Secure Intelligence
for Cyber Risk.
Analyze vulnerability data and risk reports using a fully isolated, on-prem AI system built for security-first environments. No shared models. No external APIs. No data leakage.
AI-Powered Analysis.
Zero Compromise.
QStellar AI is an integrated assistant that helps security teams analyze and interpret security data while maintaining strict data isolation. Built on RAG architecture, it operates entirely within your deployed environment.
No shared models. No memory retention. No data used for training. Every inference is stateless and ephemeral by architecture.
Customer Infrastructure
Retrieval-Augmented
Intelligence.
Every response is grounded strictly in the data you provide without relying on external or historical information. Ephemeral by architecture, not by policy.
Upload
User uploads a vulnerability report or dataset explicitly. No background ingestion or autonomous collection occurs.
Index
Relevant context is extracted and temporarily indexed in-session scoped strictly to the uploaded material.
Retrieve
Queries retrieve only the locally indexed fragments. No external databases or historical data is consulted.
Generate
Responses are generated using only the retrieved local context. Every output is grounded in what you uploaded.
Discard
Temporary index is purged after the session. No embeddings, memory, or data persists beyond the active request.
AI Intelligence Module
Live risk reasoning · Exploit-aware · Fully on-prem
What QStellar AI
Helps You Do.
Context-Aware
Risk Analysis
Combines asset criticality, exploit likelihood, and real exposure data to produce precise, infrastructure-aligned prioritization not generic scoring based on CVSS alone.
Actionable Priorities
Transforms vulnerability noise into clear, ordered remediation sequences your teams can act on immediately.
02Governance-Aligned
Explainable outputs aligned to NIST, ISO 27001, and CIS. Verified against real platform data at every step.
03Zero Retention
Ephemeral sessions only. No embeddings, no cross-customer contamination, no data persistence ever.
04Zero Data Retention
by Design.
QStellar AI enforces strict isolation guarantees to protect customer data. Each interaction is fully isolated and ephemeral these are architectural guarantees, not configuration options.
Memory
No learning from previous interactions
Training
No model fine-tuning using customer data
Isolation
No shared embeddings across customers
Retention
No long-term memory of uploaded data
Inference
No reuse of reports for future inference
Architecture
Stateless inference per every request
Customer Infrastructure
AI That Runs Inside
Your Infrastructure.
All AI processing occurs within your controlled environment. No communication with any external AI service, no vendor telemetry, no data exit. Designed for regulated organisations.
On-Premises
Full sovereignty
Private Cloud
Customer-managed
Air-Gapped
Zero egress
Regulated Envs
Compliance-ready
Integrated with QStellar Intelligence.
AI analysis stays consistent with platform intelligence across all modules.
Vulnerabilities
Agent-based CVE findings and lifecycle states
VM Intelligence
Scanner-derived findings from Nmap, Nessus, OpenVAS
Reports & Snapshots
CSV and PDF exports from all platform modules
Asset Risk Engine
QCT risk scores and per-asset aggregated priorities
Common Questions.
Everything you need to know about QStellar AI's architecture, data handling, and deployment model.
Secure AI for Cyber
Risk Intelligence.
See how QStellar AI works in your environment fully isolated, explainable, and built for regulated organisations.