AuraXP™ Explained: The World's First Agentic AI Engine Built Exclusively for Cybersecurity

AuraXP™ is the agentic AI engine at the core of Spharaka Sphere™ — built with 40+ specialized AI agents, a proprietary Cyber LLM, and organisational memory — purpose-engineered to reason, act, and learn in real-time cyber defence.

AuraXP is Spharaka Networks' proprietary Agentic AI Native Technology — the intelligence engine powering Spharaka Sphere. It deploys 40+ specialized autonomous AI agents coordinated by the Spharaka Cyber LLM.

AuraXP operates through five core verbs: Perceive (continuous multi-domain monitoring), Reason (Cyber LLM contextual analysis), Decide (autonomous response selection), Act (real-time containment execution), and Learn (organisational memory).

The Spharaka Cyber LLM is purpose-trained for cybersecurity operations, serving as the central reasoning and coordination layer. It synthesises signals from all 40+ agents into unified threat narratives and generates dynamic incident response playbooks.

Organisational memory is AuraXP's continuous learning capability — a persistent intelligence layer that records and learns from every incident, response action, outcome, and environmental change.

AuraXP's Zero False Positive approach means multi-agent intelligence and Cyber LLM reasoning are applied to filter and correlate signals before they surface to analysts.

Frequently Asked Questions

What is AuraXP?

AuraXP is Spharaka Networks' proprietary Agentic AI Native Technology — the world's first agentic AI system purpose-built exclusively for cybersecurity, deploying 40+ specialized autonomous AI agents coordinated by the Spharaka Cyber LLM.

How is AuraXP different from other AI in cybersecurity?

AuraXP is an end-to-end agentic intelligence layer that perceives, reasons, decides, acts, and learns across the full security operations lifecycle.

What are the 40+ agents in AuraXP?

Agents include endpoint behavioural monitoring, network traffic analysis, identity anomaly detection, cloud workload security, email security, UEBA, threat intelligence correlation, lateral movement detection, Shadow AI governance, and more.

What is the Spharaka Cyber LLM?

A large language model purpose-trained for cybersecurity operations, serving as the central reasoning and coordination layer of AuraXP.

What is organisational memory?

AuraXP's continuous learning capability — a persistent intelligence layer that records and learns from every incident, response action, and environmental change.

What is the Zero False Positive approach?

Multi-agent intelligence and Cyber LLM reasoning filter and correlate signals before surfacing to analysts, ensuring only verified incidents reach the security team.