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.

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    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.

    Enterprise-Grade Performance

    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.

    Production-Scale Intelligence

    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 Intelligence

    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.

    Trust & Transparency

    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.

    Flexible Deployment

    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

    Where SAGE™ Fits

    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.

    Questions

    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.

    The Intelligence Core

    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

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