursor and Claude Desktop through their MCP server implementation.
- RAD Security is a Great Fit For:
Organizations prioritizing runtime security over configuration management. Perfect for development teams building cloud-native applications who need security that works at application speed. Ideal for companies with mature DevOps practices looking to add security without disrupting workflows. Especially valuable for businesses running microservices and containerized applications that need real-time threat detection with minimal false positives.
- RAD Security Key Features
RAD Security uses patented behavioral fingerprinting technology to create unique profiles for each running application. Their platform combines eBPF runtime telemetry with AI-powered detection engines to identify threats without relying on traditional signatures. They provide HTTP/HTTPS traffic inspection with PII detection, automated response capabilities, and natural language interfaces for security operations. Their platform includes vulnerability management with reachability analysis and upgrade recommendations.
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- Who Should Use RAD Security?
Organizations with dynamic, ephemeral workloads where traditional scanning approaches fall short. Development teams practicing continuous deployment who need security that keeps pace with rapid changes. Companies concerned about zero-day threats and sophisticated attacks that bypass preventative controls. Security teams looking to leverage AI for faster threat detection and incident response while reducing false positives.
- RAD Security Use Cases
Companies use RAD Security to protect containers and Kubernetes clusters with behavioral analysis rather than signature-based detection. Security teams gain real-time visibility into application behavior and quickly spot anomalies indicating potential breaches. DevOps teams integrate security into CI/CD pipelines using AI-powered workflows, while incident response teams leverage Rad Bot for natural language investigation and automated response actions.
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- What Makes RAD Security Different?
RAD Security stands out by focusing on AI-native detection that goes beyond traditional signatures and rules. Their behavioral fingerprinting technology creates unique application profiles that adapt over time, reducing false positives while catching sophisticated attacks. They offer natural language interfaces for security operations, automated workflow generation, and advanced AI integrations with development tools. Their platform combines runtime protection with vulnerability management and automated response capabilities in a single AI-powered solution.
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