We hear it from countless security teams. They aren’t just drowning in alerts—they’re navigating a constant flood of real, high-risk signals coming from cloud logs, runtime activity, identity data, AI workloads, and threat intelligence feeds.

The real problem? No human can process all of this in time. By the time an analyst manually correlates logs, pivots across tools, and pieces together an attack narrative, the adversary has already moved on.

Traditional security tools focus on detection—but detection alone isn’t enough. Attackers move at machine speed, and defenders are stuck trying to keep up manually. Security teams don’t need more dashboards. They need an AI-powered teammate who helps them think and act faster.

Some organizations have tried to build these kinds of AI on their own—but we’ve been working on our approach for years, and now, we’re bringing real-world value to real-life customers with agentic AI.

Enter RADBot: Your AI Security Teammate

Meet RADBot, an AI-powered security analyst that helps your team investigate threats, prioritize risks, and respond—faster and with greater precision than ever before.

Unlike other AI security tools that simply generate summaries or flood teams with more automated alerts, RADBot actually connects the dots. It investigates incidents, finds relationships between security signals, and gives teams clear, explainable next steps.

Think of it as an on-demand expert investigator—without the hiring headache.

What RADBot Can Do

Security teams don’t have time to chase down every anomaly or manually correlate logs across fragmented security tools. That’s where RADBot steps in. When a new potential threat arises, RADBot doesn’t just notify you—it starts the investigation for you. It automatically correlates data from multiple sources, identifying how an issue started, what systems are impacted, and whether it aligns with known attack patterns.

Beyond just flagging risks, RADBot prioritizes threats based on real-world impact, cutting through the overwhelming volume of alerts and highlighting what actually requires action. It’s the difference between an AI that tells you a door is open and one that tells you which door, who walked through it, and whether they should have access in the first place.

How It Works

RADBot analyzes runtime behavior, attack paths, and security logs in real-time, continuously mapping out risks. Rather than leaving security teams to manually triage and connect the dots, RADBot proactively provides context for every incident.

For example, when an anomaly is detected in cloud infrastructure, RADBot doesn’t just send a generic alert. Instead, it traces the event back to its origin, identifies the potential threat actor, and outlines recommended response actions. It seamlessly integrates into existing security stacks, enriching alerts with detailed, explainable insights so that teams can take action without second-guessing.

The Real-World Impact

Take a security team facing an onslaught of alerts from misconfigurations, anomalous logins, and container runtime deviations. Before RADBot, triaging these alerts took hours—sifting through logs, investigating access patterns, and manually reconstructing attack paths.

With RADBot, that same team saw a 70% reduction in investigation time. Instead of manually correlating events across security tools, RADBot automatically mapped out attack paths, linked anomalies to known threats, and provided step-by-step recommendations.

Security teams using RADBot also experienced fewer false positives, as its AI-driven prioritization ensured analysts only focused on true risks. 

Compliance teams benefited too—RADBot’s automated security documentation significantly reduced the time spent preparing for audits and reporting on security controls.

Another team using RAD Security reduced the time it took to do monthly GRC reporting from nearly 30 days…to under 30 minutes. RADBot changed GRC reporting from a never-ending Sisyphean task that started over the moment it was finished—into a quick, easy process that’s over by the time their team has finished their first cup of coffee.

Why RADBot is Different

What makes RADBot stand apart isn’t just AI—it’s how AI is used to empower security teams rather than overwhelm them. Unlike traditional security tools that flood analysts with raw data, RADBot analyzes, explains, and prioritizes risks in a way that makes sense.

Most AI-driven security products act like an overactive alarm system—raising more questions than they answer. RADBot flips this dynamic on its head by serving as a true investigative partner. It not only detects threats but provides clear explanations, maps attack paths, and suggests what to do next based on real-world security logic.

RADBot is also built for lean security teams—those that don’t have unlimited staff but still need enterprise-grade security. Instead of requiring teams to build complex workflows or manually fine-tune AI models, RADBot works out of the box to streamline investigations and decision-making.

And most importantly, RADBot is not a black box. Every decision, every correlation, and every recommendation is fully explainable—ensuring that security teams stay in control of their operations, rather than blindly trusting AI-generated results.

Ready for Security That Thinks Like You Do?

RADBot doesn’t just surface threats—it connects the dots, automates the busywork, and gives you the answers you need, when you need them.

Put your first RADBot to work today: radsecurity.ai/test-drive