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Spharaka's Proprietary AI Model
SAGE™ AI Model
SAGE™ is Spharaka's proprietary AI model for autonomous cyber defence.
SAGE™ is Spharaka's proprietary Cybersecurity SLM, developed by fine-tuning state-of-the-art open foundation models using Spharaka's proprietary cybersecurity datasets, reasoning frameworks, and autonomous investigation technology.
Built for Security Operations
Unlike general-purpose SLMs or LLMs adapted for security use cases, SAGE™ is built from first principles to understand attacks, investigations, and response. It operates as the core intelligence layer within the Spharaka platform, trained on 16 million real-world cybersecurity events.
Built for Enterprise-Scale Security Operations
Purpose-built to operate in complex, high-volume enterprise environments, enabling security teams to scale decisively without compromising accuracy, explainability, or control.
SOC-Scale Processing
Designed for SOCs processing 100,000+ alerts per day with consistent performance across hybrid, multi-cloud, and distributed infrastructures.
Autonomous Triage & Investigation
Supports autonomous triage, investigation, and decision support, reducing dependency on linear analyst headcount growth.
Multi-Domain Intelligence
Trained on millions of security events across endpoint, network, identity, cloud, and email domains for comprehensive threat understanding.
Advanced Threat Scenarios
Deep exposure to ransomware, APTs, insider threats, data exfiltration, lateral movement, and privilege escalation attacks.
Deep Security Training
The intelligence of SAGE™ is grounded in extensive exposure to real-world security operations. SAGE™ is Spharaka's proprietary Cybersecurity SLM, fine-tuned on state-of-the-art open foundation models using Spharaka's proprietary cybersecurity datasets, reasoning frameworks, and autonomous investigation technology. It has learned from millions of confirmed security incidents and is continuously enriched with evolving attacker techniques, investigation outcomes, and response patterns.
This depth ensures relevance in live enterprise environments, not just controlled test cases.
Advanced Threat Scenarios
Ransomware and extortion campaigns
Advanced Persistent Threats (APTs)
Insider threats
Data exfiltration
Lateral movement and privilege escalation
Security-Specific Reasoning, Not Generic AI
Trained on security workflows, not conversational data. Traditional AI summarizes alerts. SAGE™ reasons over incidents.
End-to-End Attack Chains
Natively understands complete attack chains and kill paths across your entire infrastructure.
Cross-Domain Correlation
Maps cause-effect relationships across heterogeneous telemetry and temporal sequencing of attacker behavior.
SOC Analyst Logic
Trained on how SOC analysts investigate, validate, and conclude incidents, mirroring expert decision-making.
Incident-Scale Context
Processes tens of thousands of events per incident, correlating activity across multiple hosts, users, and extended time horizons.
Evidence-Grounded Intelligence
Every output is strictly grounded in verified telemetry. No speculative analysis or hallucinated root causes.
Evidence-Grounded
Every conclusion is supported by correlated events, behavioral indicators, and cross-domain validation.
Fully Traceable
Deterministic reasoning layers prevent unsupported conclusions. Every decision is explainable and defensible.
Actionable Outputs
Produces analyst-ready investigation summaries and executive-level incident narratives.
Confident Conclusions
Clearly differentiates between benign anomalies, suspicious behaviors, and confirmed malicious activity.
Autonomous Operations with Enterprise Control
Multiple operational models to align with enterprise risk tolerance, enabling gradual adoption of autonomy without disrupting existing SOC processes.
Fully Autonomous
Complete autonomous investigation and triage for maximum efficiency.
Human-in-the-Loop
Approval workflows for organizations requiring human validation.
Analyst-Assist
Accelerated investigations with AI-powered support for human analysts.
Why SAGE™
Trained on real security events, not internet text
Built to investigate and reason, not imagine
Designed for SOC-scale production environments
Every conclusion backed by verifiable evidence
SAGE™, Spharaka's proprietary AI model for autonomous cyber defence
SAGE™, Sphere™, and AuraXP™
Three distinct layers, one autonomous cyber defence system.
Spharaka Sphere™
The Platform
The unified autonomous cyber defence platform that ingests telemetry across endpoints, network, identity, cloud, and OT, and delivers detection, investigation, and response as one system.
AuraXP™
The Agentic Fabric
The multi-agentic execution layer inside Sphere™, with 40+ specialized AI agents that reason, act, and coordinate response in real time.
SAGE™
The Cybersecurity SLM
Spharaka's proprietary Cybersecurity SLM. The reasoning core underneath Sphere™ and AuraXP™, grounded in verified telemetry and cybersecurity-native training.
Related Resources
Explore how SAGE™ connects to cybersecurity AI, agentic defence, and autonomous SecOps.
AuraXP™ Technology
The agentic AI fabric powered by SAGE™.
Spharaka Sphere™
The unified platform SAGE™ reasons within.
Why Cybersecurity Needs Its Own AI
The case for cybersecurity-native models over generic LLMs.
Sphere™ Powered by a SAGE™ AI Model
How a purpose-built model changes SOC economics.
AuraXP™ Explained
The agentic engine built on top of SAGE™.
Autonomous cyber defence platform
The category SAGE™ was built to enable.
AI-Assisted vs AI-Driven Investigation
Why reasoning models matter more than assistants.
AI SOC Platform
How SAGE™ operationalises the autonomous SOC.
Autonomous Threat Hunting
Hunting driven by SAGE™ reasoning.
Frequently asked questions
Everything you need to know about the SAGE™ AI Model.
What is SAGE™?
SAGE™ is Spharaka's proprietary AI model for autonomous cyber defence. It is a Cybersecurity SLM developed by fine-tuning state-of-the-art open foundation models using Spharaka's proprietary cybersecurity datasets, reasoning frameworks, and autonomous investigation technology.
How is SAGE™ different from general-purpose AI models?
Unlike general-purpose SLMs or LLMs adapted for security use cases, SAGE™ is built from first principles to understand attacks, investigations, and response. It is trained on 16 million real-world cybersecurity events, not conversational data, delivering deterministic, evidence-backed reasoning specifically for Security Operations Centers.
What kind of training data powers SAGE™?
SAGE™ is trained on millions of security events across endpoint, network, identity, cloud, and email domains. It has learned from hundreds of thousands to millions of confirmed security incidents and is continuously enriched with evolving attacker techniques, investigation outcomes, and response patterns.
How does SAGE™ prevent hallucinations or speculative analysis?
Every output generated by SAGE™ is strictly grounded in verified telemetry collected by the Spharaka platform. Deterministic reasoning layers prevent unsupported conclusions. No speculative analysis or hallucinated root causes, every conclusion is traceable, explainable, and defensible.
Can SAGE™ handle complex, multi-stage attacks?
Yes. SAGE™ is designed to operate at full incident scope, processing tens of thousands of events per incident. It correlates activity across multiple hosts, multiple users, and extended time horizons, reconstructing complete attack narratives including long dwell-time intrusions.
What operational modes are available?
SAGE™ supports multiple operational models: fully autonomous investigation and triage, human-in-the-loop approval workflows, and analyst-assist mode for accelerated investigations. This flexibility enables gradual adoption of autonomy without disrupting existing SOC processes.
How does SAGE™ improve over time?
Analyst feedback loops enable continuous improvement without full model retraining. Guardrails prevent overconfident decisions or unsupported actions, while deterministic reasoning combined with explainability ensures the system evolves safely within enterprise governance frameworks.
SAGE™ AI Model
SAGE™ is Spharaka's proprietary AI model for autonomous cyber defence, delivering the depth, rigor, and trust required to operate security at enterprise scale.
The Intelligence Core of Spharaka Autonomous Cyber Defense