Security teams are under pressure.
The maturity model was supposed to be a roadmap to strength. But for many teams, it became a trap.
Each new phase promises improvement. But in practice? More tools. More dashboards. More noise. Every step forward adds operational overhead, governance burden, and cross-team complexity. Instead of gaining ground, security leaders often find themselves stuck: supporting a stack they no longer fully control, and chasing value they can't clearly prove.
The result is maintenance ... when everyone wanted momentum.
One CISO put it best: "We bought a stable of racehorses. Now we’re stuck mucking the stalls."
Teams today need a new kind of support: fewer distractions, faster answers, and fewer manual hours spent chasing problems across fragmented systems.
RAD delivers that support.
What Agentic AI Makes Possible
Agentic AI unlocks clarity, speed, and autonomy.
With RADBot—your AI-powered security teammate—teams streamline triage, generate clear explanations, recommend next steps, and create audit-ready documentation.
RAD brings together runtime, identity, configuration, and cloud signals. With MCP-powered integrations, RADBot even sends those insights straight into the IDE, helping developers fix issues without breaking focus.
This system is grounded in real-time telemetry, behavioral fingerprinting, and AI reasoning that aligns security with the way people already work.
Built for Today’s Security Realities
Security teams are asked to do more with less...and still raise the bar.
RAD helps cut reporting cycles from 30 days to 30 minutes. Triage and investigation times drop by as much as 90%.
The impact spans the stack:
- Analyst-ready output – Security analysts need to move quickly without getting lost in raw data. RAD summarizes findings, connects signals, and highlights relevant context, so analysts spend less time stitching logs together and more time making decisions.
- Developer-ready fixes – Developers are essential to cloud security, but they can’t spend hours digging through tools or trying to decipher vague tickets. RAD brings remediation suggestions directly into the IDE, written in developer-friendly language and mapped to the code they’re already working on.
