The Ecosystem
Proxima Security Core Technologies
Traditional cybersecurity is built around isolated tools reacting to isolated events. Proxima was designed differently.
At its core, Proxima Security is a living, intelligent ecosystem where simulation, learning, memory, and decision-making continuously reinforce each other. Each component can operate independently.
Together, they create something new: predictive security by design.
Continuous, not periodic
Runs as long as your engagement does, not once a quarter.
Iterative by design
Every simulation improves the next. The system learns from itself.
Human-validated output
Every finding reviewed by a certified analyst before it reaches you.
THE ECOSYSTEM DIFFERENCE
Most security platforms automate a phase. Proxima automates the entire cycle.
And makes each phase smarter from the one before.
Not a single-task agent
Most AI penetration testing tools pick one part of the security cycle, scanning, reporting, or remediation, and automate it. That still leaves the rest to manual effort, separate vendors, and gaps between them.
Not the usual AI-Driven
Proxima was designed around a different premise: that real security intelligence only emerges when every phase connects. When simulation data feeds directly into machine learning. When ML output drives the next attack scenario. When every finding is archived, correlated, and used to improve what happens next.
A real Full-Cycle AI Security
That's what full-cycle AI means in practice not AI as a layer on top of existing tools, but AI as the connective tissue of the entire operation, from threat modeling to remediation roadmap.
HOW IT WORKS
Four systems.
One continuous intelligence loop.
This is how full-cycle AI penetration testing actually runs.
The Proxima Ecosystem is not a stack of separate tools connected by API calls and manual handoffs. It's a closed intelligence loop where each component informs the next, autonomously, continuously, and with zero drift between phases.
Each cycle ends where it begins: with Bubi reprocessing the output from Cornelia to generate sharper, more targeted scenarios for the next run. The system doesn't just test your environment, it learns it.
Certified security analysts validate every finding before it reaches you. No autonomous output without human review.
01/04 — The Library
Cornelia
The Living Memory That Through Bubi Makes Ori Smarter Every Day
Cornelia is not just a data lake. It’s a structured, intelligent knowledge base that evolves constantly.
Every attack, test, anomaly, and interaction is recorded, processed, and categorized, feeding Ori with the experience of thousands of engagements.
Think of Cornelia as the collective memory of the platform. It holds everything:
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Known vulnerabilities.
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Emerging tactics, techniques, and procedures (TTPs).
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Simulation outcomes
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Analyst feedback.
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Exploit-response success rates
Through its symbiotic relationship with Ori and Bubi, Cornelia enables context-aware analysis, allowing Ori to make decisions not just based on raw data, but historical insight.
02/04 — The brain
Bubi
Reasoning, built for cybersecurity.
Bubi is Proxima's proprietary machine learning framework, multi-layered, trained on real attacks, synthetic simulations, and analyst-validated patterns. Not a generic ML model retrofitted for security. Purpose-built, context-aware, real-time, and fully explainable.
Why Bubi is Revolutionary
Unlike generic machine learning models, Bubi is purpose-built for offensive and defensive cybersecurity
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Purpose-Built for Cybersecurity: Not a generic ML tool, but handcrafted to serve real attack-defense scenarios.
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Context-Aware Intelligence: Makes decisions based on deep context, not just patterns.
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Real-Time Learning: Adapts instantly to new data: zero-day ready.
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Human-Aligned Reasoning: Mimics analyst logic for explainable AI output.
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Predictive, Not Reactive: Always one step ahead of the attacker.
Bubi doesn’t just learn from the past, it prepares for what’s coming
03/04 — The Thinking Core
Ori
Ori doesn’t just react to threats, it predicts them.
Ori is not a tool. It's The Unseen Force of Proxima. It functions as an autonomous security analyst capable of simulating attacks, analyzing behaviors, and recommending mitigation strategies with minimal human input.
Built on our proprietary Bubi Machine Learning architecture, Ori continuously learns from past attacks, simulated environments, and real-time inputs from Cornelia.
This gives it a distinct ability to understand not only what happened, but also what might happen next.
Ori works silently in the background, scanning infrastructures, launching simulated attacks, observing responses, and building intelligent reports that help teams act faster and smarter.
04/04 — The Battlefield
Matrix
The Virtual Environment Where Threats Are Born and Beaten
Matrix is where the action happens. It’s a fully isolated, virtualized testing environment where targets are stressed under real-world attack conditions. Ori uses Matrix to launch safe but realistic exploits, simulating attacker behavior to test the resilience of your systems.
Matrix supports an extensive range of targets from classic web apps to complex cloud environments and APIs, adapting its structure based on each system’s architecture. It’s where theoretical threats become measurable risks.
